Igor Elbert
Data Analytics And AI
New York City Metropolitan Area United States
Summary
👤
Senior🎓
Top SchoolIgor Elbert is a seasoned data science and analytics leader with 11+ years of experience building high-impact teams and production AI capabilities across e-commerce, advertising, and enterprise SaaS. He has led R&D and BI at CB Insights, served as Chief Data Scientist at Finery (acquired by Stitch Fix), and currently heads Data Analytics and AI at TLScontact while advising DataGenie. Igor combines hands-on technical expertise—NLP, AutoML, device graph improvements and AI-driven product systems—with a strong track record of turning ideas into profitable ventures, having co-founded a self-funded company that reached >$1M pre-tax profit in its first year. Comfortable bridging research and execution, he often translates novel methods into operational products like recommendation and styling systems, fraud/bot detection, and analytics platforms. He holds advanced training in computer science and applied mathematics from top Ukrainian institutions and brings a practical, systems-focused mindset honed since early software engineering and quantitative roles on Wall Street. Notably, he has repeatedly championed productivity-boosting tooling and Data-Science-as-a-Product approaches that accelerate teams’ delivery of measurable business value.
11 years of coding experience
18 years of employment as a software developer
PhD (ABD) Computer Science, PhD (ABD) Computer Science at Kiev Institute for Cybernetics AspirantureMSc Applied Mathematics, MSc Applied Mathematics at Ukraine National University
Stackoverflow
31reputation
0reached
0answers
0questions
Github Skills (26)
dataflow9
portable9
gbm9
xgboost9
java9
gradient9
machine-learning9
distributed-systems9
boosting9
scalable9
python8
dask8
scala8
gradient-boosting8
spark8
Programming languages (3)
Github contributions (5)
ielbert/GoogleTrendsScaled
May 2015 - Feb 2016
Contributions:4 commits, 3 pushes, 1 branch in 8 months
dmlc/xgboost
Mar 2016 - Sep 2016
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
Contributions:2 comments, 1 issue in 6 months
xgboostpythonflinkdaskdataflow
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