Senior Analyst → Marketing Data Scientist based in Dallas, TX
I build data-driven solutions at the intersection of marketing analytics, customer intelligence, and machine learning. Currently at Hilton, where I design audience strategies for 10M+ loyalty members across CRM and co-brand campaigns with American Express.
I'm transitioning into Marketing Data Science — building ML models for customer segmentation, propensity scoring, and campaign optimization.
- 🏨 Hotel Booking Cancellation Predictor — classification model for hospitality demand (scikit-learn, XGBoost)
- 📧 Email Engagement Propensity Model — predicting campaign response likelihood for CRM targeting
- 🏦 Credit Risk Evaluator — Logistic Regression vs. Random Forest on lending data; best result: 79.64% accuracy
- 🍔 Balaji Fast Food Sales Analysis — EDA on restaurant sales data with actionable business recommendations
- Machine Learning with scikit-learn & Python
- Causal Inference & Experimental Design
- Linear Algebra (Dallas College, Spring 2026)
- Preparing for MS in Data Science — UT Austin (Spring 2027)
- Hilton — Senior Analyst, Audience Development (2024–Present)
- 7-Eleven — Data Analyst (2023–2024)
- Georgetown University — B.A. Psychology, NCAA D1 Football Captain
Python SQL Treasure Data (CDP) Braze Databricks Power BI
scikit-learn pandas Excel Salesforce
Marketing Data Scientist roles in Fintech • Entertainment • Hospitality