Led instruction for Data Science/FinTech bootcamps, covering Machine Learning, Predictive Analytics, and Blockchain.
Production Manager/Data Scientist
Informa Research Services
Led a 7-person Production/Data Science team in a SaaS environment, managing ETL, analytics, and contributing to 50% enhancement in product offerings.
Statistical Consultant
Chipotle Mexican Grill
Developed an NLP-driven ensemble model in Python to enrich, cluster, and provide insights into restaurant performance.
Consultant/Portfolio Analyst
US Bank
Supported Wholesale Banking Lenders by compiling financial statement spreads, quarterly trend analysis, projections, and covenant testing.
Operations Research Analyst, Earned Value Management Specialist
Defense Contract Management Agency (DCMA)
Provided crucial oversight for Earned Value Management (EVM) compliance and performed in-depth cost/schedule review for $1.3B+ programs.
Operations Research Analyst, Cost Analyst
Air Force Cost Analysis Agency (AFCAA)
Conducted non-advocate cost analysis (TS/SCI cleared) on programs exceeding $20B, driving recommendations that resulted in over $1B in long-term savings.
Credit Analyst
Wells Fargo NA
Performed credit investigations and first-level analytics for accounts with $1M+ exposure, ensuring financial compliance and performance review.
Education
MS Statistics
California State University, Fullerton
Capstone project Client Based Neural Language Project. · Used enriched data to rank and cluster over 2,600 restaurants, combining internal data and external unstructured text data for feature engineering using natural language processing with 90% accuracy.
BA Business Economics
University of California, Riverside
GPA: 4.0/4.0
Graduated Summa Cum Laude.
Data Science Solutions & Business Impact Projects
Predictive Modeling & Advanced Analytics
Chipotle Mexican Restaurant (CSUF):NLP Model
Developed an NLP model (Python/Streamlit) to analyze internal and external unstructured text, achieving 90% accuracy in automated comment tagging.
Informa: Demand Elasticity Moodel
Created demand elasticity and propensity-to-buy models (R/R-Shiny), achieving 85% accuracy for sales and marketing strategy insights.
DCMA: Forecasting Metrics
Designed and evaluated new DOD forecasting metrics using Brier scoring (R, R-Shiny, Power BI), impacting $5.8 trillion in agency contracts.
Wells Fargo: Workflow Time Series
Conducted a time series analysis in Python to forecast future workflow growth, leading to savings of over 250 overtime hours per month.
AFCAA: Regression Analysis
Performed regression-based cross-check analysis (Python/Dataiku) on follow-on acquisition costs, leading to a 15% correction of estimated ground costs.
Operational Efficiency & Automation
US Bank: Training Reduction
Developed new department training metrics using VBA/Excel and ANOVA testing, resulting in a 20% reduction in training time for staff.
Wells Fargo: Task Automation
Engineered a Visual Basic and Excel application to automate daily tasks, resulting in a 50% reduction in required effort.
Informa: SQL Automation
Automated SQL views and stored procedures to ensure continuous data freshness and maintain strict Service Level Agreements (SLAs).
Wells Fargo: A/B Testing
Implemented a new FAQ system and used A/B testing to validate project impact, decreasing overall phone call time by 15%.
Strategic Insights, Research & Mentorship
edX (Arizona State University): Research Mentorship
Provided expert mentorship on student research projects, focusing on experimental design and optimizing complex data pipelines.
Informa: Research Design
Led the design of finance industry surveys, resulting in new services with high 50%-75% profit margins.
Informa: Product Development/Feature Engineering
Integrated third-party data using feature engineering, resulting in improved market share approximations and a 10% increase in product valuation.
AFCAA: Learning Curve Research
Conducted research on sub-element learning curves and acquisition lag (Python/Databricks), resulting in a 10% change in expected R&D costs.
Explains Big Data impact, tools (Hadoop, Spark), and methods (MapReduce/RDDs); details Hadoop architecture (HDFS, Hive, HBase) and applies advanced Spark programming, including SQL optimization.
Gained practical experience building and deploying predictive web applications using R/Shiny and Flexdashboard, integrating XGBoost machine learning models for consistent product pricing and sales forecasting.
Completed SQL Essential Training, gaining a solid working knowledge of SQL terminology, syntax, and efficient data retrieval/management, covering topics from creating tables to advanced joins and views.