Chandan Nayak
Student
San Francisco, California, United States
Summary
Chandan Nayak is a seasoned data science professional with a rare cross-domain footing in finance and risk management. Currently a Senior Data Scientist at TELUS, he leverages financial markets experience—ranging from quantitative trading and derivatives risk to front-office project delivery—to build data-driven solutions in real-world settings. His prior roles span HSBC risk management, Deutsche Bank quantitative trading, and a hands-on data science internship with the California Department of Fish and Wildlife, underscoring his versatility across industries. He holds an MS in Data Science from the University of San Francisco and a B.Tech in Mechanical Engineering from IIT Bombay, grounding analytics in rigorous engineering training. Based in the San Francisco Bay Area, he combines deep mathematical acumen with practical product delivery and a track record of turning complex requirements into measurable impact. Notably, his finance-focused background informs a pragmatic, risk-aware approach to building robust data pipelines and predictive models.
6 years of coding experience
Github Skills (5)
quantitative7
risk-management7
python5
finance5
quantitative-finance3
Programming languages (1)
Github contributions (5)
nayakchandan/nayakchandan.github.io
Apr 2022 - May 2022
Contributions:22 pushes, 1 branch in 1 month
nayakchandan/msds631-finalproject
Jun 2022 - Jun 2022
Contributions:9 pushes, 1 branch in 1 day
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