About Me

I'm a data analyst with a strong foundation in data quality, analytics, and enterprise data systems, shaped by early experience supporting large-scale production environments at Epicor Software. My work involved cleaning, normalizing, and standardizing data according to strict business rules and industry standards, ensuring accuracy and reliability across customer- and supplier-facing systems.

Over time, my focus expanded beyond data quality into database design, performance optimization, and automation. I developed these skills later in my career and reinforced them academically through advanced coursework and hands-on projects involving SQL Server, relational database architecture, performance tuning, and automated workflows. This progression strengthened my ability to work across the full data lifecycle—from data ingestion and governance to analytics and decision support.

Today, I apply advanced analytics techniques using SQL, Python, R, SAS, and Tableau to deliver predictive analytics, financial modeling, and decision-ready insights across finance, public health, supply chain, and operational domains. I hold a Master of Science in Data Analytics with a specialization in Finance.

Skills

    🧠 Analytics & Modeling

    • Predictive Analytics, Regression Analysis, Time Series Forecasting, Statistical Inference, Financial Modeling
    • Machine Learning: Logistic Regression, Random Forest, Isolation Forest, Linear Regression
    • Model Evaluation: MAE, MSE, RMSE, R², OOB Score

    🐍 Python

    • Libraries: Pandas, NumPy, statsmodels, scikit-learn, Matplotlib, Seaborn, plotly
    • Tools: Jupyter Notebook, SQLite, SQLAlchemy
    • Applications: Fraud detection, inventory forecasting, health risk adjustment, financial simulation

    📊 SAS

    • SAS Studio, SAS Programming, SAS Enterprise Miner
    • Procedures: EDA, correlation analysis, regression modeling
    • Applications: Retail growth analysis, stock performance modeling, public health compliance

    📈 R

    • Libraries: ggplot2, dplyr
    • Applications: Statistical analysis, data visualization

    📊 Business Intelligence & Reporting

    • Tableau: Interactive dashboards, public health outreach, immunization compliance
    • Excel: Pivot Tables, V-Lookup, VBA scripting, financial modeling

    🗄️ Databases & SQL

    • PostgreSQL, MySQL, SQL Server, MS Access
    • SQL Concepts: Joins, aggregations, subqueries, user privilege management
    • Applications: Pension analysis, fraud detection, retail analytics, biological data summaries

    🏗️ Data Modeling & Architecture

    • Tools: Lucidchart, MySQL Workbench, Draw.io
    • Data Warehouse: Snowflake, PostgreSQL

    🧮 ERP Systems

    • Epicor ERP: Data pipeline automation, dashboard development, supply chain optimization

    🌐 Other Technologies

    • Web: HTML, JavaScript
    • Programming: C++, Java

Education

  • Master of Science in Data Analytics, with a specialization in Finance
    Colorado State University Global, Sept. 2023 - June 2025

  • Bachelor of Science in Management Information Systems and Business Analytics
    Colorado State University Global, Sept. 2021 - July 2023