12/08/2024 updated
100 % available
Experienced Data Analyst with Expertise in SQL, Python, and Power BI
Koziegłowy, Poland English Philology (2008 - 2011)
AlgorithmsData AnalysisBig DataCustomer Data ManagementLoyalty ProgramsMarket SegmentationData VisualizationFraud Prevention and DetectionPython (Programming Language)PostgreSQLMachine LearningPredictive ModellingPower BISQL DatabasesPandasScikit LearnGoogle BigqueryKpi Reporting
Data Analysis
Advanced SQL (PostgreSQL, Google BigQuery), Python (pandas, scikit-learn) for complex data transformations and analysis.
Data Visualization
Proficient in Power BI for creating dynamic dashboards and reports to present actionable insights.
Machine Learning
Skilled in predictive modeling and clustering algorithms for advanced analytics and customer segmentation.
Exploratory Data Analysis (EDA)
Identifying trends, anomalies, and patterns in large datasets to derive meaningful insights.
Customer Segmentation
Segmenting customer data to optimize targeting and engagement strategies for improved business outcomes.
Fraud Detection
Implementing data-driven recommendations to enhance fraud detection systems in loyalty programs.
KPI Monitoring
Developing and implementing KPIs for monitoring timely deliveries and cross-functional team performance.
Advanced SQL (PostgreSQL, Google BigQuery), Python (pandas, scikit-learn) for complex data transformations and analysis.
Data Visualization
Proficient in Power BI for creating dynamic dashboards and reports to present actionable insights.
Machine Learning
Skilled in predictive modeling and clustering algorithms for advanced analytics and customer segmentation.
Exploratory Data Analysis (EDA)
Identifying trends, anomalies, and patterns in large datasets to derive meaningful insights.
Customer Segmentation
Segmenting customer data to optimize targeting and engagement strategies for improved business outcomes.
Fraud Detection
Implementing data-driven recommendations to enhance fraud detection systems in loyalty programs.
KPI Monitoring
Developing and implementing KPIs for monitoring timely deliveries and cross-functional team performance.
Languages
EnglishFluentPolishNative speaker
Project history
Designed and implemented data-driven recommendations for fraud detection, conducted customer segmentation, developed dynamic dashboards, and prepared analysis of stock.
Analyzed and processed data provided by HF's, verified and cross-checked data, set up and reviewed HF's data, prepared weekly pricing reports.
Developed product offers for marketing campaigns, analyzed and monitored product offerings, and made price recommendations to maximize profits.