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A structured exploratory data analysis project examining Netflix content distribution, genre trends, release patterns, and content growth using Python for data cleaning, visualization, and insight generation.
End-to-end Power BI analytics project completed as part of a college data analytics course. The project analyses student performance and engagement for a fictional college, using structured data modelling, DAX measures, and interactive dashboards to surface trends, risks, and actionable insights for academic decision-making.
Exploratory data analysis of a fictional tech business using PostgreSQL, focusing on revenue performance, customer segmentation, seasonality, churn, and pricing anomalies.
End-to-end Product Analytics portfolio with real-world projects using SQL, Python, Excel, and BI dashboards (Power BI & Tableau). Includes datasets, case studies, KPI frameworks, and decision-focused analysis.
Interactive HR Analytics Dashboard built in Excel to analyze employee demographics, performance, salaries, skills, and workforce distribution using KPIs, Pivot Tables, and slicers.
End-to-end analysis of Amazon UK product data using SQL, Power BI, and advanced analytics to support category performance, pricing strategy, and risk identification.
Real-world Power BI dashboards developed for enterprise operations, covering finance analytics, vehicle lifecycle tracking, inventory management, compliance monitoring, and HR insights. Focused on delivering actionable insights and business decision support.
Interactive Power BI dashboard analyzing analyst performance, SLA compliance, ticket resolution efficiency, and workload distribution to support data-driven operational decisions.
Fraud analytics and risk scoring portfolio project that models transactional behavior, applies rule-based fraud detection, and generates account-level risk scores and an operational dashboard for monitoring high-risk activity and rule effectiveness.