Ganga Meghanath
Applied Scientist II at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolGanga Meghanath is an applied scientist with nine years of experience building ML-driven solutions across industry and academia, currently leading causal analysis for experimentation in Windows before moving to Amazon as an Applied Scientist II. Her work spans computer vision, reinforcement learning, NLP and neuroscience—where she published on inferring population dynamics from macaque cortex and decoded speech from ECoG—bringing a rare blend of neural-data expertise to production causal discovery. At Microsoft she translated causal and experimental methods into scalable feature evaluation across Windows and Ads, and she has a track record of shipping deployed models from prototypes to product. Based in New York with degrees from Purdue and IIT Madras, she combines rigorous research instincts with pragmatic engineering, and is outgoing and eager to collaborate across diverse technical backgrounds.
9 years of coding experience
6 years of employment as a software developer
Indian Institute of Technology MadrasAISSCE XII Computer Science, AISSCE XII Computer Science at Chinmaya Vidyalaya , VaduthalaAISSE X, AISSE X at Talent Public SchoolMaster of Science - MS Electrical and Computer Engineering, Master of Science - MS Electrical and Computer Engineering at Purdue University
English, Malayalam, Hindi
Github Skills (14)
python9
machine-learning9
deep-learning8
tensorflow8
data-science7
neural-network7
ml5
deep-neural-networks5
meta4
ros4
rover3
r-package3
econometrics1
causal-inference1
Programming languages (3)
Github contributions (5)
GangaMegha/Applied-Programming-Lab
Apr 2017 - Apr 2021
Contributions:3 pushes, 1 branch in 4 years 1 month
GangaMegha/NLP
Apr 2019 - Mar 2021
Contributions:10 pushes, 1 branch in 1 year 11 months
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