Main
Core Skills
High experience in time series modeling and forecasting, ML modeling and text mining
Languages
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
Rome, Italy
2025 - 2024
- Led the company’s time series forecasting projects
- Coordinated and contributed to the development of a forecasting tool to predict future demand for tens of thousands item-level (SKUs) time series across several markets worldwide, and with different product hierarchies, resulting in increased forecasting accuracy and efficiency
- Integrated probabilistic methods to support more informed inventory decisions
- Designed and developed an app for evaluating forecasting experiments, enhancing reliability of the analyses
- Provided mentorship to junior colleagues, supporting their professional growth and development in the field of forecasting
Data Scientist
Blogmeter (Shibumi Group) - Digital Services
Milan, Italy
2024 - 2021
- Integrated machine learning solutions into the main applications of the company
- Developed an anomaly detection solution to promptly communicate relevant events to the clients
- Coordinated the Product team
Data Scientist
T-Voice (Triboo Group) - Digital Services
Milan, Italy
2021 - 2020
- Contributed to the development of an AI platform for the analysis of textual data
- Effectively incorporated text data into forecasting models
- Coordinated the R&D team
Junior Data Scientist
Uvet Amex GBT - Tourism and Aviation
Milan, Italy
2020 - 2017
- Developed and maintained diverse statistical and machine learning models to predict: sales at different aggregations to support strategic decisions; daily inbound calls to optimize scheduling hours; air passenger demand over several destinations to support aircraft planning; business car rental demand to support fleets management
- Successfully improved the approach to forecasting, resulting in a significant reduction of errors and facilitating the faster adoption of machine learning solutions by the business
- Implemented an anomaly detection system to signal possible congestions in the company’s reservation systems
- Developed econometric models to measure key drivers of business travel and tourism
- Supported automation processes implementing OCR solutions
Programming
BI & Visualization
Databases
Versioning
CI / CD
Cloud
Project Management
Operating Systems
Teaching Experience
Adjunct Professor
N/A
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
Professional Trainer
N/A
N/A
current - 2019
I offer consultancy and training about forecasting, machine learning, and the development of business specific statistical models. I helped several companies, like Luxottica, Mediaworld, and Blue Panorama Airlines, to improve their forecasting processes and tools
Publications
On the forecast stability of global forecasting models
University of Milano-Bicocca
N/A
2026
Do global forecasting models require frequent retraining?
University of Milano-Bicocca
N/A
2026
dispositionEffect
CRAN, R Software
N/A
2021
Certificates
• High-Performance Time Series Forecasting, BS University
• Time Series Analysis, CAC IIT
Python for Machine Learning and APIs, BS University
• Python for Data Science Automation, BS University
• Shiny Web Applications, BS University
• Macroeconometric Foreasting, IMF
Spoorts & Hobbies
I was a footballer. I played in Italian minor championships until 22.
Now I practice kitesurf, an amazing waterboard sport, and I do canicross with my little friend Milo.
I like manga, boardgames, curling and footgolf.
Made with R and pagedown.
Last updated on March 2025
Conferences & Seminars
On the forecast stability of global forecasting models
International Symposium on Forecasting
Montreal, Canada
2026
Do global forecasting models require frequent retraining?
International Symposium on Forecasting
Beijin, China
2025
Computing Disposition Effect on Financial Market Data
useR! 2021 Conference
Remote
2021
Education
Ph.D., Statistics
University of Milano-Bicocca
Milan, Italy
2026 - 2022
Research on time series forecasting, cross-learning, forecasting stability, time series foundation models (LLMs), and sustainable AI
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
Grade: 110/110 cum laude
B.Sc., Political Sciences and International Relations
University of Parma
ERASMUS, University of Lapland, Rovaniemi, Finland
Parma, Italy
2014 - 2011
Grade: 104/110
Personal Competences
Organisational and Management
N/A
N/A
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- Project management: I coordinated the development of different projects, from analysis to implementation
- People management: I coordinated the activities of junior colleagues, supervising and guiding in their professional develpment
- High relational and communication skills
- High resistance to stress
- Since 2020 I proficiently work from remote