Senior Consultant – Data Scientist                                                                               

5/2018 to Current

Ernst & Young Financial Business Advisory S.p.A. – Milano, Lombardia

·       Digital Marketing Analytics: analysis of classical metrics, funnel analysis, design and implementation of Machine Learning algorithms for customer’s digital profiling.

·       Support to the definition of website requirement, for user’s tracking and data lake storage.

·       Support to the definition of the new product’s launch strategy, by using insights and paths learned from digital data.

Data Analyst – Technical Quotation Specialist                                                          

09/2016 to 04/2018

Fiat Chrysler Automobiles – Torino, Piemonte

·       Design and implementation of statistical algorithms, for the prediction of future costs of after sales service contracts over veicles (extended warranty, maintenance plan).

·       Analysis of large amount of historical cost data, with the aim to validate and verify the predictive methods.

·       Collaboration to the creation of new products by managing and interpreting data already available into the Company, which can provide a baseline for the prediction of new costs.

·       Support the management of the Company with quantitative analysis, aimed at discovering relevant paths of expenses of contracts, over specific fleets of vehicles.

Skills

·       Decisional approach to problem solving

·       Analytical minded and strong expertise in finding paths and trends, in large amount of data

·       Mathematics, statistics, ML algorithms, predictive modelling and calculation skills

·       Data management and processing

·       Knowledge of computer languages; R, Python, MATLAB, SQL

·       Team working and team leadership

·       Strong communication skills

·       Self-motivated and enthusiast

Education Master Degree: Decisional Satistical Sciences – EuroBayes Project 2016 Sapienza Università di Roma – Roma, Lazio, Italia Strong theoretical and practical knowledge of several statistical methodologies such as Big Data analysis, Machine Learning, Deep Learning, Reinforcement Learning, Data mining, Image analysis, Spatial data modelling and Structural Equation modelling. Final project: “Analysis of spatial data in NBA professional basketball”. Final judgment: 110/110 “cum laude” Erasmus + Project: Bionformatics – Biostatistics 2014 University of Helsinki – Helsinki, Finlandia Implementation of statistical methodologies, such as Markovian methods and Bayesian inference, for nucleotide sequence data. Bachelor Degree: Statistics for Economy and Society 2013 Sapienza Università di Roma – Roma, Lazio, Italia Final project: “Estimate and verification of the Capital Asset Pricing Model”. Final judgment: 110/110 “cum laude”.