Carlos Egana

Applied Data Scientist | Problem Solver with Engineering Background | (Spanish/English)


Chatbot + RAG + Report

AI-powered chatbot using LLM and RAG technology, with report generation capabilities.

Mental Health in Students Across the USA

Analysis of demographic and mental health data from students across 48 U.S. states. ETL processes, data balancing, and visualizations were used to uncover key trends by gender, status, and demographics, all documented in a Jupyter Notebook.


E-Commerce (Walmart) - Random Forest

Prediction of customer purchases using Machine Learning (Random Forest)


Healthcare SQL Reporting & Analysis

SQL analysis for healthcare management: patients, appointments, and costs.



Global Renewable Energy Trends (2020-2024)

This dashboard visualizes global renewable energy usage from 2020 to 2024, analyzing distribution by energy type, economic level, and subsidies, highlighting trends in clean energy adoption.
Note: The visualization is not compatible with mobile devices.

Credit Card Fraud Detection

A Random Forest model with undersampling and SMOTE was used to improve fraud detection, optimizing its performance through GridSearchCV and cross-validation.

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