Hi! I'm

Scarleth San Martin

Data Scientist / Software Developer

Hello! I'm Scarleth San Martin, a passionate data science enthusiast with a background in software development and chemical analysis.

Over the years, I’ve explored various disciplines. While they may seem unrelated at first glance, they all share a common thread: my desire to understand how the world works. This constant pursuit of knowledge led me to discover data science a field that merges my previous experience and opens up new possibilities.

I realized that data science is not only about analyzing complex variables in different environments, but also about predicting future behaviors through data. It may sound a bit abstract, but the idea of quantifying possibilities in any context fascinates me.

I’m driven by a constant desire to learn, build smart solutions, and contribute to impactful projects.

“Curiosity sparks learning, innovation excels.”

🔬 Data Science Tools

Python Pandas NumPy Matplotlib Seaborn Keras PyTorch TensorFlow scikit-learn XGBoost MySQL Jupyter

Development Tools

.NET Python Java Php C# HTML CSS JS

Data Science Projects

car

AutoPricer

A machine learning tool that uses regression models to estimate vehicle prices based on multiple attributes. Includes preprocessing techniques and model evaluation to support buyers and sellers in the automotive market.

churn

Churn Prediction

A classification model that identifies customers likely to leave a telecom service. Data cleaning, feature engineering and performance evaluation were applied to help the company retain more users with tailored strategies.

ReelFeel

ReelFeel

An analysis of movie reviews from IMDb using NLP techniques to explore the relationship between sentiment and numerical rating. The project includes data visualization, sentiment analysis and conclusion extraction.

GameScope

GameScope

A comprehensive exploration of the global video game market, using visualizations, statistical testing, and machine learning to detect trends across genres, platforms and regions. Includes predictive modeling for game success.