About Me
Hi, I am Marco from Italy.
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 time series forecasting, and
I am a Member of the International Institute of Forecasters.
I also hold multiple certifications related to the analysis and forecasting of
time series data. Recently I have enjoyed teaching professionals and university
students about time series analysis, machine learning, programming, and statistics.
I speak Italian, English and a little bit of French.
Have a look at my Curriculum Vitae!
Professional Experience
I am a Data Scientist with 9+ years of working experience.
I started to work as Junior Data Scientist in 2017, in an Italian multinational tourism company, Uvet AMEX GBT, and its airline company Blue Panorama. There, I learnt a ton of things related to programming in production and I had the opportunity to work with lot of different data related to business travel, pharmaceutical events, online bookings, hotels' reservations, and proprietary airline data.
In 2020, I started to work as a Data Scientist for T-Voice, a start-up company of the Triboo Group, where I worked as a Senior Consultant to develop client specific data analysis solutions, and I was responsible for the coordination of the R&D team.
In 2021, following an M&A operation, I became a Data Scientist in Blogmeter, a company of the Shibumi Group, where I helped to integrate machine learning solutions into the main applications of the company and coordinated the Product team.
In 2024 I moved to Wanan Luxury, an e-commerce fashion company, where I lead the time series forecasting area.
Throughout all my working experience I was responsible for the
development of time series forecasting models, both for internal and
clients needs.
I developed and maintained diverse statistical and machine learning models to
predict future 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, etc.
I 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.
I helped to integrate probabilistic methods to support more informed decisions.
Moreover, I 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.
Finally, I provided mentorship to junior colleagues, supporting their professional
growth and development in the field of forecasting.
Since 2022 I am also a Ph.D. Researcher in Statistics at the University of Milano Bicocca, where I am working on academic research projects related to time series forecasting.
Teaching Experience
Since 2019 I am Adjunct Professor at the University of Milan.
I teach Statistics and Mathematical Methods in few Bachelor’s degree
courses, and Time Series Forecasting, Statistical Learning and Coding
at the Master’s degree in Data Science.
Have a look at my teachings.
I also 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.
I like teaching, indeed, since 2018 I have helped more than 300
students with their exams, thesis and PhD projects, through private
lectures and support. I mainly teach econometrics, time series,
forecasting, programming, statistics and data science related topics.
I am a top teacher on Superprof Italia
for
Econometrics & Forecasting, and
Statistics, and
Artificial Intelligence.
Publications
In 2021 I published an R package related to the topic of behavioral finance
It is the first R package allowing R users to perform several types of
behavioral analysis.
The released version of the dispositionEffect
package is available on CRAN.
The software has been presented at the useR!2021 Conference
and it has been listed on the Top 40 New CRAN Packaes
on August 2021.
Since 2022 I am working academic research projects related to time series forecasting. In particular, I am going to publish few papers that focus on sustainable forecasting practices and the development of a high-performance forecasting system.
- Zanotti, 2026, On the forecast stability of global forecasting models
- Zanotti, 2026, Do global forecasting models require frequent retraining?
Education
I studied in Italy and Finland, where I lived for six months and I had amazing experiences.

I graduated cum laude in a Master’s degree in Quantitative Finance at the University of Milan, with a thesis related to time series forecasting.
In 2018, while working, I got a second level Master in Data Science.
Since 2022, I am a Ph.D. Researcher of Statistics at the University of Milano Bicocca. My research topics are time series forecasting, cross-learning, forecasting stability, time series foundation models (LLMs), and sustainable AI.
I always try to keep my knowledge improving, indeed, during the last five years I got many certifications related to data science and forecasting.
Sports & Hobbies
I was a footballer. I played in Italian minor championships until 22. I also like reading manga, playing board games, curling and footgolf.
Since 2020, I practice kite surf, an amazing water-board sport, and whenever I can I go kite surfing all around the world.

I also have a little friend named Milo, who is a very good companion for my adventures.
