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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 | Engineering predictive models, Agentic RAG systems, and robust A/B testing frameworks to solve high-stakes business problems.
  • 🌱 Growing through: McKinsey Forward & ColorStack communities
  • 🔭 Long-term goal: Make my youngerself proud😁

🌐 Connect with Me

💻 Tech Stack

🧠 Languages & Querying

Python R SQL PostgreSQL

🤖 Machine Learning & AI

Scikit-learn XGBoost TensorFlow PyTorch NLP BERTopic RAG LLMs Causal Inference Survival Analysis

📊 Data Analysis & Engineering

Pandas NumPy SciPy NetworkX PyTorch Geometric

🧱 Data Systems & Deployment

FastAPI Vector DB Docker Git GitHub

📈 Business Analytics & Experimentation

A/B Testing Hypothesis Testing Uplift Modeling Churn Modeling Product KPIs Data Storytelling

📊 Visualization

Power BI Tableau Matplotlib

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

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  1. LogisticsIntel LogisticsIntel Public

    An end-to-end product analytics and experimentation engine utilizing SciPy for rigorous A/B test evaluation, KPI standardization, and monetization modeling.

  2. Pulsemetrics Pulsemetrics Public

    An e-commerce product metrics and monitoring system that standardizes KPI definitions, detects metric anomalies, and guides root-cause investigation with rule-based and LLM-assisted analysis.