Senior Analyst | Experimentation • Causal Inference • Growth Analytics
Based in Dallas, TX
I work at the intersection of audience strategy, CRM segmentation, and performance measurement — helping marketing teams target the right customers, test smarter, and prove impact. Currently a Senior Analyst at Hilton, where I design and support scalable audience segments for Hilton Honors (100M+ members) across CRM and loyalty activation.
I'm preparing to transition into Product Data Science, with a focus on experimentation frameworks, causal measurement, and incrementality. Starting the MS in Data Science at UT Austin in Spring 2027.
Languages: SQL, Python (pandas, scikit-learn, NumPy), basic R
Data & BI: Amazon Redshift, Databricks, Treasure Data, Tableau, Power BI, Excel
Activation: Braze
Other: Git, Jira, Confluence
- 🏀 vegas-sports-edge — Sports prediction framework with causal inference and calibration rigor, benchmarked against Vegas closing lines; produces daily game forecasts and isolates the true causal effect of back-to-backs. NBA first; NFL in progress.
- 🍔 Balaji Fast Food Sales Analysis — EDA on restaurant sales data; identified peak-hour patterns and item performance drivers to inform revenue strategy
- 💳 Credit Risk Evaluator — Logistic Regression vs. Random Forest comparison on lending data; evaluated using AUC and precision-recall to handle class imbalance
- Calculus 3 (Dallas College, Spring 2026)
- Linear Algebra (Dallas College, Spring 2026)
- Causal Inference & Experimental Design — self-study
- Preparing for MS in Data Science at UT Austin (Spring 2027)
📫 LinkedIn
📧 rlc93@georgetown.edu
📍 Dallas, TX