Natalia Marko - Data scientist, Kubera-M

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Work Background

Self employedData Scientist

Jan. 2024Actively engaged in continuous learning and professional development in the field of data science and machine learning. Key activities include: - Kaggle Competitions: Participating in various competitions to apply and enhance machine learning skills, solving real-world problems, and collaborating with a global community of data scientists. - Forage Projects: Completing practical, industry-relevant projects to gain hands-on experience and apply theoretical knowledge to solve real-world challenges. - Coursera Courses: Taking courses from top universities and industry leaders on Coursera to stay updated with the latest trends and methodologies in data science and machine learning. - Trials of Assets Forecasting: Engaging in time series analysis for forecasting financial assets, utilizing advanced techniques to predict market trends and asset prices. Applying machine learning models to historical financial data to enhance prediction accuracy and support financial decision-making. - Portfolio Development: Working on creating a comprehensive portfolio from my old workbooks, continually adding new projects to showcase my skills and expertise. Encouraging to explore my portfolio to understand my capabilities and achievements in the field: https://github.com/NathalieMarko/ds_portfolio

Kubera-M, food retailData Analysis

Jan. 2022Kyiv, Kyiv City, UkraineContinuing to provide data analysis and consulting services to Kubera-M, focusing on their major food retail clients acquired during my tenure as a Business Data Analyst.

Kubera-M Business Analyst

May. 2008 - Dec. 2021Kyiv City, Ukraine- Sales Data Analysis: Spearheaded initiatives to analyze sales data, identifying key trends and opportunities. This analysis directly led to measurable improvements in revenue generation and informed strategic pricing decisions. - Cost Analysis & Optimization: Developed and implemented data-driven models to track and analyze costs across departments. This work successfully identified and realized significant cost savings, contributing to improved profitability. - Product Analysis & Assortment: Conducted in-depth product analysis and market research to inform product portfolio optimization and new product development. Contributed to the successful launch of multiple new product lines that exceeded expectations and drove substantial revenue growth. - Data-Driven Decision-Making: Consistently provided actionable insights and recommendations based on rigorous data analysis. These insights directly influenced key business decisions on pricing, product assortment, budget allocation, and other strategic initiatives.

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