Michele Pezza is an MSc Data Science student and Inferential Statistics Teaching Assistant with an 11-year background blending statistics, economics, and finance, graduated with honors from Sapienza University of Rome. Currently on a graduate exchange at the University at Buffalo (4.0 GPA), Michele focuses on machine learning applications in AI and healthcare and has hands-on project experience from protein function prediction to crop disease detection and language translation. He brings practical discipline from a safety-focused internship at the Italian Naval Academy and enjoys collaborating in diverse international teams. Passionate about ethically-driven, impact-oriented data work, Michele pairs rigorous quantitative training with a keen interest in translating models into real-world health and innovation outcomes.
11 years of coding experience
Master of Science - MS, Graduate Exchange Student Data Science, GPA 4.0, Master of Science - MS, Graduate Exchange Student Data Science, GPA 4.0 at University at Buffalo
Laurea Magistrale LM, Data Science, Laurea Magistrale LM, Data Science at Sapienza Università di Roma
High School Diploma, Cambridge IGCSE Scientific High School, 100 / 100, High School Diploma, Cambridge IGCSE Scientific High School, 100 / 100 at Manfredi Azzarita High School
Contributions:24 pushes, 3 branches in 1 year 7 months
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