Roberto Pellegrini
ML EngineerAI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
Senior Data Scientist | Deep Learning | Weather Forecasting | Recommendation Systems | Founder
Senior Data Scientist with a Ph.D. in Theoretical Physics from Torino University and postdoctoral experience at Swansea University and The University of Edinburgh. I have a deep understanding of Mathematics, Statistics, numerical algorithms, and programming, with more than ten years of experience developing machine learning and scientific software. At Amazon, I significantly enhanced their recommendation systems, driving substantial improvements in customer engagement and satisfaction and published some of my contributions in top conferences https://dl.acm.org/doi/abs/10.1145/3523227.3546753. At DXT Commodities, I built from scratch weather forecasting models, optimizing trading strategies in just a few months. My expertise spans machine learning, deep learning, weather forecasting, and recommendation systems. Key Areas of Expertise: - Weather Forecasting - Recommendation Systems - Machine Learning & Deep Learning - Scientific Software Development (C/C++, Python)
Università degli Studi di Torino
Doctor of Philosophy (Ph.D.), Theoretical Physics
January 1, 2011 – January 1, 2013
Università degli Studi di Torino
Master’s Degree, Theoretical Physics
January 1, 2007 – January 1, 2010
Università degli Studi di Torino
B.Sc. Physics, Physics
January 1, 2004 – January 1, 2007
DXT Commodities SA
Senior Data Scientist
January 1, 2024 – Present
Lugano, Ticino, Switzerland · On-site
Career Break
Full-time parenting
October 1, 2023 – January 1, 2024
Italy
TinkerTell
Co-founder
May 1, 2023 – Present
Amazon
Senior Machine Learning Scientist
October 1, 2020 – October 1, 2023
Amazon
Machine Learning Scientist
May 1, 2017 – October 1, 2020
The Co-op
Data Scientist Consultant
February 1, 2017 – March 1, 2017
Manchester, United Kingdom
ASI Data Science
Postdoctoral Fellow
January 1, 2017 – March 1, 2017
London, United Kingdom
The University of Edinburgh
Postdoctoral Research Fellow
October 1, 2014 – January 1, 2017
Swansea University
Postdoctoral Research Fellow
February 1, 2014 – September 1, 2014
Swansea, United Kingdom
Cultural Fit Analysis
The candidate's background in theoretical physics, followed by roles in data science and machine learning at diverse organizations (academia, consulting, large tech, commodities trading, startup), indicates a strong intellectual curiosity and adaptability. The transition from fundamental research to applied ML engineering aligns well with a culture that values innovation and problem-solving. The career break for parenting suggests a balanced perspective, which can contribute positively to team dynamics. The breadth of experience across different industries (e-commerce, finance, weather) suggests an ability to integrate into varied cultural environments.
Soft Skills & Operational Fit
The candidate's career progression from research fellow to senior roles at Amazon and DXT Commodities suggests strong adaptability and a drive for applying theoretical knowledge to real-world problems. The co-founder role at TinkerTell indicates entrepreneurial spirit and initiative. However, specific soft skills like leadership, teamwork, or communication are not explicitly detailed in the provided descriptions.