Dr. Paolo Risso

Plan and supervision of SAS and SQL programmer team’s activities. Collaboration among other units, belonging different company sectors. Ensure proper development of SAS and SQL programs and utilities for study specific data cleaning and data management. Define requirements to improve existing tools and contribute to their development and/or validation. Establish and maintain SOPs related to unit area of influence. Contribution to hiring and on-boarding of new associates. Mentor for junior staff.

I followed projects on different sectors: media, retail, insurance; led a group of data scientist and programmers; tutored junior figures. Main projects: Creation data warehouse system to reconcile multiple heterogeneous sources, to track customer behavior,loyalty and satisfaction. Design, prototype, development of an algorithm to discover fraud events with deep learning on customers images. Design, prototype development of a recommendation engine for seasonal sold items to be used by sales department.

Consultant for several projects related to finance sector. Main activities: updating, data extraction, transformation and loading to data warehouse, data analysis, testing, trending. Experience in Data analysis and Reporting. SAS experience includes detailed knowledge of statistical analysis of financial data and in the production of reports, tables, graphs and listing. SAS/BASE, SAS/SQL, SAS/MACRO, SAS/Enterprise Guide. Actual Project: Deutsche Bank – Credit Risk Management - Milan

Researcher and developer of geophysical models for an ENI project involving High Performance Computing software development in FORTRAN, C, C++, PYTHON, with MPI and OPENMP API. Experience in development and code tuning in order to optimise speed and results.

STATISTICIAN AND DATA MANAGER – Design, Execution and Results Analysis on many research projects related to bipolar disorder and pharmacoepidemiology on over two decades 10M. subjects data set. EXCEL, SAS, STATA, SPSS, R, SQL

Big Data, Statistics, MonteCarlo, programming, Physics. Thesis: Analysis of Solar Neutrino Spectrum of 7Be with Borexino detector data using Monte Carlo and fitting techniques. C, C++, FORTRAN, R

Data Analysis, Data Acquisition, Programming, Statistics, Physics, Particle Physics. Thesis: Development and application of software algorithms to identify, in efficient and fast way, secondary decay vertexes for a real time analysis of secondary level trigger of ATLAS. C, C++

Mathematics, Physics, Statistics, Programming. Thesis: Analysis, related to Principal Component Analysis, in order to study the predicting abilities of the method. MATLAB, C++