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Kevinbeltran123/README.md

Kevin Beltrán

Systems & Industrial Engineering student with a focus on data science, machine learning, and backend development. I enjoy working with data pipelines, predictive models, and building full-stack applications.


Tech Stack

Data & Machine Learning

Python SQL Scikit-learn XGBoost Pandas Jupyter

Full-Stack Development

Java JavaScript TypeScript HTML CSS Flutter


GitHub Stats

Kevin's GitHub Stats


Contact

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  1. DeporTur DeporTur Public

    Full-stack platform for managing tourist destinations, sports equipment inventory and reservations. React + Vite frontend, Spring Boot 3 backend, PostgreSQL (Supabase) and Auth0 authentication.

    Java

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    NBA moneyline predictor using an XGBoost + CatBoost ensemble (~65% accuracy). Includes Kelly criterion betting, Optuna tuning, in-game cascade models and a Streamlit dashboard.

    Python

  3. Unibabot_PDA Unibabot_PDA Public

    Intelligent agent for automated compliance verification of Academic Development Plans (PDAs) at University of Ibagué. Rule-driven pipeline + Docling + Qwen 2.5 14B reaching 1.000 accuracy on hold-o…

    Python