I'm a Software Engineer with experience in Scala and theoretical background in data science and machine learning with experience in Hadoop, Spark and Kafka.
In July 2017 I started working as Software Engineer at Gilt (HBC Digital) in the Personalisation Team.
Before that, I used to work as Data Scientist in the Data Science and Solutions team in AIB, one of Ireland's major retail banks with ~ 2.2 million customers. I improved the customer experience and created value for the bank by developing solutions able to provide real time insights. I developed solutions in Scala and Python, leveraging technologies such as Hadoop, Spark Streaming, Kafka, BigSQL, HBASE and Solr. One of the applications I developed with my team won the 2017 TDWI Best Practices Award for Data Management Strategies.
I graduated cum laude in Computer Science (with major in Business Informatics) at the University of Pisa with a thesis written during my internship at the corporate research centre of ABB in Germany. I did research on privacy preserving machine learning algorithms for the Industry 4.0. From my research activity, a paper has been presented to the IEEE International Conference and Workshops on Cloud Computing Technology and Science (CloudCom). The work has been published in the conference proceedings.
During my studies and my work experience I had the opportunity to work on several machine learning and data engineering projects with different teams. Some of them are listed below. Many of them are listed in my Linkedin profile.
If you are interested in my profile, or you have any questions, feel free to drop me an email or connect with me on LinkedIn