Mayank Kakodkar

Senior Applied Scientist at Amazon

New York, New York, United States
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Summary

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Senior
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Top School
Mayank Kakodkar is a Senior Applied Scientist with over a decade of ML experience, currently shaping Full Funnel Campaigns at Amazon Advertising by building optimization and recommender systems that extract product insights from petabyte-scale, unstructured data. He holds a PhD from Purdue where he worked on MCMC, GNNs, and subgraph/motif mining, and brings 5+ years of focused graph and deep learning expertise to production problems. Earlier he led engineering and research teams at Media.Net, shipping contextual engines and reinforcement-learning driven keyword intelligence at scale. Comfortable spanning research and product, he emphasizes explainability and clever supervision design while exploring AI tooling to accelerate data science workflows. Based in New York, he combines academic rigor with startup leadership and a track record of turning complex graph models into actionable advertising products.
code10 years of coding experience
job13 years of employment as a software developer
bookIndian Institute of Technology Delhi (IIT Delhi)
bookDoctor of Philosophy (Ph.D.), Computer Science, Doctor of Philosophy (Ph.D.), Computer Science at Purdue University
languagesEnglish
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Stackoverflow

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0questions
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Github Skills (36)

responsive10
php10
github-pages10
jekyll10
jekyll-theme10
version-control10
git9
gitignore9
python8
deep-learning8
gpu8
machine-learning8
apache-zeppelin6
neural-network6
sql6

Programming languages (7)

JuliaCSSShellJavaScriptHTMLJupyter NotebookPython

Github contributions (5)

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mkakodkar/RandomScripts

Mar 2017 - Jan 2019

Contributions:5 pushes, 1 branch in 1 year 11 months
PurdueMINDS/MCLV-RBM

Nov 2017 - Mar 2018

Contributions:8 commits, 7 pushes, 5 branches in 3 months
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Mayank Kakodkar - Senior Applied Scientist at Amazon