quant research notebook

Ansh Dani

Incoming UChicago MSFM, trading concentration. CS and Math, ASU. I build Bayesian filters, volatility models, and prediction market tools.

incomingUChicago MSFM
graduatedASU CS and Math, 4.0
focusBayesian filters and market models

projects

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2026Python, NumPy, SciPy

Bayesian Market Filters

resultOut of sample Sharpe near 0.7 after fees.

the hard part was reporting the modest number after fixing the inflated one.

status: completeresult: out of samplescope: single asset and one pairconfidence: medium
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2026Python, Kalshi API, DuckDB, scikit learn, XGBoost

PRISM

result122 tests, 85% coverage, documented API limits.

the hard part was proving which historical data did not exist.

status: framework completetests: 122 passingcoverage: 85%confidence: high on engineering, documented data limits
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2025PyTorch, neural SDEs, rough volatility

Deep Hedging under Rough Volatility

resultResearch prototype with repo; no public performance number claimed.

the hard part was making path structure matter without overclaiming the metric.

status: research prototypeartifact: GitHub repoconfidence: medium
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2025PyMC, Bayesian inference, portfolio theory

Hierarchical Bayesian Portfolio Optimization

resultBayesian covariance prototype with repo; no universal return claim.

the hard part was watching the optimizer exploit covariance noise.

status: complete prototypemethod: NUTS and LKJ priorsconfidence: medium
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2025Python, algorithmic trading

IMC Prosperity 4

result#194 algo, top 1.4% of 18,800 teams.

the hard part was adapting strategy across rounds under sparse feedback.

status: completeartifact: public leaderboardrank: #194 algo
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Browser native analytical tools, preserved from the old site and led by the new Kalman filter demo.

experience

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Stochastic Time Series Modeling Intern

Endless Moments LLC

September 2025 to present

Built and evaluated stochastic time series models for prediction and diagnostics.

Pythontime seriesmodel diagnostics

CS and Math Tutor

Sun Devil Athletics

August 2025 to January 2026

Tutored undergraduates in calculus, algorithms, and proof oriented problem solving.

calculusalgorithmsteaching

Applied Statistics Research Intern

Morrison School of Agribusiness

June 2025 to September 2025

Worked on applied statistics for USDA grant data, including transformations and model checks for high variance economic series.

statistical inferencetime seriesR

AI Developer Intern

ONLC Training Centers

May 2025 to June 2025

Built AI assisted training and retrieval prototypes for course operations.

retrievalLangChainOpenAI APIs

contact

guest@notebook:~$ cat contact.json
{ "email": "anshdani04@gmail.com", "github": "github.com/AnshDani2004", "linkedin": "linkedin profile" }
guest@notebook:~$
Chicago based · quantitative research and trading.