Data Analyst with 6 months of Business Analyst internship experience and expertise in SQL, Power BI, Excel, Python and Business Intelligence. Built end-to-end analytics projects, including a 4M + record Modern Data Wareh…
Data Analyst with 6 months of Business Analyst internship experience and expertise in SQL, Power BI, Excel, Python and Business Intelligence. Built end-to-end analytics projects, including a 4M + record Modern Data Warehouse, transforming complex datasets into interactive dashboards and business insights. Skilled in data cleaning, KPI reporting, visualization, and translating business problems into data-driven recommendations through analytical thinking, stakeholder collaboration, and process improvement
<p>Collaborated with 15+ healthcare professionals, institutions, and stakeholders to gather business requirements, define reporting needs, and support data-driven decision-making for LMS initiatives.<br>
Analyzed student enrollment trends, learner engagement, and campaign performance using Excel and SQL to generate insights, monitor KPIs, and support business and operational teams.<br>
Analyzed enrollment funnels and campaign performance to prepare 10+ business reports and presentations, enabling data-driven stakeholder decisions and supporting initiatives that contributed to an approximately 25% increase in enrollments over two months.</p>
<p>Analyzed 10K records to identify churn drivers, uncovering 20.37% churn rate high-risk customer segments.<br>
Developed Power BI dashboards with DAX measures and segmentation analysis to track churn by tenure, product usage and credit score.<br>
Processed, validated, and performed data quality checks on large datasets to ensure accuracy, completeness, and consistency for AI/ML model performance.<br>
Converted semi-structured data into structured formats and collaborated with technical teams to resolve inconsistencies and improve data workflows.</p>
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