BIG DATA STREAMING ANALYTICS,
CREDIT CARD FRAUD DETECTION
@ MACHINE LEARNING GROUP, ULB
ABOUT ME
I am passionate about data science, machine learning and all the surrounding. I have started my PhD in October 2013 on a bioinformatics topic related to metagenomics, but after more than one year and a great publication on the Science journal, I had to leave the topic due to the lack of founds and since April 2015 I have jumped in the Fraud Detection and Streaming Analytics universe. I am currently working with Apache Spark, its Streaming and Machine Learning built-in packages. The goal of my research is the developing of a scalable application for automatic fraud detection.
EDUCATION
RESEARCH INTERESTS
Big Data Analytics
Curently implementing a Fraud Detection pipelines which includes Kafka + Spark + Cassandra.
10/2013 - ongoing
"ULB" - Université Libre de Bruxelles
PhD studies
Machine Learning
Modelling of temporal ensemble of models.
Fraud Detection
Knowledge of state-of-the-art techniques.
Active Learning
Important challange in case where the class labels are expensive to obtain.
10/2009 - 03/2013
University of Bologna "Alma Mater Studiorum"
Master degree in Information Systems for Business and Finance
09/2005 - 03/2009
University of Chieti-Pescara "G. D'Annunzio"
Bachelor degree in Economics and Computer Science
Imbalanced Data
Important challange in fraud detection.
Semi-supervised Learning
Can be a winning strategy for partially labeled datasets.
Unsupervised Learning
Learning from unlabeled dataset.