Tetiana Lem

Tetiana Lem is a skilled professional with a robust academic and professional background in project management, economic cybernetics, and data science. She holds an MSc in Project Management and a BSc in Economic Cybernetics, focusing on leveraging data science to drive insights and enable data-driven decision-making. Currently, Tetiana serves as a Risk Analyst at Inbank, where she develops machine learning models for fraud prevention and credit scoring, utilizing techniques like logistic regression and decision trees. Her prior experience includes data analysis roles at the Central Bank of Latvia and Printful, where she specialized in forecasting, financial modeling, and creating automated tools to estimate revenue and volume for product launches. Tetiana has also contributed to valuation projects as a Business Valuation Intern at EY, analyzing the impact of ESG performance on financial metrics. Her expertise spans predictive modeling, econometric analysis, data storytelling, and dashboard creation using tools such as Python, SQL, Power BI, and RStudio. She combines a keen analytical mind with a passion for innovation, continuously delivering impactful insights across diverse projects.