Lorenzo Schiavon

Lorenzo Schiavon

Research fellow @ Ca' Foscari University of Venice

Curriculum Vitae

Current position
  • Research fellow (RTDa); Department of Economics, Ca' Foscari University of Venice, 2023-present.

Work experience
  • 2022-2023: Postdoctoral research fellow at University of Padova (Padova).
  • 2021-2023: Data science consultant at GEDI Gruppo Editoriale (Turin).
  • 2019: Consultant at Mercurius BI s.r.l. (Milan).
  • 2018-2019: External watcher at Smartodds Ltd (Padua).
  • 2016: Internship at Sanmarco Informatica s.p.a. (Grisignano di Zocco).

Education
  • MBA - Science & Management program; Collège des Ingénieurs, Turin., 2019-2022.
  • Ph.D. in Statistical Sciences; University of Padova, 2018-2022.
    • Thesis: Bayesian infinite factorization methods with applications to tracking data in football
  • M.S. in Statistical Sciences; University of Padova, 2016-2018.
    • Thesis: Bias reduction in a fixed effects model for Expected Goals
  • B.S. in Statistics, Economics and Finance; University of Padova, 2013-2016.
    •  Thesis: Human capital and economic growth: the role of heterogeneity among groups of countries

Teaching experience
  • 2024: Advanced Econometrics - Module V: Factor Models. PhD in Economics, Ca’ Foscari University of Venice.
  • 2024: Statistics I - Practice. Bachelor's degree in International Trade and Tourism, Ca’ Foscari University of Venice.
  • 2024: Social and Health Statistics - module I. PhD in Public Administration, Ca’ Foscari University of Venice.
  • 2024: Machine Learning Fundamentals. Bachelor's degree in Management and Data Science. H-FARM College.
  • 2023: Statistical Learning for Data Science - module I. Master's degree in Data analytics for Business and Society. Ca' Foscari University of Venice.
  • 2023: Machine Learning: Zero to Hero. Enhancing course for Bachelors. H-FARM College.
  • 2023: Teaching assistant of Statistics (Advanced). Master's degree in Statistical Sciences. University of Padova.
  • 2023: Quantitative and qualitative methods. Bachelor's degree in Digital Business and Data Science. H-FARM College.
  • 2022: Teaching assistant of Multidimensional Data Analysis. Bachelor's degree in Statistics for Technologies and Sciences. University of Padova.
  • 2021: Co-supervisor of Master's degree thesis at University of Padova.
  • 2017-2018: Academic Tutor at University of Padova.

Workshops
  • 2023: Effective Data Visualization. December, 5. H-FARM College.
  • 2023: Bootstrap introduction. February 16-23-24. AB Analitica.