Anver Khusainov
Quantitative Researcher
Amsterdam, North Holland, Netherlands
Summary
👤
Senior🎓
Top SchoolAnver Khusainov is a quantitative researcher with nine years of experience bridging data science, computer science, and applied mathematics to solve non-trivial problems in finance and product recommendation. Currently at Optiver, he applies rigorous modeling and experimental design skills developed through internships and research roles at Facebook and VK, where he improved ranking, NSFW detection, and engagement metrics. Educated at ITMO University (CS) and ETH Zürich (Data Science), he combines strong theoretical grounding with hands-on expertise in Python, PyTorch, Spark, and causal inference. Notably, he has a track record of shipping production-facing fixes—reducing false positives in classifiers and stabilizing labeling pipelines—while also advancing research methods like causal graph correction. Based in Amsterdam, he favors practical, metric-driven solutions that uncover subtle user-behavior signals often missed by standard approaches.
9 years of coding experience
1 year of employment as a software developer
Bachelor's degree, Computer Science, 4.9 out of 5.0, Bachelor's degree, Computer Science, 4.9 out of 5.0 at ITMO UniversityMaster's degree, Data Science, Master's degree, Data Science at ETH Zürich
Github Skills (16)
kotlin4
r-package4
graphical-models3
typescript3
dub3
hackage3
causal3
forge3
haskell2
causal-inference2
cran2
servant2
cabal2
python2
inference1
Programming languages (8)
Github contributions (5)
AnverK/deep-learning-project
Dec 2021 - Mar 2022
Contributions:26 commits, 6 pushes, 7 branches in 3 months
AnverK/VK_Graduation
Nov 2019 - Jan 2022
Contributions:50 commits, 18 pushes, 2 branches in 2 years 2 months
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