I am a graduate student at IFT - UNESP working on Quantum Chromodynamics (QCD). I have more than four years of programming experience and I'm very interested in emerging technologies like generative artifical intelligence and quantum computing. Most of my work is available on public repositories on GitHub.
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This project focuses on forecasting weather conditions using Facebook Prophet, the primary objective is to predict future weather patterns based on historical weather data, with a specific emphasis on optimizing forecast accuracy and computational efficiency for large datasets.
The goal of this project is to optimize solar power generation with machine learning by analyzing the environmental factors that influence the efficiency of solar panels. A key focus is on the impact of precipitation on generated solar power. By understanding this relationship, we can better predict and optimize solar power generation under varying weather conditions.
This project undertakes a sentiment analysis to compare the audience’s emotional responses towards movie directors. An analysis of movie reviews made by users at Letterboxd is carried out, aiming to explore how the sentiments differ for directors in different genres and levels of popularity.
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