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  • University of Texas at Arlington
  • Arlington, Texas
  • LinkedIn in/franklinmo

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Thizisfranklin/README.md

Hi 👋 I'm Franklin

I’m a third year data science student at the University of Texas at Arlington, interested in how data, AI, and technology can shape product decisions and improve real experiences for people.

🧠 About Me

  • 🎓 Data Science @ UTA ’27
  • 🎯 Interests: Data Science(Growth& Product Analytics), ML engineering, LLMs, AI Product management
  • 🌱 Growing through: McKinsey Forward & ColorStack communities
  • 🔭 Long-term goal: Make my youngerself proud😁

🚀 What I'm Up To

  • 📊 Building ML projects that turn raw data into product insights and decisions
  • 🤖 Experimenting with LLMs and agents for retrieval, analytics, and workflow automation
  • ⚽ Exploring sports and product analytics use cases to sharpen my modeling + storytelling skills

🌐 Connect with Me

💻 Tech Stack:

Languages & Querying:
Python R SQL Bash

ML & AI:
TensorFlow PyTorch Keras scikit-learn XGBoost LLMs Prompt Engineering

Data Visualization & Analytics:
Power BI Tableau Plotly Matplotlib Seaborn

Data & Cloud:
MySQL PostgreSQL MongoDB SQLite AWS

Tools & Workflow:
Git GitHub Jupyter VS Code Spark Airflow Kafka

Thanks for stopping by — I’m always learning and always building. 🙂

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  1. FarmGuard--Mushroom--Safety-Classifier FarmGuard--Mushroom--Safety-Classifier Public

    Using the Kaggle mushroom dataset, I trained and compared two models (Random Forest and Naive Bayes). The system was set to catch almost every poisonous mushroom and route low-confidence cases to a…

    Jupyter Notebook

  2. RealTime-TeamFit-Recommender RealTime-TeamFit-Recommender Public

    In development: SystemFit is a real-time recommender that ranks players, coaches, and staff for club fit using live match data, with a deployed web app and explainable scores.

  3. SmartChurn SmartChurn Public

    This project uses machine learning to predict which bank customers are likely to churn (leave). It showcases a complete data-science workflow — from exploratory analysis and preprocessing to model …

    Jupyter Notebook

  4. WineMap_AI WineMap_AI Public

    WineMap_AI uses unsupervised machine learning to group wines by their chemical properties. The project applies clustering methods and PCA visualizations to uncover natural wine segments that help w…

    Jupyter Notebook