Summary
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.
9 years of coding experience
7 years of employment as a software developer
GCE, GCE at HELP University
M.Eng, M.Eng at Imperial College London
Tamil, Malay, English