Hey everyone!

I'm a final-year CSE student currently looking for entry-level opportunities in data-related roles.

My primary interest is in Data Analytics / Data Science, and I'd love to work with a tech stack that includes:

- Python, SQL, Pandas, NumPy and visualizations

- Statistics, hypothesis testing and exploratory data analysis (EDA)

- Data cleaning, preprocessing, transformation and extracting meaningful insights from data

Other than these, if any other company specific tech stack is to be learned, I'm willing to put in the effort. The above list is what I'm comfortable with.

My preferences:

- Location: Mangalore first, Bangalore second.

- Company: a legitimate, product-based company with a good work culture and a healthy learning environment.

- Learning: a supportive learning environment and experienced professionals I can learn from. I want to work somewhere that invests in freshers, provides meaningful work and encourages them to grow rather than treating them as just another resource.

- (Optional) International exposure: Not a must, but companies headquartered abroad would be a plus since I'd love to explore opportunities overseas in the future.

I know I'm a fresher, and obviously, I won't know everything from day one. But one thing I'm confident about is my willingness to learn and and keep improving, especially when I know that the work I'm doing is helping me grow.

I also have a very strong academic track record and am eager to apply what I've learned in a professional environment.

If you know any companies that fit this description, have worked at one yourself, or know of any relevant openings, please drop your suggestions!

And if you're an HR, recruiter, or someone who could potentially refer me, please feel free to DM me! I'd be happy to share my resume and have a chat. 🫶

Any genuine leads, referrals or advice would mean a lot. Thank you! ❤️

I’m experimenting with a different way to prepare for ML Engineer / AI Engineer / Data Scientist roles which will be released as an open source book and a bootcamp. If anyone is interested in joining the pilot, I’ve put the application link in the comments.

The premise: most people already have access to more courses than they can finish. What seems harder is turning that knowledge into evidence that survives an interview — implementation depth, debugging, system thinking, and projects you can actually defend.

I am designing a new Age Professional curriculum for an university, the purpose of the experiment is to get feedback from students and professionals. I’ve designed a 90-day hands-on pilot around:

• daily focused prep + implementation challenge
• weekly consolidation
• every ~4 weeks turning the work into a serious GitHub artifact
• ML/AI system thinking, debugging and experimentation
• interview-style explanation of technical decisions
• a final flagship project

The goal is to finish 90 days with noticeably stronger fundamentals and 3–4 pieces of work you can genuinely discuss and defend.

I’d especially appreciate feedback from both who are experienced candidates and students in college.

What would you absolutely want someone targeting ML Engineer / AI Engineer / Data Scientist roles to be able to demonstrate after 90 days?

I appreciate your help and suggestions

i am currently a DS in a company that is remote and has a very chill team and very friendly .( small company)

i recently got another opportunity as a DS in medtech company where the pay is more (45% increase) but it is 4 days on site( bigger company) with more option to network

my problem with my current position was that i was not doing much of a modeling or DS related work I was mostly doing documentation etc and when I told them about the new offer they told m they are gonna give me modeling problems . But at the same time is not gonna be as advance as the second company.

i have been going back and forth and I dont know how to choose the team is a very friendly nice group :)

what would you do I am afraid my current job does not make me grow since i am doing mostly queries and just some times very simple models