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fabiogaldinho/README.md

Fábio Galdino

Data Specialist (Analytics & Data Science)

With over 9 years of experience in business intelligence, data analysis, team management, and process improvement, I am passionate about turning information into valuable and strategic insights. In addition, I have consistently pursued the development and implementation of solutions based on machine learning, optimization, and simulation.

I am currently pursuing a postgraduate degree in Data Science and Analytics at PUC-Rio to deepen my understanding of the field.

My goal is to contribute with innovative and efficient solutions by using data analysis and data science as a foundation to optimize processes and add value to organizations.


LinkedIn Profile My GitHub Repositories

LANGUAGES AND TOOLS

Python SQL Scikit-learn LightGBM XGBoost Library Keras Deep Learning ARIMA Time Series Optuna Hyperparameter Optimization Pandas Numpy Matplotlib Seaborn Google Colab Jupyter Notebook Tableau Desktop Power BI



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  1. Dynamic-Pricing Dynamic-Pricing Public

    Dynamic pricing system for cement sales, using XGBoost and demand forecasting to optimize profit based on internal operations and external market conditions.

    Jupyter Notebook

  2. House-Prices-Advanced-Regression-Techniques House-Prices-Advanced-Regression-Techniques Public

    Predicting house prices using advanced regression techniques (LightGBM, XGBoost, CatBoost, stacking) on Kaggle’s Ames dataset.

    Jupyter Notebook

  3. Titanic-Classification Titanic-Classification Public

    Predicting survivability of passenger using XGBoost’s Classififer on Kaggle’s Titanic dataset.

    Jupyter Notebook

  4. IBM-Data-Science-Professional-Certificate IBM-Data-Science-Professional-Certificate Public

    Jupyter Notebook