Work

Data Science & ML Consulting Projects

A selection of data science, machine learning, and analytics engagements across energy, e-commerce, quantitative finance, and government.

Consulting Work

machine-learning marketing

Direct Mail Optimization

Customer Acquisition · Top-of-Funnel

Built a machine learning algorithm to optimize direct mail customer acquisition campaigns, improving top-of-funnel performance through data-driven targeting and propensity scoring.

Berrystreet
data-engineering analytics

Data & Analytics Foundation

Infrastructure · Marketing · Operations · Product

Built the entire data and analytics stack from the ground up — BigQuery data warehouse, Metabase dashboards, and third-party integrations. Provided ongoing consulting across marketing, operations, and product.

Confidential
machine-learning quantitative-finance

Algorithmic Trading Strategy

Stealth Crypto Trading Firm

Developed a quantitative algorithmic trading strategy for a stealth-stage cryptocurrency trading firm, applying machine learning to identify and exploit market inefficiencies.

Research Collaboration
ai llm government

Government Contracting Evaluation Pipeline

Harvard PhD Collaboration · AI/LLM Scoring

Partnered with a Harvard PhD researcher to design and build an AI-powered evaluation pipeline for government contracting analysis, using LLM-based scoring to streamline complex procurement assessments at scale.

Startup Mentorship

Mentor for early-stage cleantech startups at the Cleantech Open national accelerator program, providing data science and analytics guidance. Built lasting mentorship relationships with several portfolio companies.

Portfolio

  • Incentivize Green ACQUIRED

    Aggregated government tax rebates and incentives for EVs and EV chargers to simplify electrification

  • NovaGrid

    Lead generation for green contracting

  • Zero

    Home energy retrofit decarbonization plans as a service

Mentored early-stage founders at Columbia University's Almaworks program, advising on data strategy, analytics infrastructure, and applying machine learning to early-stage business problems.