Marco Meneghelli

Marco Meneghelli

Data Scientist @ Bending Spoons

About Marco Meneghelli

Marco Meneghelli is a Data Scientist at Bending Spoons in Milan, Italy, with a background in physics and quantitative analysis.

Company

Marco Meneghelli currently works at Bending Spoons as a Data Scientist. Based in the Milan Area, Italy, he has been with the company since 2015. At Bending Spoons, he has led the Data Science and Analytics team, overseeing between 4 to 20 team members from 2017 to 2020. His work includes developing proprietary tools for data management and engaging in reverse engineering algorithms for the App Store.

Education and Expertise

Marco Meneghelli holds a Ph.D. in Physics from the University of Bologna, earned between 2010 to 2013. He also completed a Master's degree in Financial Mathematics at the University of Bologna from 2009 to 2010 and another Master's degree in Physics from the University of Padova, where he previously achieved his Bachelor's degree in the same field. His high school education was at Liceo Scientifico, completed in 2004.

Previous Work Experience

Marco Meneghelli has worked in various roles prior to his current position. He served as a Quantitative Analyst at Banca IMI from 2013 to 2015 and as a Physicist at CERN from 2012 to 2013 in Geneva, Switzerland. He also worked at the National Institute of Nuclear Physics (INFN) in Bologna from 2010 to 2013. Additionally, he was engaged at Università di Bologna as a PhD student and at the University of Padova as a Teaching Assistant.

Achievements

Marco Meneghelli contributed to the development of the Immuni app by studying viral models and user adoption behavior. He has been involved in an internal project focused on quantitative trading of cryptocurrencies, including exact/statistical arbitrages and low latency trading. He has also developed proprietary tools for data collection and management, primarily using Python and Google BigQuery, and supported App Store Optimization and Paid User Acquisition teams through reverse engineering algorithms.

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