Pradyumna Majumder

Pradyumna Majumder is an experienced Data Scientist and Machine Learning Engineer currently working at Kaufland e-commerce, where Pradyumna developed and deployed a fraud detection system for e-commerce platforms. Prior experience includes consulting roles at Spotify and contributing to the CRM team at Paradox Interactive. Pradyumna has also worked as a Data Consultant at Giraff Data Konsult AB and as a Data Engineer Consultant at Bisnode, utilizing technologies such as Apache Kafka and PostgreSQL. With a strong foundation in data science applied to digital marketing from Less Friction, Pradyumna's earlier career includes a software engineering position at Trinity College Dublin and additional programming roles at Innovative Ideas and Cognizant Technology Solutions. Pradyumna holds multiple Master’s degrees in Data Science and Computer Science from KTH Royal Institute of Technology, Eindhoven University of Technology, and University College Dublin, along with a Bachelor's degree in Information Technology from the Institute Of Engineering and Management.