Full-stack applications and machine learning projects — code, data, and systems.
Analyzed 100K orders uncovering 97% customer churn crisis. Built Random Forest model (ROC-AUC: 0.694) identifying BRL 3.6M revenue opportunity.
Using Yahoo Finance data, built a time series ML model to forecast a stock's next-day or next-week price using historical prices.
Using Wholesale Customer Data, created and trained a clustering ML model to segment customers for targeted engagement strategies.
Spam detection using NLP and machine learning. Achieves 98.3% accuracy with TF-IDF vectorization and custom pattern detection.
ML model for predicting house prices in King County using multiple regression techniques with comprehensive data visualization.
Full-stack web application for tracking personal expenses with user authentication, data visualization, and budget management.
E-commerce platform with product listings, shopping cart functionality, and secure payment processing using Django.
Task management application with full CRUD operations, allowing users to create, update, delete, and organize daily tasks.
