Breaking into Data Science/Data Analytics

Thinking of switching or starting career into data science but not sure where to start? I’ve been there myself. I began my career in hardware engineering at an MNC, but quickly realized my passion lay in solving problems with data. With focused upskilling, hands-on projects, and strategic career moves, I transitioned into data science and within a year, was promoted to Senior Data Scientist.

In this session, I’ll share:

• Skills to learn (step by step): programming, statistics, ML, GenAI, and how to prioritize them.
• How to build a roadmap tailored to your background (so you don’t waste time learning everything).
• Project ideas and portfolio tips that actually catch recruiters’ attention.
• Career transition strategies: how to highlight transferable skills, network effectively, and land interviews.

Whether you’re coming from hardware, IT, consulting, or a non-tech or even fresher background, this call will give you some clarity on how to break into data science the smart way.

The nominal charge is simply to ensure I’m speaking with people who are genuinely interested in making the most of our time together.