Adi Kalidindi
Applied Scientist II at Amazon
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolAdi Kalidindi is an Applied Scientist II with nine years of experience applying data science to advertising and marketing problems at Amazon and earlier healthcare and research roles. Trained at Carnegie Mellon (MISM BI & Data Analytics) and with a robotics undergraduate background, Adi blends strong engineering instincts with statistical rigor to move models from experimentation into production. At Amazon he progressed through successive data scientist roles into applied science, focusing on scalable, impact-driven ML solutions in a fast-paced adtech environment. Prior experience across pharma communications and research labs gives him a knack for translating domain nuance into measurable product improvements. Based in New York, he pairs practical software engineering experience (internships at ISRO, CMU, and industry) with a bias for shipping reliable, production-ready analytics.
9 years of coding experience
7 years of employment as a software developer
MISM Business Intelligence & Data Analytics, MISM Business Intelligence & Data Analytics at Carnegie Mellon UniversityBachelor's degree Robotics & Automation, Bachelor's degree Robotics & Automation at PSG College of Technology
English, Hindi, Telugu, Tamil
Github Skills (13)
statistical-tests10
hypothesis-testing9
bayesian9
bayesian-statistics9
ab-testing8
marketing8
causal-inference7
data-science7
testing7
causality7
python6
machine-learning5
scikit-learn3
Programming languages (2)
Github contributions (5)
AdiVarma27/pyAB
Jun 2020 - Jul 2020
Python package for Bayesian & Frequentist A/B Testing
Contributions:1 release, 222 commits, 4 PRs in 29 days
bayesianpythontestingab-testingbayesian-statistics
AdiVarma27/AdiVarma27.github.io
Feb 2019 - Jul 2020
Contributions:1 PR, 206 pushes, 1 branch in 1 year 4 months
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