Gatha Varma
Hello there! I am currently working as a Senior Data Scientist at Censius Inc.
My typical day at work involves:
✦ Research, prototyping and discussions on product features
✦ Product roadmap documentation
✦ Review media content and resources
✦ Pre-sales pitches
I will be defending my Ph.D. thesis soon 🤞🏼
Specialising in data privacy, my Ph.D. work dabbled with differential privacy and synthetic data.
I'm a mediocre runner who's a mom to two rescued dogs and one non-rescued human.
Sessions
A shift is a poetic word for uncertainty. Winds shift, rivers and sands drift, and people change. Coming to the not-so-poetic world of data science, what about the data? Data comes from systems and people using them, so it is natural that data too will see the rigors of shift too. A model that was trained and tested for particular dynamics may assume the expected uncertainty in the data such as a shift in the user behavior. But what happens when the shift goes beyond expectations? How do teams detect the different types of data drift? More so, how do they tackle the detected drift? In this talk, I will gently introduce you to data drift and how the industry tackles this issue.