Projects

A collection of data science and machine learning projects showcasing my work in analytics, AI, and quantitative research.

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DiegoAI - Email Automation AI

AI tool for brokers that ranks shippers by on-time delivery with automated email outreach and prospect filtering.

Key Results

•Integrated Gemini API (2.5-pro) with PDF parsing for business data extraction
•60% reduction in manual work, producing 1,000+ company target list
•2,500+ clients across 15+ industries with 95% accuracy

Role: AI/ML Engineer

CivicOps-311: SLA Risk Prediction

City 311 analytics: warehouse + features + SLA-breach prediction with a simple scoring service.

DataMLSWEPython+1

Key Results

•5,000+ tickets ingested & analyzed
•ROC-AUC 0.703; 36% recall on 4,714 closed tickets
•3 FastAPI scoring endpoints with Swagger docs

Role: Data/ML Engineer

Alpha Signal Development

Research and backtesting of three equity alpha signals with risk neutralization.

QuantDataPython

Key Results

•12.5% annualized returns
•Sharpe 2.1
•8% lower drawdown; 40% lower turnover

Role: Quant Researcher

Smart Schedule Planner

Predictive task planner with from-scratch linear regression and probabilistic outputs.

Key Results

•92% accuracy on 500+ simulated tasks
•35% lower prediction error vs baseline
•40% faster iteration cycles via modular architecture