Badhusha E B
Data Analyst | SQL, Python, Power BI, ETL & Machine Learning
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Analyzed customer data to identify distinct customer segments based on purchasing behavior, engagement, and value. Used SQL and Python for data preparation and exploratory analysis, applied segmentation techniques to identify customer groups, and translated the findings into targeted business strategies.
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Developed a machine learning solution to analyze business data, identify key drivers, predict outcomes, and support data-driven decision-making. Performed data cleaning, exploratory analysis, feature engineering, regression modeling, and model evaluation, then translated model results into actionable business insights.
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Built an end-to-end data pipeline to ingest, transform, validate, and analyze business data. Implemented ETL workflows using Python and SQL, stored optimized datasets in cloud storage, queried transformed data for analytics, and delivered KPI insights through BI dashboards.
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Built a data-driven Risk Monitoring Framework to track operational risk indicators, identify emerging trends, and prioritize high-impact signals. Developed SQL-based data pipelines, automated KPI monitoring, and BI dashboards to provide stakeholders with visibility into risk health and operational performance. Applied statistical analysis and predictive/ML concepts to evaluate risk drivers and support data-driven prioritization.
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