
Predicting Successful Plays in Football Using Machine Learning
- R
Last-year Statistics student in Montevideo, Uruguay. Focused on Data Science.
I am Lucca Frachelle, but everyone calls me Frache. Currently, I am in my final year of a degree in Statistics. My interest leans towards data science, exploring how data can tell stories and reveal hidden truths in numbers and trends.
Professionally, I work as a Data Analyst, where I develop interactive dashboards using Qlik and perform data analysis with Python. My role involves transforming raw data into actionable insights.
My projects include a cluster analysis on the correlation between GDP per capita and life expectancy, presented at the XI Academic Conference at FCEA, and the development of Machine Learning models to predict successful plays in football, using data from the 2022 and 2023 FIFA World Cups.
When I am not immersed in study or data, you can likely find me on chess.com, where I play chess at an average level. Additionally, I have a barista certification, which is a testament to my love for coffee and my hobby of learning and experimenting with new skills. Fundamentally, my curiosity is focused on exploring how data can enrich our lives, approaching everything with a relaxed but deeply passionate attitude.