Study price
Ksenia Legostay
Lead Data Scientist — Klarna
- 7 years experience in ML/Data Science field - 5 years experience in Project Management - Data Science mentor Data Scientist Lead in FinTech dealing with financial risk / fraud / anomaly detection. I am experienced at launching, supporting and managing end-to-end ML solutions to approach real-world challenges. I changed my career from Project Manager to Data Scientist and can share how to get into the DS field quickly and efficiently.
🤝 Can help with
- I help with switching to Data Science from any IT role, that you currently have. Together we build a transitioning plan, define strengths and areas for development in Data Analytics / Data Science.
- How to search for a job in Data Science.
- How to grow inside the company, get promotion, increase your influence.
- I will help with a job search abroad: CV review, mock interviews, etc.
- I will help you with career guidance catered for your personal profile. What skills&knowledge are needed for your dream job; what proficiencies you already have. We will estimate your professional level and prospects for a future position and how to get there
- I will help with hiring strategies and processes as well as share how to build a Data Science team.
💻 Work experience
December 2021 — until now
Klarna — Data Science Team Lead
September 2020 — December 2021
momox — Senior Data Scientist
September 2019 — September 2020
RatePAY — Data Scientist
March 2017 — August 2019
T-Labs, Telekom Innovation Laboratories — Research Assistant / Data Scientist
March 2016 — November 2016
Digital Zone — Project Manager
September 2012 — November 2014
Management of Information Projects — Project Manager
🤟 Projects
In the frame of Research and Development project in Deutsche Telekom I developed a recommender system for small and medium enterprises for eBiz financial project: https://www.tu.berlin/snet/forschung/projekte/abgeschlossene-projekte "eBIZ offers a new banking service on a single platform for SMEs and startups to safely and efficiently perform their financial and administrative tasks anywhere and anytime."
Annual IT Salary Survey in Germany
An anonymous salary survey has been traditionally conducted annually since 2015 among European IT specialists in Germany. Purpose: to learn a competitive value of a skillset for IT specialists depending on years of experience, position, level, etc.
