Data Science & Business Analytics Professional
Rancho Palos Verdes, Los Angeles
Bellevue University
B.S. Data Science | GPA: 3.68
B.S. Business Analytics
Pursuing concurrent technical degrees in Academic Good Standing.
Transforming complex clinical and business datasets into high-fidelity actionable intelligence.
Engineered a "Golden Asset" pipeline for the remediation of 50,000 consumer records, featuring automated ingestion and negation signal preservation.
Automated pipeline designed to remediate systemic defects in 100k+ hospital records, achieving a 25% DQI improvement.
Time Series model using Facebook Prophet to forecast retail sales, optimizing inventory and staffing decisions.
Unsupervised learning model for customer segmentation using RFM analysis to drive targeted marketing campaigns.
Strategic design of a normalized SQL database schema to ensure referential integrity and support enterprise BI.
Advanced statistical visualization project focused on complex storytelling and distribution analysis.
Deep Learning model built to classify sentiment in Amazon reviews, accounting for linguistic sequence and context.
Analytical model using U.S. Census data to generate a Priority Score for equitable funding decisions in Los Angeles.
Full-stack machine learning solution featuring a Lasso Regression model and a live Flask web application deployment.
Classification model designed to predict and analyze customer churn to inform business retention strategies.
Interactive visualization of equity performance and comparative trends using financial metrics and Plotly.
End-to-end NLP project demonstrating sentiment analysis on social media data using Python and Scikit-learn.
ML model using imbalanced data techniques to detect fraudulent transactions with 98.5% precision and high sensitivity.