Luke Catalano
Predictive Analytics Intern @ RDAbbott | M.S. Quantitative Economics & Finance @ UC Santa Cruz
- Role
- Predictive Analytics Intern at Rdabbott
- Location
- Culver City, CA, US
- LinkedIn followers
- 500 followers
About Luke Catalano
I am a Quantitative Economist specializing in causal inference and applied machine…
Experience
Predictive Analytics Intern
Jun 2025 — Present · Garden Grove, CA, US
Developed and validated a Gradient Boosting machine learning model, achieving 85% forecasting accuracy for monthly product-site sales volume, generating 3-month-ahead predictions to enhance delivery and inventory optimization- Forecasted product-site demand representing $10M in YTD revenue with over 90% accuracy across a 20-month backtesting validation phase- Engineered and selected key predictive features demonstrating a 95% average correlation with monthly product-site volume, driving high-accuracy forecasts and actionable business insights.Position extended through December 2025 in recognition of performance and measurable project impact.
Education
University of California, Santa Cruz
Bachelor's degree, Economics (Honors)
University of California, Santa Cruz
Master of Science - MS, Quantitative Economics and Finance
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