Hi! I'm Jetsael ๐
I'm a Data Science Trainee with a background in communication, currently focused on building data-driven solutions using Python and machine learning.
I recently completed a professional training program in Data Science & Machine Learning (Oracle Next Education), where I developed projects involving data analysis, predictive modeling, and ETL processes.
- Build and evaluate machine learning models (classification & regression)
- Perform data cleaning, EDA, and feature engineering
- Work with real-world datasets to generate actionable insights
- Communicate results clearly through visualizations and reports
- Predictive modeling (churn, classification problems)
- Model evaluation (ROC-AUC, Precision, Recall, F1)
- End-to-end data workflows (ETL โ modeling โ insights)
- Improving deployment and reproducibility of ML projects
๐ Telecom X โ Churn Prediction
- Built classification models (Decision Tree, Random Forest) to predict customer churn
- Optimized models with GridSearchCV and evaluated using key metrics
๐ Alura Store โ Sales Analysis
- Analyzed sales performance across multiple branches using Pandas
- Generated insights for business decision-making through visualizations
Before transitioning into tech, I worked in media and content, developing strong skills in:
- Research & analysis
- Data interpretation
- Communication of complex information
Now I combine that with data science to turn data into clear, useful insights.
- Data Science / Data Analyst entry-level roles
- Collaborative projects involving data & ML
- Opportunities to grow in real-world environments
Letโs build something meaningful with data ๐
๐น Telecom X โ Churn Prediction
https://github.com/JetsaelVillegasMendoza/telecom_x_parte_2
โ End-to-end ML project: data cleaning, modeling, evaluation
๐น Alura Store โ Sales Analysis
https://github.com/JetsaelVillegasMendoza/alura-store-challenge
โ Data analysis project focused on business insights and visualization
๐น YolliCalli โ E-commerce Platform
https://github.com/DhyanaIxchelVerjanVargas/Proyecto-YolliCalli
โ Front-end + product module implementation
- Advanced model optimization (GridSearchCV, tuning strategies)
- Improving ML pipelines and reproducibility
- Data storytelling for decision-making
I transitioned from media & storytelling โ data science,
so I donโt just analyze dataโฆ I make it understandable.
