Electronic Engineer and Data Scientist with skills to solve activities involving mathematical and statistical analysis, as well as high organizational management, teamwork, self-learning, leadership and flexibility.
- Cleaning, exploratory and descriptive analysis, and visualization of results of a real estate dataset using the Python libraries Numpy, Pandas, Seaborn, and MatPlotLib. - Building regression, classification, and clustering models of a real estate dataset real estate using the Python libraries Scikit Learn and TensorFlow.
Major achievementConstruction of assembly models on a music dataset extracted through the Spotify API, using the Scikit Learn, XGBoost and LightGBM Python libraries.