Netflix Analysis

Collaborating with a dynamic team, we undertook this project during my first course in Introduction to Data Science. Leveraging the power of Python, we meticulously explored and debugged Netflix data, uncovering valuable insights. Subsequently, utilizing Tableau, we transformed our findings into cap

Statistical Analysis of Living Conditions and Poverty in Peru

I actively contributed to a statistical analysis project focused on evaluating living conditions and poverty in Peru as part of the Statistics and Probability II course. We utilized government data and nati

Taylor Swift And Music Industry: Data Analysis

The project focuses on analyzing the influence of Taylor Swift on the music industry, my responsibility was based on the ETL process and the assembly of the data pipeline. My job consisted of carrying out different data extraction methods to collect relevant information about Swift's influence.

Logistic Function Fitting for E. coli Infection Risk Prediction

This project involves the application of machine learning techniques to predict the risk of E. coli infection in patients with septic shock. By fitting logistic functions to the data, we aim to evaluate the efficiency of the predictive model.