Marcos Rampaso

Marcos Rampaso

Data Scientist • Machine Learning • Data Analyst

About

Marcos Rampaso
São Paulo, Brazil

I am a data professional with a bachelors degree in Computer Science, experienced in data analysis, machine learning and building predictive models. I enjoy transforming raw data into actionable insights and developing solutions that support real-world decision-making.

Projects

Wildfire Prediction Project
Wildfire Prediction in Brazil's Central-West Region using SVM

This project presents an end-to-end machine learning pipeline for predicting wildfire occurrences in Brazil’s Central-West region. By integrating climatic, socioeconomic, and satellite-derived fire data, the model identifies high-risk periods and locations with strong predictive performance (F1-score ≈ 0.99).

Data Analysis Source Code
Brazilian E-Commerce Delivery Delay Prediction
Olist Customer Retention Analysis (In progress)

This project uses the Brazilian E-Commerce Public Dataset by Olist to explore customer retention and identify clients at risk of churn. By analyzing purchase history, order frequency, ticket value, product categories, and reviews, we aim to uncover patterns that predict which customers may stop buying and generate actionable insights to improve retention strategies.

View Project Source Code

Skills