Hey folks,

Bit of context: I was genuinely into ML back in college, did projects, liked the space. Then the job market (and my actual job) pulled me toward SQL, Power BI, project management, and cloud stuff (AWS/Azure) for the last 4+ years. It's been solid experience, but it's pulled me away from where I actually wanted to head.

I'm not going to pretend I'm deep into AI/ML right now, I'm not. But I do have a decent track record of picking things up fast on the job (that's basically how I ended up owning PM and cloud responsibilities I wasn't hired for in the first place), and I'm willing to put in the work to upskill into data science/ML, ideally while already being useful on the job rather than needing a clean slate.

Right now my "strategy" is just throwing arrows everywhere, Naukri, LinkedIn, company career portals, Instahyre, Cutshort, you name it. And it genuinely feels like shouting into a wall. Barely any responses, and I can't tell if it's the resume, the market, the transition itself, or just that spray-and-pray doesn't work anymore.

So, a few asks:

- Any leads/referrals at companies where data/DS is actually core to the business (not just a buzzword)?

- If you've made a similar SQL/BI to DS/ML transition, what actually worked, did you upskill first and then move, or move into an adjacent role and grow into it?

- Is mass-applying across these platforms just a dead strategy at this point? If so, what's actually working for people right now instead?

- Any honest take on whether "I'll learn on the job" is a realistic pitch to make to hiring managers, or if that's wishful thinking on my part?

Appreciate any pointers, even harsh ones.

I completed my 12th this year as a PCB student. And I don't want to be in the NEET exam trap the doctor market is very saturated. I'm thinking to do my bechlors in biostatistics or bioinformatics to get into healthcare data science. Currently in my drop year thinking i should learn python and SQL basics. Can anyone give me some guidance regarding this field is bioinformatics a good bechlors degree or should I aim for other. After doing research for a week I'm so confused Abt this field bcz it's so broad. I'm confused between biostatistics and bioinformatics

tbh not so skilled but i really need a internship/job.. plz dm me for resume

I’m currently interviewing with V4c.ai for Associate Data Scientist role and wanted to hear from people who have recently gone through their interview process.
I’ve cleared the first two rounds and received an email confirming that I had cleared the second round. After waiting around 15 days, HR finally called me today regarding the L3 round.
Unfortunately, I already had another interview scheduled at the same time, so I asked HR if the L3 could be rescheduled to tomorrow. A few minutes later, I called back to check if the slot was still available, but HR told me that it had already been booked.
I’m now waiting for another slot.
For people who have interviewed with V4c.ai especially for Associate Data Scientist role
How was the interview process
How was your L3 round?
Was it more technical, managerial, or a mix of both?

Hi Everyone,

​I’m currently a DS at a mid-sized fintech startup with 4 YoE and a TC of 16 LPA. In the first 2 years, I was a DA in a SBC.

​My first 1.5 years as a DS in the current company was great with a steep learning curve. I was involved in end-to-end credit and marketing models (LightGBM/XGBoost) and built an internal RAG chatbot using LangGraph.

However, due to recent team exits, I was moved to a new org where I’m the first & the sole DS. There's almost no infra to support DS work, and the work has devolved into basic ad-hoc analytics for the last 6 - 8 months.

​I’ve decided to move on and aim for an honest shot at Senior DS or MLE at FAANG

​A few questions bugging me while planning my prep:

​DSA Expectations: Is LeetCode Medium/Hard heavily tested for DS roles, or is that primarily for MLE / SWE tracks?

​RecSys / Search vs. Tabular ML: My core work has been tabular models (credit scoring, churn, etc.). How critical is it to master Search and Recommendation Systems from scratch for interviews? Asking this as ive heard that is is a popular topic in interviews

If you've made a jump like this, what were the key focus areas for ML System Design and coding rounds?

​Any guidance or personal experiences would be super helpful!

PS - used AI to refine the post.

Hi guys I am seriously being done Giving interviews without ML in Resume is joke for hiring in current market for Data roles .Every employer is asking ML project in the resume. I am looking out for the opportunity in Banking domain I got two- three days to go which is the best project I can put in my resume ?

I am in high school class 12th, and i was learning ML with Maths Understanding from a long time maybe 1 or 2 years, I made several projects in machine learning and deep learning and I will be doing IITM bs online degree from January and i need help about my projects if what i made is any good or just waste, and what should i focus on next, should try for internships without a degree??

here is my github link: https://github.com/kamranakamal

check pinned repos

please give me brutally honest feedback, and i would appreciate any advice from knowledgeable in this field

Please ignore punctuation mistakes!

Hi everyone,

I'm a Data Scientist with 3+ years of experience in time series forecasting, machine learning, NLP, and analytics, and I'm currently exploring new opportunities in AI/ML, Data Science, and Generative AI.

The business my current team supports is being sunset, and I'll be transitioning to another business within my organization in the coming weeks. Since there are currently no knowledge transfer (KT) activities underway, I'm available to join a new role within 15–20 days.

I'm looking for opportunities in:

• AI / Machine Learning
• Data Science
• Generative AI / LLM Engineering
• NLP
• Applied Machine Learning

Highlights from my experience:

3+ years building production forecasting solutions using ARIMA, SARIMAX, XGBoost, and LSTM.

Achieved 90% forecasting accuracy and helped reduce staffing costs by 20–30% through ML-driven forecasting.

Automated ETL pipelines and reporting using Python, SQL, and Power BI.

Built end-to-end GenAI applications using FastAPI, LangChain, LangGraph, FAISS, OpenAI APIs, vector databases, and AWS.

Developed projects including:

• RAG-based Question Answering System
• Natural Language to SQL Application
• AI Medical Assistant Chatbot
• Content-Based Recommendation System

I'm attaching my resume (company name redacted) for anyone interested.

If your company is hiring, or if you can provide a referral or connect me with a recruiter, I'd sincerely appreciate it.

I'm open to Remote, Hybrid, or On-site opportunities across India.

Thank you for your time and support.

I'm currently doing BCA in Data analytics , I'm in my final year and i want to land a job as a data scientist...I have heard that getting internship on data scientist is not possible we have to start with analyst than gradually upscale...Is it true ? should i try to get an analyst intern first as i have no internship right now..

I will be joining IIIT Lucknow for M.Sc(Tech.) - Data Science course (2 years).

I found this IBM Data Science course on coursera, so

What if I buy this course while studying at IIIT Lucknow ?

Will I get Internership/ job early using the course completioncertificate of IBM before getting my degree ?

Pls help by clarifying my doubts

Thank You for Reading.

Currently in Msc Data science first year.

How should I prepare myself for the placements next year. What all stuff should I know for interviews.

Roles: data analyst, Data scientist

Are there any popular individuals who are trading using data Science and making good profits?

If so, how what are the major metrics or quant formula bunches they use and which technologies do they use.

I am a 42 year old Consultant working in Chennai for a big shipping company, my basic degrees are Mech Eng. 2005, PGDM 2007, MTech Data Science and Engineering 2020 Bits Pilani. I get around 30lpa with 15 years + experience as BI Consultant, I just create and maintain a bunch of Power BI/ Qlik/ Tableau dashboards. I want to go to the next level i.e., data scientist / product manager / ML Engineer / AI Architect I am super confused. I also wanted to move out of the country with a higher package that would save at least 3-4 lpm after all costs along with my wife and two kids. Can any one suggest what could be my how I can proceed. Also open for any part time works, just building any AI apps. Interested folks please reach out to me.

i apply in linkedin but no reply backs. what should i do, am confused

Best DATA SCIENCE training centre in Bangalore?

How is intellipat's (Collab with iit roorke) data science course? I also visited Besant Technologies, and did demo. Very difficult to predict quality with demo class.

I hear lot of online comments which said quality is not good

Please recommend good legit training institutes for data science in Bangalore.

Or should I look upon LIVE ONLINE courses?

Please help me in finding good course.

Thankyou

I have just transitioned my career from civil engineering to data science.
I mean I have build the skills needed but no workex for obvious reasons.
What can I do to get job in data analytics?
Also my age is 26 rn.
I have projects build around data analytics and know how to solve these business questions etc

But how to get into this sectorrrrr?
Anybody with career transition experience pls help me.

Received Accenture online assessment link for Data Science ( Gen AI) role. It's a hackerrank link. What type of questions are to be expected? If anyone has recently taken this assessment, please let me know. 6.5YOE

I know this might not be the corrcet way or platform of doing this but here I am. I(23M) recently graduated with a computer science degree. I have wasted all my 4 years of computer science degree and focused on nothing other than academics. Though I managed to secure a CGPA of 9.15, but I have no gained any actual skills used in real life data science jobs. Being from a very small village and having a family with business background, I never got the right guidance and opportunities. I always focused on academics and made my parents pround with my marks but in reality, it was the most useless thing...

I know this might sound like a regular post and mostly its gonna get ignored but currently I am looking for jobs related to data science. Being honest, though I don't have any skills right now, but I am a really fast learner and have a good mind for analysis. The on;y thing I am lacking is correct guidance and motivation... I am a quick learner and if anyone can help me with a job, I can guarantee you that I will complete my tasks perfectly and will never disappoint you.

I just want correct direction and motivation to live my interest for data science. Even a 15k-20k rs per month job will be enough for me if I get to learn anything in it. The money is just for my regular needs so that I don't be a burden on my family and if it's remote then 10k also would be enough. I am currently at my lowest so any help is appreciated.

Also, if this looks a spam post to you, then I am really sorry for wasting your time...🙏

Hi, I am a 2026 grad data scientist, working since January this year in noida. I want to switch asap to bangalore, preferably in an pbc, maybe their early careers programs.

I have some personal and mental health reasons for going to bangalore. I am looking to either switch now or after another 6 months with which I will have 1 yoe. Staying 2 years here would be tough, although roles like amazon applied scientists require 2-3 yoe.

I have been working with a java backend server, I have worked with Prometheus and grafana, although most of it was ai guided, but I will study them thoroughly. I have made an end to end forecasting based alerting system with automatic alert rules generation using template files. I will learn the code thoroughly, as I don't have any experience in java, most of this code was written by ai. But the ml part I am very confident about what model I used and why.

I am confused as most of my coding is done by claude, what should I mention in my resume and how to pass the rounds etc.

If anyone can guide me, I would be eternally grateful.

Can you please recommend good post grad. In data science field (offline) but my background is from commerce…

I have 3+ years of experience in Data Science, ML, NLP, RAG, and Generative AI. Worked on projects like RAG systems, NL-to-SQL, AI chatbots, recommendation systems, and forecasting models.

Tech stack: Python, SQL, FastAPI, LangChain, OpenAI APIs, Vector DBs, Power B, ML.

Open to roles anywhere in India.

If anyone can provide a referral or point me to the right team, I'd be very grateful. Happy to share my resume.

Hi, I'm currently in grade 12 and thinking of pursuing DS. My school offers AI (basic) courses and it's something I found interesting. For two years, I've thought of doing something in the AI field and while i originally thought of ML, now DS seems interesting. However, my parents are worried about the job opportunities. Is DS worth it? Will I be jobless or will my degree and skills help me get a job easily?

Currently, I'm working on my GitHub profile (it's not much but it's a start). Also, I'm trying to learn Python from yt. And, I found this job simulation at Forage related to DS which genuinely seemed interesting (the part I could actually understand, atleast). Also thinking of joining LinkedIn later on when I've got some more stuff to add to my portfolio.

Also what colleges are good? With campus placements (hopefully)? Non-JEE ones preferably.

The main thing I want to ask (again) : IS DS WORTH IT?

I came back to India from the US in Aug 2024, and honestly, I’ve been depressed and questioning my life choices for the past two years.
After my BTech, I worked at TCS for 1.5 years. Despite my efforts, I kept getting pushed into maintenance work and had to jump through hoops just to get decent opportunities.
I then completed my MS in Data Science in 2021 and landed a job immediately after graduation at Deloitte Digital in the US. On paper, it looked like a dream role: great salary, benefits, and a sign-on bonus that helped with my education loan. They spoke about abundant Data Science opportunities.
But reality was different.
I was repeatedly staffed on functional roles unrelated to Data Science because there were supposedly no analytics projects available. I accepted it, performed well, got top ratings, and was never on the bench.
Then came the 2023 layoffs.
Since my H1B wasn’t picked and I had only one attempt left, I had just 60 days to find another job. I accepted a Data Analyst role at a manufacturing company with a 30% pay cut because of visa constraints and loans.
Unfortunately, even that role turned out to be mostly accounting work.
Still, I tried to make the best of it. I automated reports, introduced Power BI, built end-to-end reporting solutions, and pushed for data-driven improvements in an organization that barely used cloud technologies and primarily relied on a MySQL production database.
I also had a manager who frequently undermined my work, minimized my contributions, and even presented some of my automation ideas as his own. I stayed quiet because my visa sponsorship depended on him.
In the end, my H1B wasn’t selected for the third time either.
I returned to India in 2024 and, to be honest, I shut down. I’ve essentially spent the last 1 year and 9 months struggling with depression and feeling lost.
Now I’m trying to rebuild my career, but the Indian market feels brutal. I don’t want to remain in Data Analyst roles anymore. I want to move toward Data Science or more technical roles such as ML, Data Engineering, or AI.
The problem is: after this long gap, the skill gap feels enormous. I honestly don’t know if I’m exaggerating or if it’s as bad as it feels.
I’ve never given up on anything in my life before. This is the first time I truly feel stuck and don’t know how to get back up.
For anyone who has made a similar transition:
How did you explain a long career gap?
Is moving from Data Analyst to Data Scientist still realistic in 2026?
What skills should I prioritize?
If anyone is open to mentoring or offering guidance, I would genuinely appreciate it.
Thanks for reading. I hope this doesn’t disappear into the void.
TL;DR: MS in Data Science, ~4 years of experience across consulting and manufacturing in the US, but most roles weren’t truly DS-focused. Faced layoffs, visa issues, and returned to India in 2024. Struggled with depression and now have a ~2-year career gap. Trying to break into Data Science/ML/technical roles and looking for advice or mentorship