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Maximo-Verdondoni/README.md

Hi, I'm Maximo Verdondoni

  • 👨‍💻 Data Scientist and Machine Learning Enthusiast
  • 🌱 I’m diving deeper into Machine Learning and AI

🛠  Tech Stack

🔧 Languages

Python R SQL

📚 Libraries

Numpy Pandas Scikit-learn Matplotlib

🔗  Contact Me

Gmail LinkedIn

README Credit: Abdalrahman-Alhamod

👇🏻 Here is a list of the Open Source projects I work on: 👇🏻

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  1. ChallengePwC ChallengePwC Public

    Machine learning project designed to predict salaries based on various employee features such as gender, education level, and years of experience. The model is built using scikit-learn and exposes …

    Jupyter Notebook

  2. EcoBottle-DW-Project EcoBottle-DW-Project Public

    Forked from AugustoCarmona/imond-tp_final

    End-to-end marketing analytics ETL pipeline. Ingests raw CSVs, transforms with Python/Pandas, builds a dimensional data warehouse, and feeds a PowerBI dashboard.

    Python

  3. gmm-vs-kmeans-simulation gmm-vs-kmeans-simulation Public

    Empirical simulation study comparing K-Means vs. GMM under geometric stress tests (anisotropy, heteroscedasticity, overlap). Demonstrates the bias-variance trade-off in unsupervised learning using …

    Jupyter Notebook

  4. Recomendation-System-WorldCup2026 Recomendation-System-WorldCup2026 Public

    A recommendation system for the 2026 FIFA World Cup. Built with a Python data pipeline (Scraping, PCA, Feature Engineering) and a zero-cost Client-Side Vanilla JS demo.

    Jupyter Notebook

  5. DesafioiFlow DesafioiFlow Public

    Analisis Exploratorio datos empresa logistica

    Jupyter Notebook

  6. JuanMLeoni/NimbusR JuanMLeoni/NimbusR Public

    Paquete Metereológico para leer y analizar datos. ( no descargar)

    R