Carlo Santambrogio
Data Scientist - Forecasting Analyst · Con Esperienza
Data Scientist, Time Series Forecasting, Machine Learning, Python, SQL, MATLAB, AWS S3
Disponibile in 20 giorni.
Profilo Professionale
Data Scientist con esperienza in Time Series Forecasting e Statistical Modeling. Specializzato in Machine Learning e Deep Learning, con competenze in Python, SQL e MATLAB. Ha conseguito un M.Sc. in Matematica con tesi su metodi di apprendimento bilevel. Parla italiano a livello madrelingua e inglese a livello professionale.
Esperienza
Time Series & Forecasting
REPOWER ITALIA
in Milan, Italy10/2023 - in corso
- Developed forecasting models integrated into daily power and gas consumption and renewables production trading workflows.
- Developed MGP price forecasting models in Italian Market Areas.
- Delivered model outputs used by traders and analysts to inform strategies in day-ahead and intra-day energy markets.
- Embedded machine learning forecasts into operational pipelines.
Research Internship
INRIA / CNRS – Laboratoire I3S
in Sophia-Antipolis, France03/2023 - 09/2023
- Conducted a 6-month research internship focused on applied bilevel optimization methods for automatic parameter selection in imaging problems.
- Designed and validated whiteness-based bilevel learning models.
- Translated advanced mathematical and statistical theory into practical numerical algorithms.
- Applied data analysis and optimization techniques to high-dimensional imaging datasets.
- Co-authored a peer-reviewed research paper.
Formazione
Università degli Studi dell’Insubria, Como
Livello: M.Sc. in Mathematics (Votazione: 102/110)
2020 - 2023
Università degli Studi dell’Insubria, Como
Livello: B.Sc. in Mathematics
2017 - 2020
Lingue
Italiano
C2 - Madrelingua
Inglese
B2 - Intermedio avanzato
Competenze
Competenze lavorative
Time Series Forecasting, Statistical Modeling, Optimization, Classical ML, Gradient Boosting (XGBoost, LightGBM), Deep Learning, Python, SQL, MATLAB, Git, LaTeX, Pandas, PySpark, Scikit-Learn, NumPy, SciPy, TensorFlow, PyODBC, boto3, Tableau, Streamlit, AWS S3