Gerasimos Fotiadis
About Gerasimos Fotiadis
Gerasimos Fotiadis is a data scientist currently employed at Entain in London, England. He has a background in mechanical engineering and operational research, with previous roles at Kindred Group plc and Thomas Cook.
Work at Entain
Gerasimos Fotiadis has been employed at Entain as a Data Scientist since 2020. He works in London, England, where he applies his expertise in data analysis and machine learning to enhance the company's operations and decision-making processes. His role involves utilizing data-driven insights to support various projects within the organization.
Previous Experience at Kindred Group plc
Prior to his current position, Gerasimos Fotiadis held multiple roles at Kindred Group plc. He served as a Senior Analyst from 2017 to 2018, followed by a position as a Data Scientist from 2018 to 2020. Additionally, he worked as a Data Analyst from 2016 to 2017. His tenure at Kindred Group allowed him to develop a strong foundation in data analytics within the gaming industry.
Education and Expertise
Gerasimos Fotiadis earned a Bachelor's and Master's degree in Mechanical Engineering from the University of Thessaly, where he studied from 2006 to 2012. He furthered his education at The University of Edinburgh, obtaining a Master's degree in Operational Research with Computational Optimization from 2013 to 2014. His academic background supports his analytical skills and technical knowledge in data science.
Career at Thomas Cook
Before joining Kindred Group, Gerasimos Fotiadis worked at Thomas Cook as an Operations Research Analyst from 2015 to 2016. In this role, he focused on applying analytical methods to improve operational efficiency and decision-making processes within the company, contributing to the optimization of their business strategies.
Internship Experience
In 2014, Gerasimos Fotiadis completed a four-month internship at Orange, where he focused on Reinforcement Learning. This experience provided him with practical insights into machine learning applications, further enhancing his skills in data science and analytics.