About Me
Harman Birring
I'm Harman Birring — a Medical Laboratory Scientist and MSBA candidate at Seattle University's Albers School of Business and Economics. I work at the intersection of healthcare, data, and quantitative finance, building machine learning, statistical, and econometric models in Python, R, and SQL.
Credentials
- MSBA candidate, Albers School of Business and Economics, Seattle University
- Medical Laboratory Scientist, Valley Medical Center
- Tools: Python, R, SQL, scikit-learn, pandas, Streamlit, ggplot2
- Focus areas: machine learning, applied econometrics, quantitative and equity research
Models & projects I've built
Group 1
Healthcare & Data Science
Diabetes Risk Analysis
An exploratory data analysis and data-storytelling project on the BRFSS health-indicators dataset (clinical, lifestyle, and socioeconomic features across a three-class outcome), built in R/ggplot2 to guide public-health screening and prevention decisions.
Group 2
Quantitative Finance & Investing
S&P 500 Direction Prediction
A supervised classification study comparing Logistic Regression and Random Forest models to forecast next-day market direction, with mutual-information feature selection, PCA, time-series cross-validation, and statistical significance testing.
Multi-Factor Investment Scoring Model
A pipeline that blends technical indicators, news sentiment, insider activity, and association-rule mining into a composite investment score.
Portfolio Diversification Model
A model that pulls 10-K fundamentals from SEC EDGAR, computes financial-health ratios into a normalized health score, applies Apriori rule mining, and includes a COVID event study with t-tests.
Systematic Strategy Backtester
An RSI mean-reversion screener and backtesting engine across the S&P 500 universe, accounting for slippage, position sizing, and risk limits.
Best-Subset Hedging Model
An OLS-based model that identifies the smallest subset of commodity and FX risk factors needed to replicate a target basket, validated with a train/test backtest.
Quant Market Dashboard
A deployed Streamlit + Supabase web app for live market data and analytics.
Macro Market Dashboard
A Python dashboard tracking macroeconomic indicators for market context.
Group 3
Econometrics & Statistical Modeling
Wage-Determinants Econometric Study
Multiple OLS regression models on census microdata with log-linear specification, heteroskedasticity-robust standard errors, and interaction terms.
Seattle Housing Value Study
A regression and exploratory-data-analysis project modeling Seattle home values, including handling of missing data and unusual observations.
CAPM / Beta Regressions
Equity-versus-market regression models estimating beta and analyzing risk-return relationships.