Sithan K

Quantitative Researcher

Stony Stratford, England, United Kingdom
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Summary

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Senior
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Top School
Sithan K is a quantitative researcher at Millennium with nine years of experience applying machine learning, Bayesian methods and deep learning to investment and enterprise problems. Previously a senior ML scientist at AIG’s Investments AI and a senior data scientist at BCG/BCG GAMMA, he combines production-ready Python engineering (poetry, conda, black, pytest) with heavy-data tooling (pandas, PySpark) and probabilistic modeling (PyMC3). His background includes a PhD and research roles at Imperial College London and a summer quant role at Balyasny, giving him a strong mix of academic rigor and trading-room pragmatism. Sithan’s stack and career show he’s comfortable moving models from research into robust, tested production pipelines for finance and consulting clients.
code9 years of coding experience
job7 years of employment as a software developer
bookGCE, GCE at HELP University
bookM.Eng, M.Eng at Imperial College London
languagesTamil, Malay, English
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Github Skills (48)

onenote9
outlook9
microsoft-teams8
microsoft-graph8
sharepoint8
simulation8
data-generation8
mathematica8
office3657
statistics7
python7
hyperparameter-tuning7
nlp6
natural-language-processing6
machine-learning6

Programming languages (2)

Jupyter NotebookPython

Github contributions (5)

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sithankanna/ML

Jan 2017 - Dec 2020

Contributions:24 pushes, 1 branch in 3 years 11 months
Contributions:1 release, 17 commits, 16 pushes in 1 month
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