Igor Polidva
Business Intelligence Analyst @Corcentric
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WORK HISTORY
Business Intelligence Analyst @Corcentric
EDUCATION
University of Colorado Boulder
Master of Science - MS, Data Science
Gubkin Russian State University of Oil and Gas (National Research University)
Bachelor's degree, Mechanical Engineering
ABOUT IGOR POLIDVA
Data Analyst with 4+ years of industry experience, proficient in SQL, Python, Excel, Power BI, and Tableau. Skilled in driving data-informed decisions, optimizing processes, and improving team productivity. Proven ability to drive data-informed decisions, support presales activities, optimize processes, and enhance reporting capabilities across diverse industries including B2B finance, e-learning, and technology.Key Skills- Data Analysis & Modeling: Expert in analyzing complex big datasets to uncover trends and opportunities- Data Visualization: Proficient in Tableau and Power BI for creating compelling visual reports, and dashboards- Programming: Advanced skills in Python (pandas, NumPy, SciPy, Matplotlib, scikit-learn) and SQL (PostgreSQL, MySQL, MS SQL Server) for data manipulation and analysis- Excel: Extensive experience with advanced Excel functions (VLOOKUP, Pivot tables, Conditional formatting, Pivot tables, DAX, VBA) and data modeling- Hypothesis Testing & A/B Testing: Skilled in designing experiments to drive data-backed decisions- Budget Optimization & Cost Reduction: Proven ability to identify cost-saving opportunities, leading to significant reductions and improved ROI- Project Management & Scrum: Demonstrated experience in leading teams, introducing Scrum methodologies, and enhancing project efficiency and collaboration- Training & Facilitation: Skilled in developing and delivering training programs to enhance data literacy and promote adopting data-driven practices- ETL/ELT: Skilled in data modeling, data cleansing, data validation, and data quality management within ETL/ELT processes.Key Achievements- Marketing Campaigns: Reduced marketing costs by 20% through data-driven budget optimization- Modernized a critical legacy Python tool: for spend classification, reducing analysis time by ~4 hours per instance, improving accuracy, and delivering comprehensive usage documentation- User Engagement: Increased user engagement by 30% using predictive analytics- Optimized Reporting & Decision-Making: Designed and implemented interactive dashboards, reducing reporting time by 20%- Improved Sales Conversions: Identified key user behavior patterns influencing purchase likelihood through data segmentation, leading to a 15% increase in sales conversions. Industry Knowledge: EdTech, AI, Machine Learning, E-commerce, FintechSoft Skills: Data Storytelling, Presenting Complex Data to Non-Technical Audiences, Cross-Functional Collaboration, Remote Team Coordination, Problem-Solving, Adaptability, Leadership
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