Use data to find and close more profitable residential HVAC jobs:- Marketing - target homeowners with the most to gain from upgrading- Savings estimator - calculate heat load and expected savings using a past utility bill- Rebate ops - instantly stack manufacturer, utility and federal rebates in your quotes

I accelerate growth with data, at a fraction of the cost of a full data team:• Find leads when they are ready to buy• Optimize pricing• Reduce cloud costs while increasing data reliability

• Launched YipitData's fastest-growing new vertical• Interviewed users to identify competitor gaps and built the MVP with SQL and Google Sheets• Built trust on prospect calls by highlighting our weaknesses alongside strengths, building a warm pipeline of a dozen top retailers and brands• Collaborated with sales on outreach and discovery to close our first deal, structured for a clear path to $1M+ ARR

• Led an Investor team which exceeded growth targets for three years, expanding ARR from $3M to $18M• Managed and developed a 10-person data analyst team, with three advancing to lead their own sectors• Enhanced team morale and efficiency by cutting report length 70% and automating error-prone steps, a strategy adopted across other teams• Developed 12+ data products predicting public company KPIs within 2%, incorporating numerous licensed datasets, and guided by daily talks with clients and prospects

• Owned the MercadoLibre data product, predicting the company’s performance via web-scraping (Python), big-data ETL (postgreSQL and Airflow), and rigorous QA• Developed and launched the Zillow data product within 10 months, driving immediate sales and securing an early promotionWhen I joined, YipitData was a 30-person startup. Today, it is the on-demand, 500+ person market research team for the largest investment funds and corporations in the world. We identify, license, clean, and analyze alternative data to help investors and CEOs make better decisions.

LeagueSide enables brands to sponsor youth sports leagues at scale. Acquired by TeamSnap in 2023.

• Interviewed employees of a large regional bank to revamp incentive compensation, which lifted average sales per employee by 20% in pilot branches• For a leading universal bank, developed a predictive model (using SAS) of the LTV of business banking relationships in order to better prioritize new leads• For a Fortune1000 company, ran an employee reduction and cost savings analysis for their recent ~$500M acquisition

• For a high-impact public sector project, wrote an Excel macro to automate fraud analysis which was rolled out to thousands of employees

• Called sell-side equity analysts daily and summarized recommendations before the bell• Valued potential investments using both DCF and comparables• For capstone project, pitched buying TSLA at $25/share

Based on class performance, selected as a study group leader for "Microeconomics" and "Financial Markets & Intermediaries". Also tutored 1-on-1 in "Physics 13", "Physics 14" and "Computer Science for Engineers".

Developed a program in C to analyze insurance claim receipts, leading us to drop two problematic insurers.Researched and negotiated denied insurance claims on behalf of patients.