Theodoros Nikas
About Theodoros Nikas
Theodoros Nikas is a Fraud Analyst II at Expedia Group, with a background in mechanical engineering and extensive experience in fraud analysis and development roles.
Company
Theodoros Nikas is currently working at Expedia Group. His roles have included positions such as Fraud Analyst II and Learning & Development Specialist. His work at Expedia Group spans from 2018 onward, with a focus on fraud analysis and prevention strategies in a hybrid work setting in Prague, The Capital, Czech Republic.
Title
Theodoros Nikas holds the title of Fraud Analyst II. In this role, he utilizes advanced SQL queries to analyze complex datasets related to e-commerce transactions. He also collaborates with stakeholders to present insights into fraud trends using data visualization tools like Tableau and supports the development of proactive fraud prevention strategies.
Education and Expertise
Theodoros Nikas studied Mechanical Engineering at the University of Western Macedonia, earning a Bachelor of Science (B.Sc.) degree. He also participated in the Socrates - Erasmus program at University of Lille 1 Sciences and Technology, where he studied programming a pick and place robot arm in the production line. His expertise includes advanced SQL querying, data analysis, and visualization, particularly in the context of e-commerce fraud prevention.
Background
Theodoros Nikas has diverse experience in various roles over his career. He was an Account Holder Supervisor at Famar S.A. for nine years, from 2008 to 2017 in Greece. Prior to that, he served as a Production Shift Supervisor at Mornos SA in Thiva, Greece, from 2005 to 2008. He has a strong background in supervisory roles and operational management.
Achievements
During his tenure at Expedia Group, Theodoros Nikas has utilized advanced SQL queries and Tableau for data visualization to analyze complex datasets and present insights into fraud trends. His work supports management in developing proactive fraud prevention strategies, identifying workflow bottlenecks, and suggesting improvements to enhance fraud detection and operational efficiency.