Sinan Ege Koramaz

Data Science Manager @Visa

Leading cardholder/product analytics and predictive modelling projects for core and digital products, and recently, European Marketing team, and helping the business make strategic decisions by communicating regularly with stakeholders from all around the region. • Created an exemption analysis project for determining the possible population of transactions in EEA which would benefit from SCA exemptions, mainly focused on TRA, low value and consecutive transaction exemptions. • Developed a clustering model for premium team to cluster the card holders in specific European markets to better understand their behaviour and offer them more suitable products. Worked with circa 60 Million Unique cards, 2-3 Billion transactions and more than 250 hand crafted features. • Automated internal reporting on Product, Loyalty performance for internal stakeholders to manage their business using Tableau and Python- Working extensively on tokenised transactions and creating models to improve the token usage penetration within Europe - Actively working with the 3DS team to route more transactions through the system to decrease fraud and increase revenue for Visa-Currently working with marketing team to improve their campaign evaluation metrics to better allocate their budget-Working on the campaign evaluations of FIFA World Cup 2022 and working on with the marketing team to set up Paris 2024 Olympics campaigns with data science methodologies.