Strong skills in Python, specializing in the development of machine learning and deep learning models, with a focus on data preprocessing, feature engineering, and building scalable datasets to optimize performance.
Experience in manipulating, transforming, and analyzing large volumes of data to support strategic decision-making.
Proficient in deploying machine learning and statistical models through modern web frameworks, ensuring scalability and performance optimization.
Focused on delivering high-impact solutions with a team-oriented approach, ensuring clear communication and collaborative problem-solving.
This project provides an end-to-end solution for automated web data extraction, cloud storage, and price prediction using Machine Learning. Designed as a regression problem, it includes a dedicated page for property price forecasting based on key features and attributes.
This Data Science project addresses a classification problem, leveraging Machine Learning to predict diabetes risk with high accuracy. It features a dashboard for data exploration and analyses, along with a dedicated page for prediction outcomes.
Designed to solve a clustering problem, this project analyzes crime patterns in São Paulo using geolocation data. It features a dashboard for exploring clusters of robbery occurrences, providing insights into spatial distribution and trends.