I am a graduate Statistics student developing analytical and quantitative skills to move into applied data work.
A selection of academic projects and practice work that demonstrate statistical modeling, data analysis, and related programming skills completed during my Master's program.
Modeled score variance across exam difficulty tiers using Kernel Density Estimation (KDE) and identified high-risk demographic clusters linked to severe sleep deprivation. Delivered an end-to-end interactive Tableau dashboard supported by custom multi-variable SQL extraction queries.
Analyzed regional transmission dynamics across 21 Italian administrative areas, identifying logarithmic growth rates and outbreak peaks.
I am a graduate Statistics student developing analytical and quantitative skills to move into applied data work.
I am Francesco Bagnini, a Master's student in Statistics preparing to start my career. I have limited formal work experience and I am focused on building technical skills and project experience as I finish my graduate studies.
Experience
Data Analyst Intern
ISTAT (Italian National Institute of Statistics) · May 2026 – July 2026
Field Survey & Data Collector
Modus (for Unicoop Firenze) · Sept 2023 – Apr 2024
Logistics & Operations Specialist
Classervices · Jan 2023 – Jan 2025[cite: 8, 9]
Education
Università degli Studi di Firenze
MSc in Statistics and Data Science
Università degli Studi di Firenze
BSc in Statistics (Laurea Triennale) · Class of 2024
Skills
Modeled score variance across exam difficulty tiers using Kernel Density Estimation (KDE) and identified high-risk demographic clusters linked to severe sleep deprivation. Delivered an end-to-end interactive Tableau dashboard supported by custom multi-variable SQL extraction queries.
Analyzed regional transmission dynamics across 21 Italian administrative areas, identifying logarithmic growth rates and outbreak peaks.