Alessandra Meriani

EDUCATION

• November 2023 – Present: University of Bologna
  PhD in Public Governance, Management and Policy
  Department of Statistical Sciences “Paolo Fortunati” and the Department of Agricultural and Food Sciences (DISTAL)
  Research focus: Modeling of food consumption behaviors, strategies for reducing food waste, and the analysis of synergies and trade-offs between health, sustainability, and consumer choices.
  

• May 2025 – June 2025: University of Helsinki – Una Europa PhD Summer School
  PhD Summer School Programme on Sustainable Food Systems and Protein Transition
  Activities: Interdisciplinary workshops, simulations, Food Systems Fresk, practical labs on planetary boundaries, food behaviors, and strategies for dietary transition toward healthy and sustainable patterns.
  

• September 2021– September 2023: Department of Statistical Sciences “Paolo Fortunati”, Second cycle degree/ International Master in Statistics, Economics and Business Curriculum “Business Analytics”.

Graduation date: 15^th September 2023

Thesis Title: "Empirical analysis on the holistic phenomenon of permaculture through the application  of advanced statistical and data mining techniques on web-retrieved data"

Supervisor: Ida D’Attoma

Subject: Data Mining for Business and Market Research

Final grade: 110 summa cum laude / 110

• September 2018 - July 2021: University of Bologna, Faculty of Philosophy and Communications, Degree in "Communication science".

Graduation date: 15^th July 2021

Thesis title: “Proposta di un metodo quanti-qualitativo di comprensione e trattamento valoriale del cliente per l’azienda data-driven” (“Proposal of a quanti-qualitative method of understanding and value treatment of the customer for the data-driven company”).

Supervisor: Furio Camillo

Subject: Quantitative Methods for Communication and Marketing (SSD: SECS-S/03)

Final grade: 110/110

• September 2013-July 2018: Liceo Scientifico "Margherita Hack" of Baronissi (SA), High School Diploma (scientific studies), full score (100 cum laude/100).

WORK EXPERIENCES IN STATISTICAL FIELD

• 2022 – 2024 Data Engeneer at GFT Technologies.
• 2021 – 2021 Internship in the statistical research group ‘Data Science Lab’, Bologna
• 2020 - 2022 Collaborations with Prof. Furio Camillo for projects in the fields of statistics and semiotics.

SKILLS:

• Programming software and coding: R – SAS OnDemand – SAS Enterprise Miner – Stata – SQL – Denodo (VQL)
• Data Visualization Tools: Tableau - PowerBI

LANGUAGES:

• Italian: Mother tongue
• English: Fluent
• French: Good