Over the past 7 years, I have developed predictive models to create business value. Now, I create end-to-end solutions to approach real-world challenges, from early prototypes to productized projects. I write production-ready code, train and deploy ML models. At Klarna, I lead a DS team that drives efforts for fraud prevention in Klarna’s core products in key EU and AP markets.
I spent 3 years in academia exploring graph embeddings for the representation of transaction networks within international project eBiz. I summarized my research in my master’s thesis graduating from TU Berlin.
Download ResumeMY CAREER PATH
Worked on the German-Hungarian project in digital finance eBiz:
Fraud and anomalies detection:
Analysis & dynamic visualizations of the public anonymous salary survey data.
Web scraping using python multithreading and a real-time-updated list of available proxy servers.
Visualisation of the Twitter users on the map.
Customization of Node2vec algorithm with time awareness for Small-world networks.
Recommender System to recommend loyalty cards to customers.