Veneto Region Health Data, Azienda Zero• Conducted a different spectrum of activities concerning Data Warehouse optimization and ad hoc data extraction queries.• Utilized SAS and SQL on 50+ different data streams regarding the whole Health Data sector of the Veneto Region with an order of magnitude of 4.9 mil inhabitants.

More details on the consulting projects below.

• Preprocessed unstructured data, calculated 200+ main Key Risk Indicators (KRI) describing the audit risk for each of the 70 banks of the CCB Group and gave feedback to improve raw data nomenclature for optimizing the preprocessing phase by cutting ambiguities and irregularities.• Designed and implemented a PowerBI dashboard employing KRIs as a monitoring tool for comparing the Groups banks, both for comparing similar banks belonging to the same cluster, both for drilling through specific audit indicators.• Presented weekly progress to executives providing actionable and analytical insights for a more strategic project planning which reduced their auditing process time.

• Implemented a new feature expanding the visualization module of the WellcomeML library, a python package containing a set of utility functions that use machine learning for reading, processing and classifying academic text data.• Utilized Python and Bokeh for creating a visualization tool that interactively displays the results provided by WellcomeML text clustering algorithm.• Presented weekly results and wrote documentation detailing feature final report.

• Analyzed data from 3 radiology scanners with the principal objectives of creating a predictive model for the dose quantity emitted by the machine.• Detected anomalies in the radiation quantity with algorithms of outliers detection.

Acceleration of a project for Contarina Spa.