Experience

  1. 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.
    Key Projects:
    Regression Analysis
    Performed regression-based cross-check analysis (Python/Dataiku) on follow-on acquisition costs, leading to a 15% correction of estimated ground costs.
    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.

  2. Data Science Adjunct Instructor

    edX
    Led instruction for Data Science/FinTech bootcamps, covering Machine Learning, Predictive Analytics, and Blockchain.
    Key Projects:
    Research Advisor
    Provided expert mentorship on student research projects, focusing on experimental design and optimizing complex data pipelines.
  3. Chipotle Mexican Grill

    Statistical Consultant

    Chipotle Mexican Grill
    Developed an NLP-driven ensemble model in Python to enrich, cluster, and provide insights into restaurant performance.
    Key Projects:
    Natural Language Processing (NLP) on Customer Reviews
    Developed an NLP model (Python/Streamlit) to analyze internal and external unstructured text, achieving 90% accuracy in automated comment tagging.

  4. 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.
    Key Projects:
    Forecasting Metric Creation
    Designed and evaluated new DOD forecasting metrics using Brier scoring (R, R-Shiny, Power BI), impacting $5.8 trillion in agency contracts.
    Survey Natural Language Processing (NLP) Prototype
    Constructed NLP models, consisting of aspect-based sentiment analysis from survey data using Python and Streamlit.

  5. 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. Co-orchestrated the operational integration of company acquisitions, managing the merger of technical infrastructures and operational teams to drive organizational efficiency.
    Key Projects:
    Demand Elasticity Moodel
    Created demand elasticity and propensity-to-buy models (R/R-Shiny), achieving 85% accuracy for sales and marketing strategy insights.
    SQL Automation
    Automated SQL views and stored procedures to ensure continuous data freshness and maintain strict Service Level Agreements (SLAs).
    Survey Design
    Led the design of finance industry surveys, resulting in new services with high 50%-75% profit margins.
    Product Development/Feature Engineering
    Integrated third-party data using feature engineering, resulting in improved market share approximations and a 10% increase in product valuation.

  6. Consultant/Portfolio Analyst

    US Bank
    Supported Wholesale Banking Lenders by compiling financial statement spreads, quarterly trend analysis, projections, and covenant testing.
    Key Projects:
    Updated Training Evaluation
    Developed new department training metrics using VBA/Excel and ANOVA testing, resulting in a 20% reduction in training time for staff.

  7. Credit Analyst

    Wells Fargo NA
    Performed credit investigations and first-level analytics for accounts with $1M+ exposure, ensuring financial compliance and performance review.
    Key Projects:
    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.
    Wells Fargo: Task Automation
    Engineered a Visual Basic and Excel application to automate daily tasks, resulting in a 50% reduction in required effort.
    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%.

Education

  1. 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.

  2. BA Business Economics

    University of California, Riverside

    GPA: 4.0/4.0

    Graduated Summa Cum Laude.

Skills & Hobbies
Programming Languages
Python
R
Visual Basic
Web & UI
Shiny
Streamlit
Plotly Dash
Gradio
Databases
MS SQL
PostgresSQL
Chroma DB
MongoDB
AI/ML Frameworks
Scikit-learn
TensorFlow
PyTorch
Keras
H2O
LangGraph
Hugging Face
Data Science
Jupyter
R-Studio
NumPy
Pandas
Plotly
GGPlot2
Apache Spark
Dev Tools
Git
GitHub
GitLab
Docker
Postman
VSCode
Hugo
Hobbies
Reading
Board Games
Artboard 146 Tennis
Certificates
IBM RAG and Agentic AI Professional Certificate
IBM & Coursera ∙ January 2026

Professional Certificate in Advanced Generative AI Architecture & Agentic Systems:

  • Agentic Frameworks: Built autonomous and collaborative agents using LangGraph, CrewAI, AG2 (AutoGen), and BeeAI.
  • Orchestration & Workflows: Designed modular AI workflows with LangChain, utilizing memory, feedback loops, and multi-step reasoning.
  • RAG & Data: Implemented Retrieval-Augmented Generation (RAG) using vector databases, embeddings, and the Model Context Protocol (MCP).
  • Advanced Prompting: Expertise in multimodal prompts, function calling, and tool integration to create context-aware applications.
  • Architecture: Designed multi-agent systems capable of distributed decision-making and dynamic context switching.
NoSQL, Big Data, and Spark Foundations Professional Certificate
IBM & Coursera ∙ September 2025
Completed an intensive program focused on building and managing scalable data architectures. Mastered the ability to handle Big Data through distributed computing frameworks like Apache Spark and Hadoop. Developed a deep understanding of NoSQL database design (sharding/indexing) and implemented robust ETL pipelines to streamline data for production-grade Machine Learning models, ensuring high availability and performance using Kubernetes.
Shiny Web Applications & Data Science for Business with R
Business Science University ∙ September 2022
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.
SQL Essential Training
LinkedIn Learning ∙ December 2015
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.
Languages
100%
English
50%
Spanish