After spending a considerable amount of time using Python for data science, I decided to explore a new language for data analysis. This marked my introduction to Julia, and I chose to debut in the community by sharing the data analysis I conducted based on the happiness index score by countries.
Link to the repository and a post
Construction of a Dashboard in Streamlit and Python for Managing Statistics at the San Antonio Fire Department, aimed at streamlining command operations and facilitating the detection of potential improvements to dispatch procedures.
Link to the prototype
This was a capstone project for the Audacity Machine Learning Engineering course. I chose a dataset that ranked a vast list of anime along with attributes such as the number of episodes, genre, community members, etc. We trained various models to determine which anime series could potentially have a high ranking and be recommended to the general audience.
Link to repository and report
Being able to extract data from web sources is a valuable skill for a data scientist. Here, I built a Python program using Selenium to extract information from a public Chilean government webpage regarding dairy production. I extracted all the data from the tables and consolidated it into a single CSV file for data analysis.
You can read the detailed procedure on my blog or access a sample of this data through this link.
This project formed the cornerstone of my master's thesis. In this endeavor, I developed various Java models using CPLEX to address facility location models within a simulated relocation scenario. The project took into account that ambulances, firefighters, and the police in Chile are separate institutions with distinct characteristics, yet they exhibit a significant degree of mutual collaboration in response to various emergencies.
Link to the repository and report in spanish
This was a university project for the data science course and marked my first foray into this field. In this project, we chose to study different cities in Chile to understand their political trends in recent presidential elections and evaluate the correlations that exist with these cities.
Here I earn a certification for this academic poster in spanish