Maria Diapouli
About Maria Diapouli
Maria Diapouli is a Performance Analytics Manager with expertise in developing data mining models for customer behavior segmentation and predictive modeling. She has extensive experience across various industries and has held multiple analytical roles in organizations such as Captify and Crimson Marketing.
Current Role at Captify
Maria Diapouli currently serves as the Performance Analytics Manager at Captify, a position she has held since 2019. In this role, she focuses on leveraging data analytics to enhance performance metrics and drive business insights. Her responsibilities include developing and implementing analytical strategies that support decision-making processes within the organization.
Previous Experience at Captify
Prior to her current role, Maria worked at Captify as a Senior Data Analyst from 2017 to 2018. During her tenure, she contributed to various data-driven projects aimed at improving customer insights and optimizing marketing strategies. Her experience in this position laid the groundwork for her advancement to Performance Analytics Manager.
Education and Expertise
Maria holds a Master of Business Administration (M.B.A.) in Knowledge and Innovation Management from the University of Brighton, where she studied from 2013 to 2015. Additionally, she earned a Master’s Degree in Internet Technology and e-Commerce from the University of Greenwich in 2012. She also completed her Bachelor’s Degree in Computer Science at the Technological Educational Institute of Thessaloniki, Greece, from 2005 to 2011.
Professional Background
Maria has a diverse professional background with experience across various industries. She worked as a Data Mining Manager at the University of Brighton from 2014 to 2017, and as a Data Mining Scientist at Crimson Marketing from 2012 to 2014. Earlier in her career, she served as a Placement Manager at the Alexander Technological Educational Institute of Thessaloniki for six months in 2009.
Analytical Skills and Techniques
Maria specializes in developing data mining models for customer behavior segmentation and predictive modeling. Her expertise includes analytical activities such as clustering, modeling customer response, forecasting through time series analysis, association rule modeling, and nearest neighbor analysis. She has applied these techniques in various sectors, including transportation, online marketing and advertising, and education.