Timur Salakhetdinov - Data Analytics Portfolio

Experienced Data Analyst

I am an experienced Data Analyst with a strong background in financial and market analytics and a deep understanding of global financial markets. My passion lies in transforming complex data into actionable insights that drive business growth, optimize decision-making, and improve operational efficiency. Currently, I am pursuing a Master’s in Management and Data Science at Leuphana University Lüneburg to deepen my expertise in machine learning, data-driven decision-making, and AI applications.

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Core Skills

Data Analytics & Visualization: Skilled in Python (Pandas, NumPy, Matplotlib, Seaborn, Selenium), SQL, Power BI, and Tableau to clean data, build dynamic dashboards, and automate reporting workflows.
Machine Learning & Advanced Analytics: Proficient in customer segmentation (RFM analysis, K-Means clustering) and predictive modeling to enhance business strategy.
Database & Automation: Working with Microsoft SQL Server and Oracle databases, using SQL to collect, structure, and aggregate operational and marketing data for real-time analytics and reporting.
Data Storytelling: Adept at translating complex findings into clear, actionable insights for stakeholders.
Financial & Market Analysis: Leveraging five years of experience in financial analysis and market research to support data-driven decision-making in insurance, telecom, and investment sectors.