Kevin B.
About Kevin B.
Kevin B. is a Data Scientist with extensive experience in various roles within the tech and finance sectors, including positions at Booking.com, SNS Bank, and DeepL. His career spans over two decades, showcasing a strong background in data analysis and service management.
Current Role at DeepL
Kevin B. has been working as a Data Scientist at DeepL since 2021. He is based in Amsterdam, North Holland, Netherlands. In this role, he applies his expertise in data analysis and machine learning to enhance DeepL's language translation services. His contributions focus on improving the accuracy and efficiency of the company's data-driven solutions.
Previous Experience at Booking.com
Kevin B. held multiple roles at Booking.com from 2012 to 2019. He started as a Business Analyst for 10 months, then transitioned to a combined role of Business Analyst, Data Scientist, and Team Lead from 2013 to 2016 for three years. He later served as a Data Scientist from 2018 to 2019 for one year. His work involved analyzing user data to optimize the booking process and enhance customer experience.
Career Background in Sales and Consulting
Before transitioning into data science, Kevin B. gained experience in sales and consulting. He worked at SNS Bank as a Sales representative from 2006 to 2007 and at NBG Finance from 2003 to 2005. Additionally, he served as a Service Management Consultant at TOPdesk from 2007 to 2012 for five years, where he focused on improving service delivery and client satisfaction.
Experience in Analytics and Data Science Roles
Kevin B. has a diverse background in analytics and data science. He worked as an Analytics Ninja at Catawiki from 2016 to 2018 for two years, where he was responsible for data analysis and reporting. He also spent two years as a Data Scientist at Temper from 2019 to 2021, contributing to data-driven decision-making processes in the Amsterdam Area.
Education and Expertise
While specific educational details are not provided, Kevin B. has developed expertise in data science, analytics, and business analysis through his extensive work experience. His roles have required proficiency in data interpretation, statistical analysis, and the application of data science methodologies to solve business challenges.