Help & Supportcareers@gravityer.com
Data Scientist at Indigo AI
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
I'm a researcher at University of Milano-Bicocca My focus lies at the intersection between Machine Learning and Bayesian Nonparametrics. For more information about my research, have a look at my website https://sites.google.com/view/marioberaha !
USI Università della Svizzera italiana
Winter School, Uncertainty Quantification
January 1, 2016 – January 1, 2016
Politecnico di Milano
Master Degree, Mathematical Engineering-Applied Statistics
January 1, 2015 – January 1, 2018
Politecnico di Milano
Bachelor of Engineering (B.E.), Mathematical Engineering
January 1, 2012 – January 1, 2015
Amherst College
Summer program in Public Speaking, Summer Program in Finance
January 1, 2011 – January 1, 2011
Liceo Scientifico Leonardo da Vinci
Maturità Scientifica PNI, Liceo Scientifico PNI
January 1, 2008 – January 1, 2012
Università degli Studi di Milano-Bicocca
Tenure Track Assistant Professor (RTT)
February 1, 2025 – Present
Politecnico di Milano
Assistant Professor (RTDa)
December 1, 2023 – March 1, 2025
Università degli Studi di Torino
Research Scholar
September 1, 2022 – January 1, 2024
Politecnico di Milano
PHD Researcher
November 1, 2018 – September 1, 2022
Milan Area, Italy
Indigo AI
Data Scientist
May 1, 2018 – October 1, 2018
Brother Tongue
Intern in Big Data and Machine Learning
May 1, 2017 – November 1, 2017
Parigi, Francia
Linear Regression Models with PDE Regoularization
September 1, 2016 – Present
Expanded the R package "fdaPDE", introducing surface mesh over Riemaniann manifolds and mesh semplification
Urbanscope
January 1, 2016 – Present
Led an intensive analysis on the multiculturalism and multilingualism in the city of Milano, particoularly focusing on the effect that was provided by EXPO 2015
Biham Middleton Levy Traffic Simulator
September 1, 2015 – March 1, 2016
C++ Implementation of the BML Traffic Simulator
First Certificate
British Council
June 24, 2026 – Present
Cultural Fit Analysis
The candidate's background is heavily academic and research-oriented, with significant time spent in professorial and research scholar roles. While there are two industry roles (Data Scientist, Intern), they are relatively short-term compared to the academic tenure. The projects listed are personal and academic in nature. This profile suggests a strong inclination towards theoretical and research challenges. For a 'Data Analyst' role, the fit depends on whether the role emphasizes deep statistical modeling and research or more business-oriented data analysis, reporting, and stakeholder communication. The lack of explicit business domain experience or project diversity beyond academic research might be a cultural fit consideration for a typical industry data analyst position.
Soft Skills & Operational Fit
The candidate's academic and research background suggests strong analytical and problem-solving skills. Experience in leading analysis projects (Urbanscope) indicates potential for independent work and project ownership. The descriptions of past roles, while detailed technically, do not explicitly highlight collaboration or communication in a team setting, which are crucial for operational fit.