Vincent Lous

Vincent Lous has a strong background in data science and statistical analysis. Vincent currently holds the position of Lead Data Scientist at HousingAnywhere, starting in July 2022. Prior to this, Vincent worked at CGI Nederland as a Lead Data Scientist in AI application development from August 2021 to July 2022.

Before joining CGI Nederland, Vincent was employed at AT&T for several years. Vincent began as a Statistical Programmer and Consultant at Posthuma Partners from 2011 to 2013, where they developed software and provided consulting services for the insurance industry. During this time, Vincent also served as an intern, developing a method for calculating insurance liabilities' market value.

Vincent then moved on to Group O, working as a Statistician from April 2014 to June 2017 under contract for AT&T. Following this, Vincent joined AT&T directly, initially serving as a Senior Marketing Database Statistician from June 2017 to June 2019. In this role, they developed statistical models to enhance sales and retention campaigns and gained insights into customer behavior through improving the ETL process. Vincent then transitioned to the position of Principal Data Scientist at AT&T, holding the role from June 2019 to August 2021.

Vincent Lous pursued their education in a chronological order, with their first recorded experience being their Bachelor of Science (BS) degree in Economics from Tilburg University, which they completed from 2006 to 2009. Following this, Vincent pursued their Master of Science (MS) degree in Quantitative Finance and Actuarial Science from Tilburg University, where they studied from 2009 to 2011.

In 2008, they participated in an exchange program at Macquarie University, where they focused on Stochastics and Financial Mathematics for a semester.

More recently, Vincent Lous enrolled in Udacity in 2019 and completed a Nanodegree program in Deep Learning, which lasted until 2020. These are the known educational experiences based on the provided chronological information, without assuming additional details beyond what is given.