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Svetlana Sedykh

Data Analyst
Independent Consultant
About Svetlana
Maven Fuzzy Factory Business Overview
Maven Fuzzy Factory Business OverviewA Power BI report on key eCommerce metrics from the Maven Fuzzy Factory dataset, covering sessions, orders, conversion rates, revenue, and user engagement, providing insights for data-driven decisions.
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Maven Fuzzy Factory Business Overview
Maven Fuzzy Factory Business OverviewA Power BI report on key eCommerce metrics from the Maven Fuzzy Factory dataset, covering sessions, orders, conversion rates, revenue, and user engagement, providing insights for data-driven decisions.
1 Likes
0 Comments
Great American Coffee Taste Test: Consumer Preferences Insights
Great American Coffee Taste Test: Consumer Preferences InsightsAnalyzing coffee consumption data to guide investment decisions: Insights for market entry and growth strategies.
6 Likes
2 Comments
Great American Coffee Taste Test: Consumer Preferences Insights
Great American Coffee Taste Test: Consumer Preferences InsightsAnalyzing coffee consumption data to guide investment decisions: Insights for market entry and growth strategies.
6 Likes
2 Comments
Sales Analysis: Power BI DAX Masterclass Project
Sales Analysis: Power BI DAX Masterclass ProjectThe Sales Analysis project emphasizes advanced Power BI DAX techniques for detailed analysis and personalized visualizations.
2 Likes
2 Comments
Sales Analysis: Power BI DAX Masterclass Project
Sales Analysis: Power BI DAX Masterclass ProjectThe Sales Analysis project emphasizes advanced Power BI DAX techniques for detailed analysis and personalized visualizations.
2 Likes
2 Comments
Analyzing LEGO Set Metrics
Analyzing LEGO Set MetricsAnalyzing LEGO sets over five decades for insights into themes, piece counts, recommended age groups, and retail prices. Aiming to deepen understanding of LEGO's enduring popularity and evolution.
13 Likes
2 Comments
Analyzing LEGO Set Metrics
Analyzing LEGO Set MetricsAnalyzing LEGO sets over five decades for insights into themes, piece counts, recommended age groups, and retail prices. Aiming to deepen understanding of LEGO's enduring popularity and evolution.
13 Likes
2 Comments
LEGO Exploration: Data Analysis and Visualization with Python
LEGO Exploration: Data Analysis and Visualization with PythonRevealing Insights and Patterns from the LEGO Dataset with Python Analysis.
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LEGO Exploration: Data Analysis and Visualization with Python
LEGO Exploration: Data Analysis and Visualization with PythonRevealing Insights and Patterns from the LEGO Dataset with Python Analysis.
1 Likes
0 Comments
[FEATURED] Superstore Performance Analysis
[FEATURED] Superstore Performance Analysis Uncover valuable insights into Superstore's performance through comprehensive analysis. Investigate sales trends, profitability and customer behavior for strategic optimization.
2 Likes
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[FEATURED] Superstore Performance Analysis
[FEATURED] Superstore Performance Analysis Uncover valuable insights into Superstore's performance through comprehensive analysis. Investigate sales trends, profitability and customer behavior for strategic optimization.
2 Likes
0 Comments
HCAHPS Survey Results Analysis
HCAHPS Survey Results AnalysisUnveiling Healthcare Insights: HCAHPS Survey Analysis. Dive into 9 years of patient perspectives. Discover trends, challenges and opportunities for enhancing care quality.
2 Likes
0 Comments
HCAHPS Survey Results Analysis
HCAHPS Survey Results AnalysisUnveiling Healthcare Insights: HCAHPS Survey Analysis. Dive into 9 years of patient perspectives. Discover trends, challenges and opportunities for enhancing care quality.
2 Likes
0 Comments
Exploring Sephora: Data Analysis and Visualization with Python
Exploring Sephora: Data Analysis and Visualization with Python Diving into the Sephora dataset to gain insights on customer preferences, product pricing and feature correlations using Python and data visualization techniques.
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Exploring Sephora: Data Analysis and Visualization with Python
Exploring Sephora: Data Analysis and Visualization with Python Diving into the Sephora dataset to gain insights on customer preferences, product pricing and feature correlations using Python and data visualization techniques.
0 Likes
0 Comments
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