Betty Moreschini has a diverse work experience in the field of software engineering and data analysis. Betty has held roles in various companies, starting with a senior software engineer position at Storytel in 2023. Prior to that, they worked at Spotify from 2020 to 2023, first as a software engineer focusing on personalization and later on Freemium.
Before their time at Spotify, Betty was employed by vente-privee devient Veepee from 2017 to 2020, where they initially worked as a data engineer, contributing to the development of data pipelines and data quality evaluation framework. Later, they transitioned to a software engineer role, where they contributed to the customization and recommender system.
In 2019, Betty took on the role of an organizer for Paper Reading Sessions at Paris Women in Machine Learning and Data Science. Betty coordinated monthly sessions dedicated to showcasing work by women researchers in the field of Machine Learning and Data Science.
Prior to their industry roles, Betty worked as an R&D software engineer at CODECASE Software from 2014 to 2017. In 2013, they gained experience as a software development engineer at both Amazon and Amadeus. At Amazon, they contributed to the development of the "Flash Briefing" feature for the Echo project/Alexa, while at Amadeus, they completed an internship focused on machine learning and neural networks for forecasting boarding data in airline companies.
Betty's work experience began with a student industrial project at Icom'Provence, where they debugged and improved a software keyboard. Betty also completed a student internship at Siemens Audiologie in 2011.
Betty Moreschini completed their education in a chronological order as follows:
From 2008 to 2010, they attended Lycée Condorcet where they pursued a Classe préparatoire in Mathematics and Physics.
In 2010, Betty enrolled at École des Mines de Saint-Étienne and pursued a Master Degree in Computer Sciences and Microelectronics Engineering. Betty completed this degree in 2013, specializing in the field of Microelectronics and Computer Sciences.
In 2012, they briefly studied at The University of Edinburgh, though no specific degree was mentioned in the provided information.
Additionally, Betty obtained several certifications related to Cloud Computing from Coursera. In January and March of 2020, they completed courses such as "Building Resilient Streaming Systems on Google Cloud Platform," "Google Cloud Platform Big Data and Machine Learning Fundamentals," "Leveraging Unstructured Data with Cloud Dataproc on Google Cloud Platform," and "Serverless Data Analysis with Google BigQuery and Cloud Dataflow."
May, 2023 - present