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SoyDanielCV/README.md

Hi 👋, I'm Luis Daniel Covarrubias Velázquez

🇲🇽 Data Scientist | Machine Learning | Analytics

🚀 Sobre mí | About Me

🇪🇸 Soy un Data Scientist enfocado en construir modelos predictivos y soluciones basadas en datos que generen impacto real en negocio. Tengo experiencia trabajando con datos complejos, integrando múltiples fuentes y desarrollando modelos de Machine Learning end-to-end.

🇺🇸 Data Scientist focused on building predictive models and data-driven solutions that create real business impact. Experienced in handling complex datasets, integrating multiple sources, and developing end-to-end ML solutions.

🛠️ Tech Stack

📊 Proyectos Destacados | Featured Projects

🔹 Telecom Churn Prediction

🇪🇸

  • Modelo de churn con +7,000 clientes
  • Integración de múltiples datasets
  • Modelos: Logistic Regression, Random Forest, XGBoost
  • 🎯 AUC-ROC > 0.90

🇺🇸

  • Churn prediction model with 7,000+ customers
  • Multi-source data integration
  • Models: Logistic Regression, Random Forest, XGBoost
  • 🎯 AUC-ROC > 0.90

🔹 Video Game Sales Analysis

🇪🇸

  • +16,000 registros analizados
  • Análisis por región y plataformas
  • Pruebas estadísticas (t-test)

🇺🇸

  • 16,000+ records analyzed
  • Regional & platform insights
  • Statistical testing (t-test)

📫 Contacto | Contact

⭐ 🇪🇸 Abierto a oportunidades en Data Science ⭐ 🇺🇸 Open to Data Science opportunities

Studies | Estudios

Image diploma_ds

Popular repositories Loading

  1. SoyDanielCV SoyDanielCV Public

    My public profile

  2. Video-game-sales-analysis-for-projection Video-game-sales-analysis-for-projection Public

    Data analysis project exploring global video game sales trends to identify success patterns and support data-driven marketing strategies.

    Jupyter Notebook

  3. machine-learning-model-heavy-industry machine-learning-model-heavy-industry Public

    Jupyter Notebook

  4. Customer-Churn-Prediction-for-Telecom-Interconnect- Customer-Churn-Prediction-for-Telecom-Interconnect- Public

    Machine learning project to predict customer churn using classification models, enabling proactive retention strategies and improving customer lifetime value.

    Jupyter Notebook

  5. Ride-Sharing-Data-Analysis-Weather-Impact Ride-Sharing-Data-Analysis-Weather-Impact Public

    End-to-end data analysis project using SQL and Python to analyze taxi demand and test the impact of weather on trip duration in Chicago.

    Jupyter Notebook

  6. Customer-Churn-Prediction-Data-Bank Customer-Churn-Prediction-Data-Bank Public

    Machine Learning project to predict customer churn using classification models and imbalance handling techniques

    Jupyter Notebook