01 · INTRO

Hi, I'm Lucas.

Statistics & DS · UCLA · Builder · Enthusiast

I like building things at the intersection of finance, data, and real-world problems. My path so far runs through finance, PE, consulting, and software. Scroll to take off a quick tour of where I've been, what I've built, and what I'm into

02 · EDUCATION

University of California,
Los Angeles

B.S. Statistics and Data Science · 2024 – 2028

Studying at the University of California, Los Angeles. Outside of class I'm involved with UCLA DevX, Lambda Phi Epsilon (serving as External VP), and intramural basketball.

Data Analysis Machine Learning Python Probability Theory R Statistical Modeling

03 · PROJECTS

Things I've built

recent work — ML on real-world data

Hospital Readmission Fairness Audit

Audited ML models on 101K+ hospital records to predict 30-day patient readmissions and surface algorithmic bias across demographics. Mapped the accuracy-vs-fairness tradeoff with Fairlearn.

Python R Scikit-learn Fairlearn EDA

FPL Oracle

Predictive analytics platform analyzing 50,000+ Fantasy Premier League records to forecast player performance. Automated pipelines scrape, clean, and process real-time data for supervised learning.

Python PostgreSQL Scikit-learn LLM

04 · INTERNSHIP

JPMorganChase

Finance Analyst Intern · June – Sept 2025

Built automated Python + AI dashboards for operations team tracking 10+ operational KPIs, providing real-time visibility into project progress and performance. Analyzed precedent financial reports using Excel and R to evaluate financial performance and workflow efficiency, feeding executive reports for a 10% cost optimization initiative.

Python LLM Excel R Financial Analysis

05 · INTERNSHIP

Kearney

Associate Consultant Intern · June – September 2026

Deploy automated systems using AI agents and REST APIs into client business workflow, improving turnaround and cross-team collaboration. Interviewed client executives to quantify growth opportunities and surface investment risks, converting findings into 50+ executive-ready deliverables then turned market and financial data into quantitative insights.

REST APIs Python Microsoft Office Salesforce Tableau

06 · INTERNSHIP

Kaizenvest

Private Equity Intern · May – September 2026

Supported a $250M+ proposed acquisition end-to-end through DCF modeling, projection validation, and market sizing across 20+ markets, shaping the investment thesis. Developed a 50+ page IM for a portfolio exit and screened 800+ impact organizations for potential investments

Excel LBO DCF Market Research Competitive Benchmark

07 · OFF THE CLOCK

When I'm not working

hobbies, hangouts, and small obsessions

I like to hike, I go on runs, I go to the gym, I go fishing, I catch Lakers games, and I play pickup wherever my friends are down. I'm always on the hunt for the next great restaurant and I want to set foot on every continent on Earth. Currently I'm building Tap, a social media app. Follow along!