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PhD in Computer Science

University of Cambridge

MSc in Economic and Social Sciences

Bocconi University

• Dissertation: "Deep Learning: A Statistical Perspective"

BSc in Economics and Management

Università del Sacro Cuore

• Dissertation: "Market Sentiment and Monetary Policy"

Scientific High School Diploma

Liceo Scientifico "Enrico Mattei" (Castrovillari)

• Dissertation: "Market Sentiment and Monetary Policy"

Applied Scientist intern

Amazon AWS - AI Labs

NLP Engineer

Theia Insights

• Development of NER annotation pipeline
• Development and training of transformer-based models for NER

Research Assistant

Bocconi Institute for Data Science and Analytics

• Working with Prof Dirk Hovy, as part of the DMI research unit, on the identification of echo chambers and online abuse on Twitter
• Development of machine learning web-apps: Wordify and MACE

Senior Associate, Data Science

Bain & Company

• Data-driven quality assurance (industry: mining)
• Pricing optimization (industry: packaging machines)
• Predictive maintenance in hydropower plants (industry: energy)
• Client segmentation (industry: road tolls and telco)
• Development of an internal Python library for NLP
• Deployment of NLP end-to-end solutions for product categorization

Software Engineer (part-time contractor)

HDM Group

• Development of a time-sheet management tool (industry: energy)

Data Science Trainee

European Central Bank

• Data quality management of private and public sector granular master data for the Directorate of General Statistics
• Database reconciliation: lead of the RIAD-GLEIF project
• Selected member oftheRIAD–AnaCredittask force with experts from the National Central Banks and the financial sector
• Speaker during regular plenary meetings with experts from the National Central Banks (reserved only to a restricted group of trainees)
• Automation of a data ingestion and deduplication procedure (80% efficiency gain) used in the computation of the Euro Short-Term rate
• Development of automated internal reports and dashboards
• Production of statistical reports published on the ECB website

energizer

• An active learning library for PyTorch

Wordify

• Wordify makes it easy to identify words that discriminate categories in textual data.

MACE

• MACE makes it easy to compute inter-annotators agreement statistics.