Bart van Hest

Bart van Hest has a diverse work experience in various roles within the IT industry. Bart started their career at FAIR as an Oracle Developer from 1999 to 2000. Bart then worked at Logica as a Software Engineer from 2001 to 2012. From 2012 to 2016, they joined CGI as an Information Analyst and Experienced Software Engineer. In 2016, Bart became an Integration Lead Designer at Gemeente Rotterdam, where they worked on an event-based information integration solution. Bart then moved on to Philips as a Data Analyst, where they performed data analysis assignments and automated legacy code analysis. At Signify, they worked as a Business Analyst, responsible for information integration within the Content Marketing domain. Bart also briefly worked as an Information Technology Consultant at Philips in 2019. Currently, they are an Integration Designer at Vion Food Group since 2020. Bart's expertise lies in data analysis, integration design, and information technology consulting with proficiency in various technologies.

Bart van Hest has a strong educational background in physics. Bart obtained their first degree, an ir (ingenieur) in physics, from Eindhoven University of Technology, where they studied from 1986 to 1991. Later, they pursued further studies and earned a Doctorate degree (Dr.) in physics from Delft University of Technology, completing their studies from 1991 to 1996.

In addition to their formal education, Bart van Hest has also obtained various certifications in the field of data science. Bart completed the "DrivenData Water Pumps Challenge" from DataCamp in June 2016. In March 2015, they successfully completed certifications in "Getting and Cleaning Data", "Reproducible Research", "Developing Data Products", and "The Data Scientist's Toolbox" from Coursera. In April 2014, they completed a certification in "Data Analysis and Statistical Inference" from Coursera. Furthermore, they have obtained certifications in "Data Analysis", "Archaeology's Dirty Little Secrets", "Computing for Data Analysis", "Social Network Analysis", and "The Ancient Greeks" from Coursera, but the exact completion dates are not provided.