Yegor Tkachenko
Adjunct Assistant Professor Of Business at Columbia Business School
New York, New York, United States
Summary
👤
Senior🎓
Top SchoolYegor Tkachenko is an applied machine learning researcher and educator with 11 years of experience bridging academic research and industry analytics. As an Adjunct Assistant Professor at Columbia Business School, he teaches Python for Data Science and completed a Ph.D. in Computational Marketing focused on machine learning methods for efficient, ethical use of personal data. His background includes deep reinforcement learning research at Stanford and marketing analytics roles at BlackRock, giving him a rare combination of rigorous ML expertise and practical marketing measurement experience. Based in New York, he blends theoretical work with hands-on pedagogy and industry applications, and his dissertation work signals a particular interest in algorithms that balance performance with privacy-aware decision making.
11 years of coding experience
1 year of employment as a software developer
Bachelor's, International Business, Bachelor's, International Business at Kyiv National Taras Shevchenko University, Institute of International RelationsMaster of Science (MS), Marketing Science, Master of Science (MS), Marketing Science at Columbia Business SchoolDoctor of Philosophy (Ph.D.), Business, Computational Marketing, Doctor of Philosophy (Ph.D.), Business, Computational Marketing at Columbia University in the City of New YorkMaster of Science (MS), Management Science and Engineering (MS&E), Operations Research, Master of Science (MS), Management Science and Engineering (MS&E), Operations Research at Stanford University
English, Russian, Ukrainian
Github Skills (21)
jupyter-notebook8
jupyter7
chainer7
notebook7
cuda6
cudnn6
jupyterlab6
python6
gpu5
deep-learning5
machine-learning5
simulation5
caffe4
neural-network4
marketing4
Programming languages (3)
Github contributions (5)
yegortk/yegortk.github.io
Apr 2015 - Mar 2023
Contributions:166 commits, 297 pushes, 1 branch in 7 years 11 months
computationalmarketing/facialanalysis
Jun 2020 - Jan 2024
Contributions:7 pushes in 3 years 8 months
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