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Daarwinmendez/readme.md

👋 Hello! I'm Darwin Méndez, a developer from Santo Domingo, Dominican Republic. I'm currently pursuing an Associate Degree in Artificial Intelligence at the Instituto Tecnológico de las Américas (ITLA). I have experience in machine learning 🤖, data modeling 📊, and Python programming 🐍.

🚀 Currently, I am working on price optimization using genetic algorithms 🧬.

On my GitHub profile, you can find projects such as:

  • 💡 LLM-Applications: Practical applications of Large Language Models (LLMs), exploring their potential in various natural language processing tasks.
  • 📈 Public Payroll Data Analysis: An in-depth analysis of public payrolls in the Dominican Republic, identifying significant patterns and trends.
  • 🚚 VRP with K-Means Constrained: Implementation of solutions to the Vehicle Routing Problem using capacity-constrained clustering with K-Means.
  • ❤️ End-to-End Heart Disease Classifier: Development of a machine learning model to predict heart diseases based on medical attributes.

💡 I am committed to advancing the field of artificial intelligence and data analysis by developing innovative solutions that positively impact society. Feel free to explore my projects and connect with me on LinkedIn 🔗.

🙏 Thank you for visiting my profile! 🚀

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  1. EDA_nominas_publicas_rd EDA_nominas_publicas_rd Public

    EDA de Nóminas Públicas: Combina y analiza nóminas de cinco instituciones para identificar patrones en distribución salarial, disparidad de género y correlación entre sueldo bruto y neto usando Pyt…

    Jupyter Notebook

  2. end_to_end_heart_disease_clf end_to_end_heart_disease_clf Public

    Predicting Heart Disease using ML: A project using the Cleveland dataset to predict heart disease with Logistic Regression, KNN, and Random Forest models.

    Jupyter Notebook

  3. LLM-Applications LLM-Applications Public

    Evaluación de modelos NLP con Hugging Face: Automatiza y compara el desempeño de LLMs en tareas clave (resumen, clasificación, traducción, generación, zero-shot y few-shot) midiendo parámetros, tie…

    Jupyter Notebook

  4. sentiment_analysis sentiment_analysis Public

    Análisis de Sentimientos en Reseñas de Películas: Proyecto que utiliza NLP (tokenización, lematización, eliminación de contracciones y detección de idioma) para clasificar reseñas según 8 emociones…

    Jupyter Notebook

  5. Fine-Tuning-LLMs Fine-Tuning-LLMs Public

    Fine-tuning y evaluación de modelos NLP: Ajuste de un modelo T5 para resumen legal y de BERT para detección de Fake News, usando pipelines de Hugging Face y métricas como ROUGE y accuracy.

    Jupyter Notebook

  6. VRP-con-ACO-y-Kmeans-Constrained VRP-con-ACO-y-Kmeans-Constrained Public

    Proyecto VRP con ACO y Clustering: Optimiza rutas de entrega agrupando puntos con K-Means (considerando capacidad) y aplicando ACO para hallar rutas eficientes. Se valida la solución con métodos co…

    Jupyter Notebook