In my Customer Churn Analysis project, I used SQL to examine 7,043 telecom customer records and identify churn patterns and high-risk segments. I built an interactive Power BI dashboard to present churn KPIs, customer segments, and retention-focused recommendations.
For my Financial Fraud Detection project, I analyzed 284,807 credit-card transactions and developed an interpretable, SQL-based rule engine to classify transactions by risk. I evaluated its precision and recall, then built a Power BI dashboard to visualize fraud patterns and detection performance.
In data analytics job simulations with Accenture North America, Deloitte Australia, and Tata, I analyzed datasets, created dashboards and visualizations, and prepared presentations or client questions. I work with SQL, Excel, Power BI, and Tableau, and I'm looking for opportunities to apply and develop my data analysis skills.
