Located
in Goleta,
California

Data Science
& Quant Research

Chitigh Poudel

Turning market data into tested, measurable strategies. Statistics, clean code and a trader's intuition, together.

B.S. Data Science & Statistics at UC Santa Barbara. I build research tooling from scratch: indicators, backtests, risk metrics and ML signals.

About me

Recent work

More on GitHub ↗

What I do

01

Research

Quantitative strategy research across equities and crypto (BTC, ETH). Hypotheses tested with rolling Sharpe, max drawdown and volatility across different market regimes.

02

Model

Predictive signal generation with Scikit-learn and LightGBM on top of a from-scratch feature library, grounded in probability theory and mathematical statistics.

03

Build

Production-minded tooling: Alpaca paper-trading execution, real-time monitoring with a 24/7 watchdog, and full-stack web apps on Supabase and Netlify.

Education

  • University of California, Santa Barbara

    B.S. Data Science & Statistics

    Expected 2027

  • Cerritos College

    A.A. Mathematics, Data Science & Statistics · GPA 3.7

    2025

Toolkit

Languages
Python, SQL, C++ (OOP), R, HTML, CSS, JavaScript
Data & ML
Pandas, NumPy, Scikit-learn, LightGBM, backtesting pipelines
Finance
Alpaca API, strategy research, Sharpe, drawdown, volatility
Platforms
Supabase, Netlify, Git / GitHub
20+indicators built from scratch
24/7paper-trading uptime with watchdog
BTC · ETHcrypto markets research
Sharperolling risk-adjusted evaluation
LightGBMgradient-boosted signal models
SQLstructured market-data pipelines
Max DDdrawdown-aware backtests
Full-stackSupabase auth + cloud sync