Your Data Career Roadmap - From Zero to Job-Ready

Data Engineer? Data Scientist? ML Engineer? Analyst? The data field has never had more options, and that's exactly what makes it so confusing to break into.

I've navigated this maze myself, from an engineering background to Accenture, through a US Master's in Data Science, months of job searching, building real projects, cracking interviews, and landing a Data Engineer role at a top firm. I've explored nearly every corner of the data world so you don't have to figure it out alone.

In this session, we can cover:

1. Data Engineer vs Data Scientist vs ML Engineer, which path fits you
2. What skills to learn first, second, and what to ignore completely
3. How to build a portfolio that actually gets you shortlisted
4. SQL, Python, cloud, what level do you really need?
5. Free vs paid resources, what's worth your time and money
6. How long will it realistically take to land your first data role
7. Resume building for freshers and career switchers
8. What hiring managers actually look for in entry-level data candidates