PERSONAL INFORMATION
Interdisciplinary background combining sociology and advanced statistics, with 4+ years of experience as Data Engineer. Through university research projects, I have developed experimental statistics for various institutional stakeholders, such as the work conducted for the Italian National Institute of Statistics (ISTAT) using capture-recapture methods and spatial models, currently under publication. Certified skills in SAS, Stata, Python, R, ArcGIS, UCINet with experience managing complex datasets.
EDUCATION
University of Milano Bicocca Milano, IT
M.A. Sociology (Analysis of social processes) (September 2023 – 13 November 2025)
Thesis: The European Union from Federalist Origins to Contemporary Challenges. Balancing Society, Market and Governance Systems
Advisor: Prof. Dr. Lavinia Bufulco
University of Bologna Alma Mater Bologna, IT
M.A. Statistics (Quantitative Methods for Economic Decisions) (Sept 2019 – 14 Dec 2022)
Thesis: Capture-recapture and Spatial Models: the case of Trafficking of Human
Beings
Advisor: Prof. Dr. Rosa Bernardini Papalia
University of Superior School of Sant’Anna Pisa, IT
Seasonal School, IACH – Innovation in Health Care: Strategies, Performance and Data
Management (September 2021)
Objective: Learn about innovations in health care and propose a solution to the problem of inequality across the country
University of Pisa Pisa, IT
Summer School, Sociology and Methodology of Research (7 December 2018)
Objective: The Grounded Theory, theories and applications to actual cases
Speakers: Dr. Kathy Charmaz, Dr. David Altheide, Dr. Andrea Salvini, and others
University of Pisa Pisa, IT
B.A. Sociology and Methodology of Research (September 2015 – November 2018)
Thesis: The Third Sector Reform, comparing social promotion (APS) and voluntary associations (OdV) as community building
Advisor: Dr. Andrea Salvini
RESEARCH EXPERIENCES
University of Milano Bicocca Milano, IT
Research Intern, Department of Excellence in Sociology (December 2024 – April 2025)
- Designed innovative population estimation methodology for City of Milan integrating machine learning models, LiDAR data, and 3D orthographic imagery to map realistic population density across urban areas
- Proposed solution enabling Milan's municipal government to optimize resource allocation and service distribution based on actual resident and visitor traffic patterns
- Conducted systematic literature review analyzing population estimation methodologies and comparing traditional census approaches with emerging geospatial techniques
Ministry of Education, University and Research Rome, IT
Intern, Office of Statistics and Information Heritage (October 2021 – March 2022)
- Conducted quantitative analysis of the Italian school system, comparing schools according to quality standards and effectiveness in public fund allocation; particular emphasis on comparative analysis aggregated by different school types (public/private).
Italian National Institute of Statistics (ISTAT) Rome, IT
Research Intern, Department for Gender Equality (February 2021 – December 2021)
- Systematically reviewed human trafficking estimation methodologies across international literature, identifying optimal capture-recapture approaches that informed subsequent experimental statistics development
- Developed experimental statistics methodology for estimating hidden populations of human trafficking victims, integrating three confidential datasets from different institutional sources using advanced capture-recapture models and successfully overcoming data secrecy constraints to produce the first comprehensive victim count estimates for the Italian context.
- Enhanced methodology through spatial regression modeling to isolate model error components and identify geographic trafficking patterns, confirming the existence of trafficking routes consistent with established sociological knowledge of the phenomenon (thesis work currently under publication)
University of Pisa in partnership with CESVOT Pisa, IT
Research Intern, Sociology (January 2018 – September 2018)
- Conducted in-depth interviews with third sector association directors using CATI and CAWI methodologies, investigating organizational histories, community needs assessment, inter-organizational networks and partnerships, and funding structures to map the ecosystem of civil society organizations in Tuscany
- Integrated quantitative and qualitative analysis to examine Third Sector Reform outcomes, comparing traditional vs. APS organizations' community building capacity and regulatory adaptation strategies
CERTIFICATIONS
SAS Software Certified Professional online
SAS Viya Programming Specialist August 2023
SAS Software Certified Professional online
SAS Base Programming Specialist August 2023
John Hopkins University online
Certification, R Programming September 2021
Global Campus of Human Rights online
Certification: Counter Human Trafficking in Southeast Asia December 2022
Objective: Know the regulatory context and actors, recognize the victims and the economic-environmental fragilities of their home context, law enforcement actions, develop estimates and analysis on the phenomenon overcoming difficulties
LANGUAGES
- Italian (native speaker)
- English (C1)
- French (B2)
SKILLS
SAS | R | Stata | SPSS | Gretl | SQL | Python | ArcGIS | QGis | BERT architecture | Zeeschuimer | Gephi | UCINet | SAS Viya
