Analytics & data career session

Data is everywhere. Standing out in it requires more than knowing Python. In this session we'll cover:

→ The analytics career landscape - consulting vs in-house vs startup, what each actually looks like

→ Tools that hiring managers actually care about: Gen AI, Python, SQL, Power BI, Tableau and the ones that are overhyped

→ How to transition into analytics from a non-tech background (I've helped teams do this)

→ Building a portfolio that gets you interviews, what projects signal competence

→ Data roles in Singapore and UAE, what's in demand, what pays well

→ AI and analytics: how the field is shifting and where to position yourself

→ Real talk on the MSc Statistics path: what it opens up and what it doesn't

I have an MSc in Statistics from NUS, 6+ years using Python, SQL, Power BI, and other tools across healthcare, e-commerce, and consulting and I currently lead Strategy & Analytics at an AI startup in Dubai.

Come with: your current background, tools you know, and the type of role you're targeting.