azank7173,Felipe_Azank,github

👩‍💻 About Me

💻: Computer Science and Engineering @ Politecnico di Milano 🇮🇹 (Master of Science)
⚙️: Mechatronics Engineering @ Escola Politécnica da Universidade de São Paulo 🇧🇷
🧠: Emeritus member of @TuringUSP, Data Science group of University of São Paulo. Currently member of Polimi Data Scientists (PMDS)
👥: Highly interested in using Data Science to elaborate business decisions and to drive inovation
🗒️: Love writting Medium Posts about Data Science and Machine Learning in portuguese (here)
📫: You may reach me at LinkedIn

ARARA project - LLM for education: Streamlit application that receives PDF documents from lectures and uses GPT3.5 engine in order to create interactive questions and aid for students, without substitution of their critical thinking abilities.
Data Science Courses, Notebooks and Classes: Data Science Contents that I developted at Turing USP. Including, Deep Learning, Data Analysis, Time Series prediction, Model interpretability and much more.
Rotten Scrapper Application: Real-Time Analysis application made by scrapping Rotten Tomatoes Movies (deployed on Streamlit).
GraduatiON - Website for Undergrads: Website developted with Django in order to create a safe space in which students and professor can interact and evaluate college level courses.
Sage - IoT pill dispenser: Code development of an IoT system that interacts with a pill dispenser in order to follow and control medicine disposability
Locaturing - Content based recomendation system for movies: Application created with dash that makes movie recommendations based in a selected previous movie, the approach is content-based and done using string concatenation and cosine similarity. In the application, it is possible to choose the weights of each feature to consider in the decision (i.e Director, Cast, Theme, etc).