
Data Analytics professional with 3+ years of experience in transforming complex datasets into actionable business insights. Proven expertise in data cleaning, exploratory data analysis, dashboard development, and performance reporting to support data-driven decision-making. Proficient in SQL, Python, Excel, and BI tools with a strong ability to collaborate with cross-functional stakeholders, identify trends, and deliver clear, meaningful visualizations.
1. Anomaly Detection - Transactions Monitoring System (78 Crore Cost Saving):
Developed and supported an anomaly detection solution for monitoring customer transactions to identify unusual patterns, potential fraud, and compliance risks. Involved in data cleaning, feature preparation, exploratory analysis, and threshold-based/statistical anomaly identification to ensure high-quality alerts generation, dashboards, and analytical reports that enhanced transaction oversight and supported risk and compliance decision-making.
2. Credit Risk Analytics (28% Reduction in NPAs and Liabilities)
Worked on credit risk analytics to assess customer creditworthiness and predict default risk using historical financial and transaction data. Performed data preprocessing, trend analysis, and risk segmentation to support credit decision-making. Delivered analytical reports and dashboards that aided stakeholders in monitoring portfolio risk and improving risk management practices.
3. Customer Churn Prediction
Developed a customer churn prediction model to identify customers at high risk of attrition by analyzing transactional, behavioral, and demographic data. Involved in data cleaning, feature engineering, exploratory analysis, and model evaluation to generate actionable insights. Supported business teams with analytical outputs and reports to enable proactive customer retention strategies.