Skills & Stack
Applied AI & GenAI
End-to-End AI Product Dev
LLM Application Dev
AWS Bedrock
Claude
Bedrock AgentCore
Agentic Workflows
RAG
Vector Search
Embeddings
Vision-Language Models
Prompt Engineering
LLM Feature Generation
LLM Cost Optimization
Batch Inference
Claude Code
Machine Learning & Modeling
Scikit-learn
XGBoost
Classification
Regression
Time-Series Forecasting
Bayesian Methods
Markov Models
Discrete-Choice Modeling
Monte Carlo Simulation
Feature Engineering
Predictive Modeling
Data Engineering & Cloud
Python
SQL
R
PySpark
Pandas
NumPy
AWS (Glue / Redshift / Lambda / S3)
boto3
Apache Airflow
Apache Spark
ETL Pipelines
Data Warehousing
Entity Resolution
Docker
Git
CI/CD
Linux
Production Deployment
Product Analytics & Experimentation
A/B Testing
Experimental Design
KPI Design
Customer Lifetime Value (CLV)
Lead Scoring
Customer Segmentation
Demand & Revenue Forecasting
Stakeholder Communication
Data Storytelling
Visualization & BI
Tableau
Power BI
Streamlit
Plotly
Advanced Excel
Executive Dashboards
Geospatial & Network Analytics
GeoPandas
Shapely
Python Geospatial
ArcGIS
QGIS
NetworkX
OSMnx
OpenStreetMap
Routing & Shortest-Path Algorithms
Spatial Analysis
Work Experience
Data Scientist - Applied AI & Customer Analytics
Choice Hotels International
- B2B Sales Lead Scoring Product: Architected an end-to-end AI product to score and rank prospective B2B customers. Reduced sales research time from an hour to minutes for teams managing 6,000 properties. Delivered a fully integrated Tableau application merging Salesforce, internal data, and third-party APIs. Engineered the underlying ML and LLM features to drive a unified sort score.
- Predictive Customer Lifetime Value (CLV) Engine: Developed a cohort-based predictive analytics product processing 50M+ transaction records. Delivered actionable intelligence that drove targeting strategies for $100M+ in seasonal marketing campaigns.
- Vision-AI Brand Compliance Product: Architected an automated GenAI application to evaluate 300,000 marketing images across 6,000 franchised properties. Replaced a manual audit, immediately cutting $45K in operational costs. The deployed product is projected to drive a $5M revenue lift over the next year.
- Enterprise Entity Resolution Service: Shipped a multi-stage data matching product to reconcile external vendor data against 60,000 US hotel inventory. Upgraded legacy systems by integrating geospatial logic and LLM-based vector similarity for edge cases. Boosted successful match rates from 50% to 96%. Deployed the scalable architecture into production via AWS Glue.
- GenAI Climate Risk Application: Built a first-of-its-kind intelligence application for area directors managing 6,000 properties for climate risks and sustainability opportunities. Translated complex open-source climate data into intuitive KPIs. Integrated generative AI (Claude via Bedrock) to deliver actionable, property-specific summaries for non-technical users.
Lead Transportation Networks Data Scientist
ICF International
- Statewide Traffic Reliability Product: Built a comprehensive Python analytics engine to quantify travel time reliability for the Virginia Office of Intermodal Planning and Investment. Processed and scored millions of individual road segments across the state network. Partnered directly with leadership to define product requirements, translating complex traffic methodology into a deployed data asset used for statewide planning.
- Urban Mobility Impact Simulator: Architected a Python and QGIS spatial modeling product for NYSDOT to evaluate infrastructure changes along the Bronx Highway corridor. Designed an isochrone-based scenario engine to simulate and quantify how proposed access restrictions would affect resident transit accessibility. Translated complex spatial models into executive-ready metrics, directly guiding major urban planning decisions.
- National GTFS Evaluation Service: Engineered an automated data quality application using Python to audit transit network geometry across nearly 3,000 regional operators. Utilized spatial buffering techniques in GeoPandas to identify routes detached from underlying road networks. Provided FHWA stakeholders with a prioritized triage system, transforming fragmented public data into an actionable resource allocation strategy.
Transportation Systems Data Modeler
C&M Associates
- Predictive Forecasting Pipeline: Built the data ingestion pipeline powering Traffic and Revenue models for the I-495 extension. Used Python to automate data cleaning, missing value imputation, and outlier detection across over 500 traffic data collection stations to calibrate long-term simulation models.
- Revenue Scenario Simulator: Developed forecasting tools to drive the 30-year financial and strategic plan for the Dulles Toll Road. Modeled complex demand sensitivities and toll rate variations using Python and Excel, delivering actionable models directly to stakeholders.
Data Science Graduate Research Assistant
George Mason University
- Predictive Modeling & Data Architecture: Engineered automated pipelines to collect traffic data via API integrations and web scraping, building a centralized spatial inventory. Cleaned and structured disparate datasets to run machine learning models, mathematical algorithms, and Monte Carlo simulations. Tested complex infrastructure scenarios to drive the quantitative methodology for published academic research.
- Executive Intersection Analytics Dashboard: Built a public-facing Tableau application visualizing complex traffic flows across over 200 Fairfax stations. Parsed unstructured, irregular sensor text logs into a clean relational database. Engineered custom KPIs for seasonal variation and data reliability, delivering an end-to-end analytics product for executive decision makers.
Education
2004 - 2009
2012 - 2015
2017 - 2019
2019 - 2025
