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Career Opportunities for Data Scientists in India vs US: Sherog's Journey

Avinash, article author
Avinash
26 Dec 202412 min read12 min watchUpdated 25 Mar 2026
Our take

Sherog went to US for Masters in 2014, worked as a data scientist for 10 years, faced visa expiration and layoff at Walgreens, and moved to India. Learn about data science career opportunities in India and why he recommends working for American companies based in India.

Compared on
  1. 01Key Highlights from Sherog's Journey
  2. 02๐Ÿ“š Background: From Mumbai to Mechanical Engineering
  3. 03๐ŸŽฏ The Turning Point: GRE and Finding His Path
  4. 04๐ŸŽ“ US Education: Northeastern and Stanford
  5. 05๐Ÿ’ผ Career in US: From Aon to Walgreens
  6. 06โœˆ๏ธ The Move Back: Visa Expiration and Layoff
  7. 07๐Ÿ‡ฎ๐Ÿ‡ณ Career in India: Data Science Opportunities
  8. 08๐Ÿ’ก Advice for NRIs Considering the Move
  9. 09โ“ Frequently Asked Questions
  10. 10๐Ÿ“š Related Articles
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Compared on
  1. 01Key Highlights from Sherog's Journey
  2. 02๐Ÿ“š Background: From Mumbai to Mechanical Engineering
  3. 03๐ŸŽฏ The Turning Point: GRE and Finding His Path
  4. 04๐ŸŽ“ US Education: Northeastern and Stanford
  5. 05๐Ÿ’ผ Career in US: From Aon to Walgreens
  6. 06โœˆ๏ธ The Move Back: Visa Expiration and Layoff
  7. 07๐Ÿ‡ฎ๐Ÿ‡ณ Career in India: Data Science Opportunities
  8. 08๐Ÿ’ก Advice for NRIs Considering the Move
  9. 09โ“ Frequently Asked Questions
  10. 10๐Ÿ“š Related Articles
Real Return Stories โ€ข Last updated: December 17, 2025
Career Opportunities for Data Scientists in India vs US: Sherog's Journey

Sherog went to the US for his Masters in 2014, spent close to 10 years working as a data scientist, faced visa expiration and layoff, and moved back to India. Discover his insights on data science career opportunities in India and why he recommends working for American companies based in India.

By Avinash, NRI Return Specialist documenting inspiring return stories ๐Ÿ“… Published: December 26, 2024 | ๐Ÿ”„ Last Updated: December 17, 2025
Data Science Career Transition Visa Challenges Hyderabad Tech Career

Key Highlights from Sherog's Journey

  • Went to US for Masters in Operations Research at Northeastern University in 2014
  • Pivoted from Operations Research to Data Science after talking with family and industry professionals
  • Spent summer at Stanford University as graduate visitor, worked at startup Smiley Go
  • Worked at Aon for 5 years in catastrophe modeling using statistical techniques
  • Worked at Walgreens as Senior Data Scientist building ML models for healthcare
  • Faced layoff during workforce reduction, visa expired with only weeks remaining
  • Now works as Staff Data Scientist at Micron Technology in Hyderabad
  • Advice: Work for American companies in India for better work-life balance

From Struggle to Success: "In my sixth or seventh grade, I took an introductory computer science course and did very well. Then my dad took me to a 12th standard computer science class when I was in seventh standard - it went over my head. So I thought computers wasn't for me. But after struggling in mechanical engineering, I realized it's not about IQ - it's about being in a stream you're passionate about."

Table of Contents

  • Background: From Mumbai to Mechanical Engineering
  • The Turning Point: GRE and Finding His Path
  • US Education: Northeastern and Stanford
  • Career in US: From Aon to Walgreens
  • The Move Back: Visa Expiration and Layoff
  • Career in India: Data Science Opportunities
  • Advice for NRIs Considering the Move
  • Frequently Asked Questions

๐Ÿ“š Background: From Mumbai to Mechanical Engineering

Sherog grew up in Mumbai, India. He was a bright student throughout his early education, scoring 92% in the ICSE board exams in 2006 during his 10th grade. After that, he did his 12th grade from the HSC board (Maharashtra state board). His journey is similar to many NRIs who eventually return to India after years abroad.

Health Challenges

Sherog had to take a drop year during his 12th grade due to health issues. He went for readmission and completed his 12th board exams before starting his undergraduate degree.

He chose Mechanical Engineering at Manipal (now NIT) for his undergraduate degree. The reasons were:

  • Manipal was highly ranked for mechanical engineering in India
  • His friends were taking mechanical engineering
  • His uncle was also a mechanical engineer

The Mismatch

However, Sherog soon realized mechanical engineering wasn't the right fit for him:

"I didn't really understand or love the field that much. I was always more interested in mathematics and statistics. I had taken an aptitude test in my 12th grade and they told me I'm not good at mechanical or manufacturing - I was supposed to be good at computer science, statistics, algorithms, and all those things."

He struggled academically, had backlogs in his mechanical engineering coursework, and his GPA was around 6 out of 10. He also dealt with depression and anxiety during this period. Understanding career opportunities in India helped him plan his eventual return.

The Early Computer Science Experience

In sixth or seventh grade, Sherog took an introductory computer science course and did very well with Word, Excel, PowerPoint, etc. But then his father took him to a 12th standard computer science class when he was only in seventh standard.

"It really went over my head. So I thought maybe computers is not good for me. That's why I didn't go for computer science but went for mechanical engineering instead."

๐ŸŽฏ The Turning Point: GRE and Finding His Path

In his third year of engineering, Sherog decided to take the GRE exam. He wanted to feel better about himself after consistently getting poor grades in his undergraduate program.

GRE Success

Sherog prepared on his own for about a month and a half using materials like Manhattan GRE books. His score: 323 out of 340

  • 90th percentile in Quantitative
  • 80th percentile in Verbal
  • 93rd percentile in Analytical Writing
"After getting that score in the GRE, I realized it's not a question of my IQ or intelligence - it's just that I may be in a stream that I'm not passionate about."

The Byju's Internship

In his final semester, Sherog got an internship offer from Byju's as an Operations Research and Marketing Intern. There, he used the Hungarian algorithm (an operations research algorithm) to optimally assign students to centers in different cities.

This experience sparked his interest in Operations Research. He had also done well in an Operations Research course in his sixth semester at Manipal - better than his other courses.

The Last-Minute Application

15 Days to Apply

On March 29th, Sherog decided to apply for an MS. The deadline was April 15th - just 15 days away.

His father said: "No, it's too late. Apply next year."

Sherog insisted: "No, I have to apply this year."

He was in Bangalore at the time and wrote his Statement of Purpose within half a day to one day because he was finally clear about what he wanted to do.

He applied to about seven universities in the US in those 15 days:

  • Rejected: University of Buffalo (within one week - "your undergrad is not good")
  • Rejected: University of North Carolina Chapel Hill (highly ranked, probably applied too late)
  • Admitted: Northeastern University in Boston - Masters in Operations Research
  • Admitted: Wayne State University in Detroit - Masters in Industrial Engineering

He chose Northeastern University because it was one of his preferred universities and had a really good program for industrial engineering, mechanical engineering, and computer science.

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๐ŸŽ“ US Education: Northeastern and Stanford

Sherog's experience in the US was transformative. He describes it as "awesome" and "totally different" from his experience in India.

First Days in Boston

In August 2015, Sherog arrived in Boston. For the first 15 days, about 15-25 Indian students stayed together in a one or two-floor house through the Boston Indian Students Association, managing together while finding apartments.

After 10 days, he moved out and found his own apartment in Boston.

Pivoting to Data Science

His first courses at Northeastern were Engineering Probability and Statistics, and Deterministic Operations Research. After talking with family members and people in the industry, he decided to pivot to data science.

He looked for courses he could take at Northeastern or other universities to transfer credits back to his degree.

The Stanford Experience

Sherog discovered that Stanford University had a summer session where they invited undergraduate and graduate students from all over the world. Students could spend three months at Stanford and take courses that could potentially transfer back to their graduate degree.

Admitted to Stanford

"When I was admitted to Stanford, it felt great. From someone who had a challenging time in undergrad to getting admitted to Stanford for any program was a great accomplishment. That was probably because I got a good GPA at Northeastern - around 3.6 out of 4 throughout my time there - because I was pursuing something I was passionate about and had a natural aptitude in."

At Stanford, Sherog:

  • Made friends from Europe - Netherlands, Denmark, America, and all over the world
  • Got his first work experience at a startup called Smiley Go

Smiley Go Startup Experience

Role: Algorithm Lead Intern

Team: Led a team of 5 interns

Project: Built a machine learning algorithm to rank and evaluate nonprofits in the US

Metrics: Evaluated nonprofits based on about 30 different metrics including financial, governance, and social impact ratios

Technology: Used boosted decision tree classifier to create a probabilistic-based ranking system

Outcome: The "smart search" system was integrated into their website for companies to find the best nonprofits to donate to

Sherog did his Co-op at Smiley Go in the Fall 2015 semester and came up with a viable product.

๐Ÿ’ผ Career in US: From Aon to Walgreens

Aon - Catastrophe Modeling (5 Years)

Sherog worked at Aon for about 5 years as a data scientist (though that wasn't his official job title). His work involved catastrophe modeling and analytics.

What is Catastrophe Modeling?

Catastrophe modeling involves building complex models to approximate weather disasters. Sherog worked on hurricane and tornado data using statistical measures like the EM algorithm and copulas (T copula, normal copula) to forecast where these disasters would strike and predict the dollar value of damage.

The Process:

  1. Look at historical data (50-60 years)
  2. Simulate thousands of years of data around that historical data
  3. Use smoothing, noise, and AI to ensure patterns follow historical data
  4. Cover all possible regions where events could occur
  5. Help companies predict damage costs

Other Roles

After Aon, Sherog worked at a couple of other companies for about six months to a year as a data scientist before joining Walgreens.

Walgreens Boots Alliance - Senior Data Scientist

At Walgreens, Sherog built machine learning models applied to healthcare:

Key Projects at Walgreens

Project Technology Impact
Credit Card Approval Prediction XGBoost, Random Forest classifiers 35% increase in customers approved for Walgreens credit card
Customer Behavior Progression Model Operations Research, Constrained Optimization, ML Analyzed behavior changes in customer purchasing patterns

This rounded up his time in the US from 2016 to 2024 - about 8 years of professional experience.

โœˆ๏ธ The Move Back: Visa Expiration and Layoff

Sherog's return to India wasn't planned - it was forced by circumstances.

The Situation

Walgreens had filed for Sherog's Green Card and the PERM application was being processed. However, PERM normally takes a long time - about one year or more for the I-140 to come through.

His visa was running out, and the initial plan was:

  1. Go back to India once visa expired in January
  2. Come back in about October once they could file for a new visa
  3. Return once the I-140 was approved

But then came the unexpected:

"There was a workforce reduction at Walgreens which affected most of the employees in my team. I was laid off from the team. They said they're going to revoke the Green Card application and the PERM."

With his visa expiring and only a couple of weeks left after his termination date, Sherog had no option but to return to India. He couldn't get another job in that short timeframe.

Timeline of Events

  • Visa Status: Six years of H1B visa was expiring
  • Layoff: Workforce reduction at Walgreens
  • Green Card: Application and PERM revoked
  • Time Remaining: Only couple of weeks after termination
  • Move: January 2024 - moved to India

๐Ÿ‡ฎ๐Ÿ‡ณ Career in India: Data Science Opportunities

After moving to India in January 2024, Sherog took a semester off to focus on his course at Georgia Tech and relax during the transition. He spent time in Delhi with family, exploring and getting used to life in India again.

In May 2024, he started his current job as a Staff Data Scientist at Micron Technology in Hyderabad, working in the Technology and Products Development Group.

Job Market Reality

India vs US Job Market for Data Scientists

"I would say it's easier in the US to find a job than in India because there are a lot of applicants for the same opening in India. Entry-level roles are particularly competitive - it's easier to find entry-level roles in the US than in India because there are a lot of applicants in India for the same roles."

Work-Life Balance

When asked about work-life balance, Sherog said it was too early to comment definitively, but he likes the work-life balance at his current company.

Recommendation: American Companies in India

Sherog strongly recommends working for American companies based in India because:

  • Better work-life balance compared to Indian companies
  • Semiconductor manufacturing is a great sector with many opportunities
  • Data science and tech in India are growing rapidly

๐Ÿ’ก Advice for NRIs Considering the Move

"It's certainly not a bad idea. If you can get used to the infrastructure difference between US and India, then there are many positives."

Positives of Moving to India

  • Family: You'll be close to family
  • Food: You have the best food in the world
  • Career: Data science and tech in India are growing with many opportunities
  • Flexibility: You can spend time in India and go back to US if you want - it's not that difficult
  • Work-Life Balance: Work for American companies based in India for better balance
  • Growing Sectors: Semiconductor manufacturing has many opportunities

Key Takeaway

"It's a good idea to spend some time in India, take a break, and be with family. There are some good companies - work for an American company based in India because they give better work-life balance."

โ“ Frequently Asked Questions

Why did Sherog move back to India from the US?

Sherog's visa was expiring and his company (Walgreens) had filed for his Green Card with the PERM application under process. However, there was a workforce reduction at Walgreens that affected most employees in his team. He was laid off and the company revoked his Green Card application and PERM. With only a couple of weeks left on his visa after his termination date, he had no option but to return to India as he couldn't get another job in that timeframe.

What was Sherog's educational and career background?

Sherog grew up in Mumbai, did ICSE board exams (92% in 10th grade), then HSC board for 12th. He did his undergraduate in Mechanical Engineering from Manipal but struggled academically (around 6 GPA out of 10). He scored 323/340 on GRE (90th percentile quantitative, 80th percentile verbal, 93rd percentile analytical writing). He did his Masters in Operations Research at Northeastern University in Boston, then pivoted to data science. He worked at Aon for 5 years in catastrophe modeling, then at Walgreens as Senior Data Scientist.

How are data science job opportunities in India compared to the US?

According to Sherog, it's easier to find a job in the US than in India because there are many more applicants for the same opening in India. Entry-level roles are particularly competitive in India. However, data science and tech in India are growing with many opportunities. Sherog recommends working for American companies based in India as they offer better work-life balance. He currently works as Staff Data Scientist at Micron Technology in Hyderabad.

What unique experience did Sherog have at Stanford University?

Sherog applied for Stanford's summer session as a graduate summer visitor and was accepted. He spent three months at Stanford taking courses that could transfer back to his Northeastern degree. There, he worked at a startup called Smiley Go as an Algorithm Lead Intern, leading a team of five interns to build a machine learning algorithm to rank and evaluate nonprofits in the US based on financial, governance, and social impact ratios using boosted decision tree classifiers.

What advice does Sherog give for NRIs considering moving to India?

Sherog advises: 1) It's not a bad idea if you can adjust to infrastructure differences, 2) You'll be close to family and have the best food in the world, 3) Data science and tech in India are growing with many opportunities, 4) You can spend time in India and go back to US if you want - it's not that difficult, 5) Work for American companies based in India for better work-life balance, 6) Semiconductor manufacturing is a great sector with many opportunities.

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Chapters

  1. 0:00 Introduction
  2. 1:47 Background
  3. 8:14 Education in US
  4. 11:53 Career journey
  5. 14:21 Social life in US
  6. 15:26 Why move to India?
  7. 16:57 Career opportunities in India vs US
  8. 18:36 Financial planning
  9. 19:40 Advice for future aspirants

Transcript

Auto-generated captions, lightly cleaned

0:03 Initial plan was for me to go back to India once my Visa expired in January and to come back in about October once they were able to file for a new visa for me and once the i140 was approved but there was a Workforce reduction at Walgreens which affected most of the employees in my team and data science in India is growing Tech in India is growing so there are many opportunities back home in India and you can spend some time in India and if you want you can go back to us as well it's not that difficult so I would say that it's a good idea to spend some time in India take a break and be with family hello everyone welcome back to to another episode of DAC return today we have sherog on our show sherro went to

1:06 Us for his Masters in 2014 and decided to move back to India early this year so he spent close to 10 years and some of the unique aspects that I'm very curious in our discussion today is how you know from someone who did his undergrad in India and what he learned during the time and how he evolved himself like while spending the time in us especially in the Masters working there and so on and what made him to move to India and how is the life in India after the move from a career perspective and so on and I'm really looking forward to the discussion with that Welcome sheral to our show thank you Vash for having me on the show

1:47 Thanks a lot so let's start a bit about your background what made you to move to us I think that would be helpful and then we can go from there if you're relocating to India after years abroad listen up I have created something that will absolutely save you precious time that most nris waste while Googling this is based on my interaction with hundreds of people about their move back Journeys and uncover the biggest frustrations nris face when planning their return so I came up with something that can help a 15we email series a free stepbystep road map to address these challenges and make your move PA smoother and stressfree with you're moving back for family retirement or VISA related reasons we got you covered here is what you will get each week actionable tips to decide if moving back is the right choice strategies to plan your move back whether it's from Logistics career Financial tax planning

2:48 How to choose the best school for your kids and we also have several checklist that help you with the move from a financial Logistics and much more this isn't just an advice it's carefully crafted Road map to save you time reduce stress and help you make better decisions ready to plan your move with a confidence click the link below in the description to join for free and start receiving actionable strategies right in your inbox so I grew up in mbai India and and I was in the ICC board exam and U and I was in my 10th grade I was a bright student throughout scoring 92% in the ICC board exams in 2006 and then after that I did my 12th grade from the the HSC board exam which is a Maharashtra state board exam and I had to take a drop here because I I I was going through some health issues during that time so then I I then I went for readmission of my 12th board exams and then I started my undergraduate degree in mechanical engineering from manipal the reason I took mechanical engineering

Read the full transcript (22 more sections)

3:48 Because manipal is highly ranked for mechanical engineering in India and it's very well known in mechanical engineering and my friends are taken mechanical and my uncle also is a mechanical engineer So based on all those I took mechanical engineering but I didn't really understand I didn't really love the the field that much I was always more interested in mathematics and statistics and and always I Am Naturally good at certain things and I taken an aptitude test in my 12th grade and they told me that I'm not good at mechanical of manufacturing so I was supposed to be good at computer science and statistics and and all that all those algorithms and all those things and actually but the thing is that let me explain what happened so in my sixth or seventh grade I I I took an introductory computer science course and I did very well like word excel PowerPoint and all that and then my dad took me to a 12th standard computer science class when I was in seventh standard so I was five classes behind and it really went over my head so then I thought that okay after that experience maybe computers is not good

4:49 For me so then I didn't want to go for computer science but I went for mechanical engineering got it and I struggled and I didn't do great and I I I I had back dos in my mechanical engineering cour work and and my GPA was around 6 out of 10 around around it's the six point range and I'm happy that I got the degree at the end of the day because I did struggle academically and with depression and all these anxiety and all these issues but the thing which help helped me turn around was in my third year in the GRE exam because I was consistently getting not great grades in in my in my undergrad so I I wanted to feel better about myself and I wanted to feel that okay you can go back to you were in in the first 15 years of your life 16 years of your life academically always the top in the class right it's only in the last four five years that you have reduced your average so then I I I prepared for the GRE and I prepared on my own with the help of some materials like Manhattan and all those good books of the G and I prepared for about a month

5:49 Mon month and a half and I got a score of 323 out of 340 with a with a 90th percentile quantitative 80th percentile verbal and a 93 percentile analytical writing so after getting getting that score in the G I realized that okay it's not a question of my IQ or it's not a question of my intelligence it's just that I may be in the in a stream that I'm not passionate about so then so then what happened was that that I got a job placement from by at the time okay in in in in the final semester I got an internship offer from byus and and I and I and I was in operations research intern and marketing intern at byus there I buil I used the Hungarian algorithm which is an algorithm in operations research to optimally assign students to centers okay in different cities of BYU and that work experience made me more interested in operations research and I taken an operations research course in my sixth semester of manipal and I done better than I done in the other courses so I thought why not explore Ms in operations research so then I what what

6:51 What I did was that I applied it was on March 29th that I decided to apply for an MS and April 15th was a deadline for that fall so I I remember I was in I was in Bangalore at the time and I told my dad that Dad I want to apply for Ms he's like no it's too late apply next year no no I have to apply this year and then I because it was clear that I had to do an MS it was not clear in what field I wanted to do it but now I knew that I had to do it in operations research and industrial engineering because that was something I like doing so then I applied to about seven universities in the US in in 15 days and I wrote my sop within half a day one day and because I was clear as to what I wanted to do and what I was passionate about and then I was and then and then I was rejected by University of Buffalo after after one week of applying saying that your undergrad is not good so you're rejected and then also I was rejected by University of North Carolina Chapel Hill which is a very highly ranked University because probably I applied late and all that because they didn't focus on J but I was admitted to Northeastern University in Boston which was one of my preferred universities and

7:54 I was admitted for the Masters in operations research and then I was also applied admitted by Wayne State University in Detroit Michigan for their masters in industrial engineering so that was a typical admit based on my profile but I was excited about the admit from Northeast because N is a good really good University for for industrial engineering and mechanical engineering all any engineering in computer science

8:14 So once you have these schools where you got the admission so how was the life in us which school did you decide and how did I mean I think I'm assuming you are able to find the the curriculum or like you know the program that you really enjoy with you thrive so maybe explain like how the story was how the life was in us oh it was awesome I mean it was a totally different experience for me from India and then I went to Boston and I remember the first for the first 15 days that we we went to the Boston Indian Students Association in August 2015 and there were 15 of us 25 of us staying in one one one one I think two floor house and we were just managing but after 10 days I moved out and I found an apartment in Boston and my and and I was very excited for my program because as the first time I was going on my own and I was leaving my whole family back in India and then yeah I mean it was typical like the first few courses at at at Northeastern were were engineering probability and statistics and deterministic operations research so then I decided to go to data

9:16 Science after talking with a few of my family members and after a few of the people in the area and then as a result I I I looked for courses I could take at Northeastern or other universities to transfer credit to Northeastern turn and then I I I I found the Stanford University was a great University where they had a summer session in which they could invite students undergraduate and graduate students from all over the world to apply and those students could spend three months at Stanford and take courses that they could potentially transfer back to the graduate degree and so then I applied for courses at St for the summer session as a graduate summer visitor at Stanford University and I was accepted and when I was admitted to Stanford it felt great because from someone who who had a challenging time in undergrad to get to get admitted to Stanford for any program was a great accomplishment and that was probably because I got a good GPA at nor Eastern and my GPA was always in a good range around 3.6 out of four throughout my time at nor Eastern and because I was pursuing something I was passionate

10:16 About and had a natural aptitude in so then I went to Stanford after my second semester and there at Stanford I met I met I made friends from Europe and from from Netherlands and from Denmark and from and from America there were people from all all over the world yeah and there that was when I got my first work experience because I joined a startup called Smiley go at Stanford which was a which was a early stage very early stage startup and and my role there was an algorithm lead intern so I was leading a team of interns to build a machine learning algorith first collect data and then build a machine learning algorithm where they could Rank and evaluate nonprofits in the US because it was a CSR Corporate social responsibility focus focus organization so the goal was to evaluate nonprofits and rank them based on their financial governance and social impact ratios and then so that so then any company that which wanted to find the best nonprofits to donate to would come on the smiley Go website and they could filter by by ranking of these nonprofits and find the best nonprofits in education or in

11:18 Healthare or in or in or in noos or different types of nonprofits in the US so I use the boosted decision free classifier to to rank these nonprofits based on all these about 30 different metrics and and I buil a probalistic based ranking system leading a team of five interns and I did my Co-op at Smiley go in the fall 2015 semester and I came up with a viable product which was then integrated into their website and and and they used that to to the search and ranking system it was called a smart search based system got it so

11:54 I think after the education like how was the you know career progression like you know the life there maybe you can talk through like that's that's part of it yeah so I worked at Aon for about five years and as a data scientist typically that was not my job title but that was effec the job that I was doing applied to tastrophy modeling and analytics and I built complex models which which approximated weather disasters like I worked on hurricane and tornado data you know using statistical measures like the like the IM algorithm then I use copular T copular normal copular basically techniques which could forecast where these tornadoes and hurricanes would strike and what could and using science and damage functions and all the catastrophe modeling terminology which could enable the companies to to predict where these where these to like forecast exactly the dollar value associated with the damage so what happens in catastrophe modeling is that you look at the historical data and you simulate thousands of years of data around that historical data to ensure that they follow the patterns in the historical

12:55 Data so that assuming you have 50 60 of historical data you use that and you use smoothing and noise and AI to simulate thousands of years of stochastic data around that data so that it covers all possible regions where these events could occur of course Guided by history so I worked for about five years in that and then then I moved to a couple of other companies for about six months or a year as a data scientist and then I and then I moved to Walgreens as a senior data scientist Walgreens boots Alliance yeah I worked as a senior data scientist where I built in where I built machine learning models applied to healthcare you know like XG boost and random forest and and stuff like that and I buil classifier algorithms to basically predict which Walgreens customers were likely to be approved for a credit card Walgreens credit card and my model was deployed in aor and led to a 35% increase in customers who were who were approved for the Walgreens credit card after that and then I also another another thing which I worked on was a Walgreens customer Behavior progression model where I analyzed the behavior

13:57 Change in behavior of customer purchasing behavior and I and I and I did operations research constrainted optimization as well as a machine learning technique to understand the customers better and do some analytics about that so that rounds up my time in the US for about 8 years from 2016 2024 and then and then and then maybe I can you can ask me the next question and I can move on the sure so I think before me moving on I think you know about

14:21 Moving to India I think you kind of touched quite a bit on the work experience right I think you know the career and all that stuff which is fantastic how was was the social life how was the you know the different things like life in Us in general like overall like you know other than the corporate and career career side of it yeah it was pretty good it was quite good I found it was good to watch people it was driving in the US was definitely easy and it was not that complicated I mean I drove a car in the US and it was nice to see people follow rules and and not fut each other and stay in the lanes and respect privacy and as a as a pedestrian you're safer you're really safe in the US because they wait for you to cross the street and they respect your personal space stuff like that so I like those aspects and I made some good friends through Art of Living you know stre R Shankar's Art of Living we also have regular Korea and meditation sessions in Chicago and I went there and I had a good time I made friends in the building and in the community and we used to do

15:21 Meditation together go on Hikes and biking and stuff like that so it was a really good experience that's nice so

15:29 What made you to move back to India and why things change I mean seems like you have been doing fantastic work you know on the data science especially a lot of these algorithms that you have done being utilized and all that stuff so what happened and what changed to move back to India yeah so Walgreens had filed for my green card and the perm application was being under process and there was a bit of an issue with the VISA because there was a because my Visa was running out and firm normally takes a long time to get a approved it takes about one year or even more than a year for the i140 to come through and the initial plan was for me to go back to India once my Visa expired in January and to come back in about October once they were able to file for a new visa for me and once the i140 was approved but there was a Workforce reduction at Walgreens which affected most of the employees in my team and I was laid off from the team and I I had no option and they and they said that they they're going to revoke the Green Card application and they're going to revoke the perm so I had no option but to go back to India because I couldn't get another job as well because

16:30 Once the after my termination date from Walgreens got over I had only about a couple of weeks left to on my Visa oh so because the Visa is expiring so that's why you have the couple of weeks and not like 60 days like when the H1B and all that stuff yeah yeah okay so you have to make six six years of my Visa was expiring so okay got it so once you have decided that you want to move back to India like how was the trans

16:58 Deion like you know was there anything that you did from a career side or you took some break and then look for opportunities here in India so just wondering on that and then how was the career opportunities for data scientists in India right now so I moved to India in January and 20124 and and I took the semester off and because I wanted to focus on my course at Georgia Tech and relax during the transition and then it was a great time I was in Delhi for a while with my family and and we had a good time and I was exploring Delhi and understanding and and getting used to India life and how things are in India again and then in May 2024 I started my current job as a staff data scientist at micro technology in Hyderabad and currently I work in the technology and products Development Group as a staff data scientist and I've been working there in Hyderabad since May so that is more about the fil that's fantastic so how easy is it to find the job here in India and also how are the career opportunities any any any insights that you can provide on that and for data scientist yeah I would say

18:00 It's easier in the US to find a job than it is to find in India because there are a lot of applicants for the same opening in India and and for I mean it's easier to find entry-level roles in in in us than it is in India because there are a lot of applicants in in India for the same roles I would say got it and anything that you can share like from a work life balance career opportunities between us and India anything that you can share or is it too early for you to comment on that yeah I think now it's too early but I think I like the work life balance where I am currently quite good so got it

18:36 Sounds good so is there anything that you can share some light in terms of anything on the financial planning or anything that you can I think you know at the time of the move when you decided that yeah you know you wanted to move to India yeah yeah so about the move there was no other option because my Visa had expired so I didn't want to transfer to like a like a visitor visa and go through all that so so I moved back but I would have liked to have a few more years in the US in terms of Finance but I think the finance is quite good so far so I want to continue with that and and and so far I like the Indian system where you we have sips and stuff like that you can invest in them and and you can get returns after some time so I like that system so I'm working on that so far got it okay so is there any topic that we haven't covered that you would like to bring up you know from our discussion today not really no I think I've covered everything so got it great thanks any

19:37 Final words of advice for the people

19:40 Who are thinking about moving back to India yeah I think it's certainly not a bad idea I mean if you can get used to the infrastructure change difference in US versus India then there are many positives like you'll be close to family you have the best food in the world you know you have so many aspects and data science in India is Tech in India is going so there are many opportunities India take a break and be with family and also work here there are some good companies like I would say work for an American company based in India because they give better work life balance and you know semiconductor manufacturing is a great great place and and and there are many opportunities so it's a good idea no that's fantastic So yeah sherak thank you very much for taking your time and sharing your journey with us and being very candid I mean I think the reasons why you moved back to India and how the opportunities here in India

20:43 I think really appreciate you taking the time and sharing your journey with us today yeah yeah thank you thank you so much

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The market for return to India jobs is robust, especially for senior tech roles, data science, product management, and leadership positions. Many Global Capability Centers (GCCs) and Indian startups actively hire returning NRIs for their global exposure. To succeed, leverage LinkedIn networking and negotiate your CTC in INR based on purchasing power parity rather than direct USD conversion.
It's easier to find a job in the US than in India because there are many more applicants for the same opening in India. Entry-level roles are particularly competitive in India. However, data science and tech in India are growing with many opportunities. Working for American companies based in India (like Micron, Google, Microsoft) offers better work-life balance compared to Indian companies. Semiconductor manufacturing is a great sector with many opportunities for data scientists.
When you're laid off on H1B visa, you typically have 60 days grace period to find a new job or leave the country. If your company had filed for Green Card with PERM application, they will revoke it upon termination. With only a couple of weeks left on visa after termination, it's nearly impossible to get another job in that timeframe. Many NRIs in this situation have no option but to return to India.
American companies based in India offer the best opportunities for data scientists. These include semiconductor companies like Micron Technology, tech giants like Google and Microsoft, and GCCs (Global Capability Centers) of major corporations. These companies offer better work-life balance compared to Indian companies. Hyderabad and Bangalore are the top cities for data science jobs in India.
Yes, pivoting from mechanical engineering to data science is possible with the right education. Operations Research is a good bridge field that combines engineering optimization with statistical techniques. A Masters in Operations Research or Data Science from a US university can help make this transition. Key skills include statistics, machine learning, Python/R programming, and domain expertise in areas like catastrophe modeling or healthcare analytics.
Catastrophe modeling involves building complex models to approximate weather disasters like hurricanes and tornadoes. Data scientists use statistical measures like the EM algorithm and copulas (T copula, normal copula) to forecast where disasters will strike and predict dollar value of damage. The process involves analyzing 50-60 years of historical data, simulating thousands of years of scenarios, and using AI/smoothing techniques to ensure patterns follow historical data.
Yes, working for American companies based in India is highly recommended for returning NRIs. Benefits include: better work-life balance compared to Indian companies, familiar work culture, competitive salaries, and opportunities in growing sectors like semiconductor manufacturing. Companies like Micron, Intel, Google, Microsoft, and various GCCs offer excellent opportunities for experienced professionals.
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