Data scientist and analytics leader with 10+ years translating complex business questions into insights that improve products, operations, and strategy. I build scalable SQL models, predictive analytics, and executive dashboards that drive multi-million-dollar decisions.
I specialize in building scalable SQL data models, statistical analyses, and predictive analytics that support strategic decision-making at scale. Currently leading a team of analysts at Urban Economics, delivering market intelligence for institutional clients managing $2B+ in real estate assets.
Previously at Compass Group (E15), I designed SQL data models reducing 6B+ source records to 14M analytics-ready records, powering six enterprise dashboards. Currently pursuing an M.S. in Bioinformatics Data Science at the University of Delaware, with coursework in statistical learning, machine learning, and predictive modeling.
Built and compared seven supervised ML models — Decision Tree through Deep Neural Network — on 5,888 clinical patient records to predict heart failure outcomes. Evaluated tradeoffs between accuracy (95.3% DNN) and interpretability (Random Forest feature importance) in a clinical context.
Applied a multi-method bioinformatics pipeline to characterize an unannotated bacteriophage protein — using PSI-BLAST homology search, HHpred remote homology detection, AlphaFold2 structural prediction, and literature synthesis to build a convergent case for functional assignment.
Exploratory data analysis of 8,000+ titles — genre trends, ratings distribution, content volume by country, and release patterns using Python and Plotly.
View ProjectTime series analysis of US e-commerce growth, retail category performance, and quarterly market share using US Census Bureau data from 2010–2024.
View ProjectAnalysis of US consumer spending patterns, retail sector performance, and macroeconomic indicators — translating market data into strategic implications.
View ProjectA narrative analysis connecting income data, retail behavior, and streaming content strategy — three datasets that kept describing the same person.
Read the AnalysisI'm currently open to data science and analytics roles, particularly in product-facing environments. Feel free to reach out directly.