I am a data scientist focusing on machine learning for fraud detection.
At PMP I work on the definiton of an advance diagnosis tool for electronic devices based on Machine Learning algorithms. The goal is to find pattern in the error logs of the device to identify possible defects.
Sept. 2019At PMI I worked on the identification of consumption patterns of Reduced Risk Products. The goal is to understand how people use smoke-free products to help converting a higher number of customers to less harmfull alternatives than standard cigarettes.
Jan. 2017 - Aug. 2019At Nordea Bank I used Spark ML to prioritize money laundering alerts and reduce investigation cost. Prior to that I worked at UBS were I used Supervised and Unsupervised Machine Learning techniques to detection Money Laundering activities. I also audited the credit risk model for VaR and Stressed VaR of UBS. In a different context, I applied clustering-based anomaly detection algoirithms to identify abnormal Balance Sheets and Income statements collected by Global Format GmbH. At Credit Suisse I worked on the identification of fraudulent External Assets Managers and at Zurich Insurance I worked on identification of treasury fraud patterns using Unsupervised Learning algorithms.
Apr. 2016 - Dec. 2017At VASCO I worked on the development of a Link Analysis application for fraud investigations and supported the design of a Fraud Detection systems based on Machine Learning algorithms.
Jan. 2016 - Mar. 2016PhD student at the Machine Learning Group (MLG) of the Université Libre de Bruxelles (ULB) under the supervision of Prof. Gianluca Bontempi. Collaboration with Prof. Nitesh Chawla (University of Notre Dame, Indiana, USA) and with Prof. Giacomo Boracchi (Politecnico di Milano, Milan, Italy).
Jan. 2012 - Dec. 2015Supervision of VisualTrader development (online stock trading platform). Customer support of the trading platform. Development of trading systems and market scanners.
Aug. 2009 - Jul. 2011In Decembre 2011, I graduated from a Master of Science (M.S.) in Applied Statistics and Actuarial Science at Università di Bologna with 110/110 Summa Cum Laude. Master thesis written at the Machine Learning Group of the Université Libre de Bruxelles.
Jan. 2009 - Dec. 2011Balance analysis and reporting according to US GAAP and IFRS regulation (HB2).
Nov. 2008 - Feb. 2009In July 2009, I graduated from a Bachelor in Statistics for Finance and Insurance at Università di Bologna with 110/110 Summa Cum Laude. Second year at University of Glasgow (UK) as an Erasmus student.
Sep. 2006 - Jul. 2009Machine Learning
Data Mining
Fraud Detection
R
Python
Big Data
Apache Spark
Apache Hadoop
SQL
C/C++
Java
Git
Latex
HTML/CSS
© 2021 Andrea Dal Pozzolo