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 - Full remote
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 - Digital Services - Hybrid
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 - Digital Services - Full remote
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 - Hybrid
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
University of Milan - Hybrid
N/A
current - 2019
I teach modern time series forecasting, machine learning, coding, and statistics.
Professional Trainer
Business Consultancy - Hybrid
N/A
current - 2019
I offer consultancy and training about forecasting, machine learning, and the development of business specific statistical models.
Publications
On the retraining frequency of global models in retail demand forecasting
University of Milano-Bicocca
N/A
2025
The effects of retraining on the stability of global models in retail demand forecasting.
University of Milano-Bicocca
N/A
2025
dispositionEffect
CRAN, R Software
N/A
2021
Certificates
• Certified Forecaster and Demand Planner, ISCEA
• High-Performance Time Series Forecasting, BS University
• Time Series Analysis, CAC IIT
• Deep Learning for Sequence Modelling and Times Series, Deep Learning Italia
• 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, videogames, curling and footgolf. I love listening folk and country music.
Made with R and pagedown
Last updated on December 2025
Awards
International Symposium on Forecasting Award
International Institute of Forecasters
Beijin, China
2025
Education
Ph.D., Statistics
University of Milano-Bicocca
Milan, Italy
current - 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
B.Sc., Political Sciences and International Relations
University of Parma
ERASMUS, University of Lapland, Rovaniemi, Finland
Parma, Italy
2014 - 2011
Personal Competences
Organisational and Management
N/A
N/A
N/A
- 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