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Daniel C. Velázquez
SoyDanielCV
Data Scientist Jr.
21 years old, from Mexico, my passion is coding, always want to keep learning.
Hi 👋, I'm Luis Daniel Covarrubias Velázquez
🇲🇽 Data Scientist | Machine Learning | Analytics
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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.
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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.
📊 Proyectos Destacados | Featured Projects
🔹 Telecom Churn Prediction
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- Modelo de churn con +7,000 clientes
- Integración de múltiples datasets
- Modelos: Logistic Regression, Random Forest, XGBoost
- 🎯 AUC-ROC > 0.90
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- 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
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- +16,000 registros analizados
- Análisis por región y plataformas
- Pruebas estadísticas (t-test)
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- 16,000+ records analyzed
- Regional & platform insights
- Statistical testing (t-test)
⭐ 🇪🇸 Abierto a oportunidades en Data Science
⭐ 🇺🇸 Open to Data Science opportunities
Popular repositories
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Data analysis project exploring global video game sales trends to identify success patterns and support data-driven marketing strategies.
Jupyter Notebook
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Machine learning project to predict customer churn using classification models, enabling proactive retention strategies and improving customer lifetime value.
Jupyter Notebook
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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
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Machine Learning project to predict customer churn using classification models and imbalance handling techniques
Jupyter Notebook
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