Haste makes waste. Diving into a data science problem may not be the fastest route to getting it done.
Crocker's Law, cognitive dissonance, and how to receive (uncomfortable) feedback better.
What I Learnt about evaluating ideas from first-hand participation in a hackathon.
Why you should give a talk and some tips from five years of speaking and hosting meet-ups.
12 Apr 2020  ·  5 min  ·  [ career ]
Should I join a start-up? Which offer should I accept? A simple metaphor to guide your decisions.
How hard work, many failures, and a bit of luck got me into the field and up the ladder.
No, you don't need a PhD or 10+ years of experience.
What's the difference between a data scientist, data engineer, and ML engineer? A panel at Google.
What is data science, how to pick it up, and how to enter the field? A discussion with SMU undergrads.
Sharing about why data science, data science myths, a typical day, and more with TIA.
Tools and skills to pick up and how to practice them. An Invited Talk with Masters in IT candidates.
Tools and skills to pick up, and how to practice them.