I have worked on data science models applied to both health and energy, and developed deep learning solutions for photovoltaic forecasting. Alongside my technical training, I founded a cultural club in Milan focused on current affairs, innovation, and the relationship between science and society. I value independent thinking, cross-disciplinary dialogue, and real-world impact, and I aim to contribute to ethically driven, innovative projects at the intersection of technology and human understanding. Technical: Python, TensorFlow/Keras, Time-Series Forecasting, Signal Processing. Analytical: Model Validation, Reproducible Research, Data Visualization. Soft: Independent Thinking, Cross-disciplinary Communication, Leadership.…

Giacomo Archidi

I have worked on data science models applied to both health and energy, and developed deep learning solutions for photovoltaic forecasting. Alongside my technical training, I founded a cultural club in Milan focused on current affairs, innovation, and the relationship between science and society. I value independent thinking, cross-disciplinary dialogue, and real-world impact, and I aim to contribute to ethically driven, innovative projects at the intersection of technology and human understanding. Technical: Python, TensorFlow/Keras, Time-Series Forecasting, Signal Processing. Analytical: Model Validation, Reproducible Research, Data Visualization. Soft: Independent Thinking, Cross-disciplinary Communication, Leadership.…

Available to hire

I have worked on data science models applied to both health and energy, and developed deep learning solutions for photovoltaic forecasting. Alongside my technical training, I founded a cultural club in Milan focused on current affairs, innovation, and the relationship between science and society.

I value independent thinking, cross-disciplinary dialogue, and real-world impact, and I aim to contribute to ethically driven, innovative projects at the intersection of technology and human understanding. Technical: Python, TensorFlow/Keras, Time-Series Forecasting, Signal Processing. Analytical: Model Validation, Reproducible Research, Data Visualization. Soft: Independent Thinking, Cross-disciplinary Communication, Leadership.

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Language

Italian
Fluent
English
Fluent
Spanish; Castilian
Advanced

Work Experience

Founder & Director at ARGO Cultural Club
September 1, 2016 - Present
Founded and led a Milan-based cultural club focused on current arts, innovation, and the relationship between science and society; organized talks, debates, and roundtables on AI ethics, global issues, neuroscience, history, and technology; built and managed a youth community and partnerships with external speakers.

Education

Bachelor's Degree at University of Milan-Bicocca
January 11, 2030 - June 2, 2021
Master of Science in Data Science at EIT Digital Master School, University of Turku
January 11, 2030 - November 27, 2024
High School Diploma at Liceo Scientifico Enrico Fermi, Milan
January 11, 2030 - September 18, 2025
Bachelor of Science in Physics at University of Milano-Bicocca
January 11, 2030 - November 27, 2024
MSc in Data Science at EIT Digital Master School, University of Turku
January 11, 2030 - July 1, 2025

Qualifications

IELTS Academic Band 8 (C1)
January 11, 2030 - September 18, 2025
Data Scientist Career Track (365 Data Science)
January 11, 2030 - September 18, 2025

Industry Experience

Software & Internet, Energy & Utilities, Healthcare, Education, Media & Entertainment, Professional Services
    Machine Learning for Photovoltaic Energy Optimization
    This project presents my Bachelor’s thesis in Physics, focused on applying machine learning techniques to optimize photovoltaic energy production. The work explores the integration of statistical modeling, Python-based data pipelines, and predictive algorithms to enhance solar panel efficiency under varying environmental conditions. Key aspects include: • Development of a supervised learning model in Python to forecast energy output. • Use of data preprocessing and feature engineering for solar radiation and temperature variables. • Evaluation of model performance across different scenarios using metrics such as RMSE and R². • Exploration of the real-world applicability of ML models in renewable energy systems. The thesis combines rigorous academic research with hands-on data science implementation, resulting in both technical insights and practical outcomes for sustainable energy applications. datascience machinelearning python renewableenergy research solarenergy physics…