Ganga Meghanath
Data Scientist @ Microsoft
Biography
I am a Data Scientist at Microsoft, where I leverage my expertise to unravel the causal impact of features on end users’ experiences. My work in the Experimentation For Windows (EFW) team focuses on Causal Discovery, a sophisticated blend of statistics and machine learning that uncovers cause-and-effect relationships from observational data. Previously as a Data & Applied Scientist at Microsoft BingAds, I developed machine learning pipelines for the detection, rejection and removal of adversarial attacks on multi-media advertising such as Product and Text Ads that violates Microsoft's Editorial Policies or poses risks from Fraud, Account Compromise and Spoofing.
Academic Research : As a Gruaduate Research Assistant with Prof. Joseph Makin, I developed machine learning models to infer neural population dynamics in multi-unit cortical recordings from macaques performing motor-control tasks. I also explored Speech Decoding using machine learning from Electrocorticography (ECoG) Cortical Activity in humans.
Teaching : As a Graduate Teaching Assistant at Purdue, I guided students through the intricacies of Python programming in practical lab sessions.
Interests
- Causal Discovery/Inference
- Machine Learning
- Natural Language Processing
- Computer Vision
- Reinforcement Learning
- Game Theory
- Robotics
Education
-
M.S. in Electrical & Computer Engineering
Purdue University, West Lafayette
-
B.Tech in Electrical Engineering (Minor in Data Science)
Indian Institute of Technology, Madras
-
AISSCE, CBSE (XII)
Chinmaya Vidyalaya, Vaduhala
-
AISEE, CBSE (X)
Talent Public School, Njarakkal