Main
Core Skills
High experience in time series modeling and forecasting, ML modeling and text mining
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Languages
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Marco Zanotti
I am a machine learning engineer and data scientist with broad knowledge in time series analysis, forecasting, anomaly detection, and econometrics.
I specialized in developing and enhancing business forecasting processes and practices. Over the years I developed and contributed to core forecasting systems in sectors like e-commerce fashion, airline, tourism and travel. I also guided and mentored junior colleagues in developing predictive models that enable accurate forecasting.
I am passionate about advancing the field of forecasting and fostering collaboration between academia and industry. I do academic work in forecasting, and I am a member of the International Institute of Forecasters.
Recently I have enjoyed teaching professionals and university students about time series analysis, machine learning, programming, and statistics.
Professional Experience
Data Scientist, Forecasting Specialist
Wanan Luxury - E-commerce Fashion - Full remote
Rome, Italy
2025 - 2024
Data Scientist
Blogmeter - Digital Services - Hybrid
Milan, Italy
2024 - 2021
Data Scientist
T-Voice - Digital Services - Full remote
Milan, Italy
2021 - 2020
Junior Data Scientist
Uvet Amex GBT - Tourism and Aviation - Hybrid
Milan, Italy
2020 - 2017
Teaching Experience
Adjunct Professor
Education - Hybrid
N/A
current - 2019
I teach modern time series forecasting, machine learning, coding, and statistics in both Master and Bachelor degrees at the University of Milan, and in other major italian universities
Education
Ph.D., Statistics
University of Milano-Bicocca
Milan, Italy
current - 2022
Post-graduate, Data Science for Economics, Business and Finance
University of Milan
Milan, Italy
2018
M.Sc., Economics and Finance
University of Milan
Milan, Italy
2017 - 2015