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Bobby-Bag/README.md

Hi there, I'm Bobby 👋

LinkedIn GitHub

I am a data professional with a passion for extracting actionable insights from complex datasets. Currently pursuing an M.S. in Data Science at the University of Houston-Clear Lake, I am actively expanding my expertise in machine learning, data visualization, and the practical applications of Large Language Models (LLMs).

As a former Marine Corps infantryman, I bring a highly disciplined, adaptable, and rigorous approach to problem-solving. I thrive in project-based environments and pride myself on my ability to translate highly technical findings into clear, impactful writing for both academic and business stakeholders.

🔭 Current Focus

  • Academic Coursework: Deep diving into Advanced Data Visualization, Machine Learning & Data Analysis, and Natural Language Processing.
  • Active Project: Developing a Natural Language Processing (NLP) pipeline focused on language revitalization and machine translation for Louisiana Creole (Kouri Vini).
  • Upcoming project: Building an LLM from scratch

🛠️ Technical Arsenal

  • Languages: Python, SQL, Swift
  • Data Science & ML: Pandas, NumPy, Scikit-Learn, Regression, Classification Modeling
  • Visualization: Tableau, Matplotlib, Seaborn, Altair
  • Tools & Environment: Git, GitHub, Jupyter Notebooks

📊 Featured Portfolio Projects

Project Description Tech Stack
MMA Striking Performance Classifier A machine learning classification model utilizing L1 Regularization to predict UFC fight outcomes based strictly on historical striking differentials. Outperformed a 56.4% naive baseline. Python, Scikit-Learn, Pandas
Dry Beans Classification An exercise in Discriminant Analysis, KNN, and Gaussian Niave Bayes classification models to predict bean variety. Python, Scikit-Learn, Seaborn
Superstore Retail KPI Dashboard An interactive BI dashboard analyzing regional sales performance, profitability heatmaps, and dynamic customer segment filtering to drive data-informed decision-making. Tableau, Data Visualization
iOS Calculators & Converters A demonstration of software development fundamentals, showcasing custom two-value operations, numerical integration, and clean app architecture. Swift, iOS Development

⚡ Beyond the Code

When I step away from the keyboard, you can usually find me training martial arts, fishin' for catfish or big reds, or spending time outdoors tending my garden.

📫 Let's Connect: [bobby.professional@protonmail.com]

Pinned Loading

  1. mma-striking-fight-prediction mma-striking-fight-prediction Public

    Classification project using L1 Logistic Regression to attempt to predict the winner of an MMA match based on previous striking performance.

    Jupyter Notebook

  2. dry-beans-classification-model dry-beans-classification-model Public

    A practical implementation of classification algorithms and the critical evaluation of model assumption using the Dry Beans dataset.

    Jupyter Notebook

  3. Retail-KPI-Dashboard Retail-KPI-Dashboard Public

    Tableau dashboard that allows one to quickly assess quarterly performance by sub-category and explore the relationships between sales, profit, discounting, and quantity. Interactivity features incl…