After graduating in Economics from the University of Milano-Bicocca, I decided to start a new educational path in Data Science, at the same University.
For nearly four years, I have been improving my programming skills, trying to provide
solutions to tasks of the most varied types; all always aiming at the union of
technical skills and creativity in the proposed solution.
Lost in love with Data Visualization in all its forms.
I have always had a strong passion for mathematics and statistics, which
has attracted a great interest in the world of finance, born thanks to
the courses attended during the last year of the Bachelor's Degree.
Thanks to the Master's Degree Program I am developing a great interest
in areas such as Machine Learning and Deep Learning, with a focus on everything
related to the world of image processing.
The years of higher education have given me the opportunity to discover, through extra-curricular courses, the world of photography, making me a great fan of it.
March 2021
I work in the R&D branch of the Data & AI area, in which a number of research projects are carried out. These are aimed at developing products that meet certain needs of the client companies.
I have had the pleasure of working with important companies in national and international scenarios, such as Enel, Sky, Iren, Geox and Amplifon.
Main projects: Campaigns maximization,
Churn analysis, Image analysis and optimization, CRM and Strategy Analytics.
Main sectors: Energy & Utilities, Telco & Media, Fashion & Luxury,
Pharma & Healthcare.
April 2020 - March 2021
Curricular internship at the first Italian Martech company.
I currently work in the experimental branch, related to the development of innovative algorithms aimed at developing solutions for our client companies.
I have had the opportunity to work with companies such as Enel and Sky.
October 2018 - March 2021
Biennium dedicated to the understanding and enhancement of different types of data.
Study of all branches of Data Science, from Machine Learning to Deep Learning.
Great team work experience.
Thesis: "Methods and Algorithms for optimizing Creativities and their Performance in Marketing Campaigns".
GPA: 4.0 (110/110 cum laude)
September 2015 - September 2018
Treatment of economic subjects with a strong quantitative/statistical imprint, focus on financial courses during the third year.
Experience in University representation during the last year (CCD member).
Thesis: "Theories of expectations in economics from Keynes to Thaler".
GPA: 4.0 (110/110 cum laude)
September 2010 - July 2015
High school study path with focus on scientific subjects.
Experience in student representation during the fourth year and participation in several courses outside the lesson time.
Grade: A (92/100)
Always challenging myself, in order to know as much as I can.
From the courses faced during University: ML & DL, Decision Models, Data Analysis, Text Mining (NLP),
Time Series (Linear, Arima, UCM, RN), Computer Vision, Digital Marketing.
Python / R / C++ / SQL / HTML
Cloud Computing: GCP / AWS
Reporting: LATEX
Able to deal with lots of Python packages and libraries (ex.: Keras, Sklearn, OpenCV). Curious to learn other languages.
Tableau / Seaborn / Matplotlib / Plotly / GGPlot / Power BI
Keen on Data Visualization in all its forms. Love to mix all the instruments I have to reach high quality infographics.
From the courses faced during University: Financial Statement, Financial Markets, Financial Mathematics,
Statistics, Micro and Macroeconomics, Management, Public and Private Law.
Thanks to personal experience: Team Building and Working, Public Speaking, Adaptability,
Attention to details, Resourcefulness, Listening capabilities.
Spoken: Italian / English / French
Written: Italian / English
Passionate about all languages, willing to learn more and more, preferably on site.
Below you can find some examples of projects I have faced during my University formation.
Feel free to check them out!
Always willing to have a chat, listen and help!
If interested, do not hesitate to contact me, I will try to reply as soon as possible.
Just write me!
