Ksenia Legostay is currently working as a Manager/Data Scientist at momox GmbH. Her path into data science is an instructive one for career switchers: after four years working as a Project Manager, she turned her career towards data science and never looked back.

During that transition, Ksenia spent three years researching fraud and anomaly detection and earned a degree in data analysis. She built a practical, well-rounded toolkit along the way: programming in Python with Pandas, analytics with spreadsheets and BI tools like Tableau, structured project workflows based on CRISP-DM, and hands-on practice through Kaggle competitions and community resources. Her domain specialty is fraud detection, including graph-based techniques such as node2vec for finding suspicious patterns.

Ksenia shared her full transition story, from assessing skill gaps to building a portfolio and preparing for production work with Git, testing, and Docker, on the DataTalksClub podcast, offering a clear roadmap for anyone moving from project management or analytics into data science.