Data Modeling Projects in New York

Data Modeling Projects in New YorkData Modeling Projects in New York

Cover image for Municipal finance forecasting analysis of

Municipal finance forecasting analysis of New York City revenues and expenditures through FY2029. I developed category-level forecasts using multiple methodologies, including linear extrapolation, economic indicators, compound annual growth rates, and historical averages, selected based on the behavior and underlying drivers of each budget line. The analysis incorporates income tax revenue, real estate tax revenue, federal and state aid, and expenditure categories, translating historical trends and external economic indicators into forward-looking budget projections. I also documented the assumptions and methodology behind each forecast to make the analysis transparent.

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Cover image for Automated equity portfolio analytics report

Automated equity portfolio analytics report — live performance vs SPY benchmark (Sharpe ratio, Beta, R-squared, annualized return, max drawdown). Macroeconomic environment section pulls directly from FRED: GDP, CPI, unemployment, Fed Funds rate, 10-year yield. All figures source-attributed with pull date. Built with Python — Yahoo Finance + FRED API, fully automated from data pull through PDF generation.

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Cover image for Queens Price Prediction: Random Forest Cut RMSE by $6.5K

Queens Price Prediction: Random Forest Cut RMSE by $6.5K

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Cover image for Independent financial modeling and valuation

Independent financial modeling and valuation case study for Dutch Bros. I built an integrated operating model with historical financials and forward projections, linking revenue growth, store expansion, operating costs, margins, EBITDA, net income, and EPS. The model includes detailed revenue and cost builds, quarterly and annual forecasts, scenario-driven assumptions, and valuation analysis, allowing key operating drivers to flow through to earnings and implied value.

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Cover image for Q2 2026 S&P 500 sector

Q2 2026 S&P 500 sector performance scoreboard — 11 GICS sectors ranked by quarterly return, YTD, 52-week return, annualized volatility, and momentum signal. Technology led Q2 at +45.5%, Utilities lagged at -5.2%. SPY benchmark included for comparison. Momentum classification (Bullish/Neutral/Bearish) based on 20-day vs 50-day MA crossover with price confirmation. Live data pulled from Yahoo Finance. Fully automated — Python handles the data pull, computation, ranking, and PDF generation.

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Cover image for E-Commerce Data Platform Rebuild

E-Commerce Data Platform Rebuild

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Cover image for Automated crypto portfolio intelligence report

Automated crypto portfolio intelligence report — 20 digital assets ranked by market cap, weight, and multi-timeframe return (24h, 7d, 30d). Includes executive summary with portfolio-level Sharpe ratio, weighted return, VaR at 95% confidence, and concentration risk flag. Live data pulled from CoinGecko API. Built with Python — fully automated from data pull through PDF generation.

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Cover image for Automated S&P 500 sector performance

Automated S&P 500 sector performance report — 11 GICS sectors ranked by Q2 return, YTD performance, 52-week return, annualized volatility, and momentum signal. Live data pulled from Yahoo Finance. Includes SPY benchmark comparison and Bullish/Neutral/Bearish momentum classification per sector. Delivered as a branded PDF on a quarterly cadence. Built entirely with Python — automated data pull, computation, and report generation. No manual inputs.

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