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MSc in Music and Acoustic Engineering at Politecnico di Milano, ML engineer at Gemmo.AI
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Politecnico di Milano
Data Scientist
June 30, 2026 – Present
HitSongPrediction
April 23, 2023 – October 14, 2025
Hit Song Prediction Model - Master Thesis in Music and Acoustic Engineering - Politecnico di Milano
View ProjectCMLS-HW3-Group11
May 5, 2021 – May 31, 2021
Homework 3 CMLS - Assignment 4 - Politecnico di Milano 2020/2021
View ProjectCMLS-HW2-Group11
May 3, 2021 – May 31, 2021
Homework 2 CMLS - Assignment 4 - Politecnico di Milano 2020/2021
View ProjectCMLS-HW1-Group11
April 8, 2021 – May 31, 2021
Homework 1 CMLS - Assignment 4 - Politecnico di Milano 2020/2021
View ProjectHarmonicTensionVisualizer
October 30, 2020 – February 18, 2021
Advanced Coding Tool and Methodologies & Computer Music Representation and Models - Politecnico di Milano - Music and Acoustic Engineering 2020/2021
View Projecting-sw-2020-cappella-castelli-corti
March 3, 2020 – Present
Progetto di ingegneria del software 2020
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, some of which are academic assignments. The 'Data Scientist' role at Politecnico di Milano is listed as current, which aligns with the target role. However, the experience level is 0, suggesting this is an entry-level or academic position. The breadth of skills is good, but depth in specific data science tools beyond Python/Jupyter is not clearly demonstrated. The focus on music and acoustic engineering projects indicates a specific interest area.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess soft skills like collaboration or problem-solving. The psychometric test score is 0, providing no insight into work attitude or stress handling. Operational fit cannot be fully determined without more information.