Patient Re-Admission Prediction
• Developed and implemented a predictive model to identify high-risk patients for readmission.
Analyzed patient data to identify risk factors for readmission, including demographics, medical history, and social factors.
• Developed a dashboard to visualize readmission risk scores and provide actionable insights to clinicians.
• Analyzed patient data to identify risk factors for readmission, including age, gender, diagnosis, and length of stay.
Credit card Fraud Detection System
• Developed a fraud detection system capable of analyzing real-time transaction data to identify and prevent fraudulent activities. Used advanced machine learning techniques, including under-sampling, T-SNE clustering, and anomaly detection, to build a robust and scalable fraud detection system.
• Effectively reduced false positives and false negatives by implementing anomaly detection and PCA dimensionality reduction techniques. Demonstrated exceptional problem-solving and analytical skills by successfully tackling the complex challenge of credit card fraud detection.
• Balanced the dataset and employed clustering techniques to group cardholders based on transaction volume and identify anomalies.
Expense Tracker Application
• Developed a comprehensive expense tracking application to effectively manage student finances.
Enabled seamless tracking of both income and expenditures for a clear understanding of cash flow.
• Leveraged MongoDB, Mongoose, and Node.js to create a robust and scalable backend infrastructure.
• Implemented Redux and hooks to handle state management in the React frontend, ensuring data consistency.
Utilized React routes, React fetch, and Bootstrap to build a user-friendly and intuitive interface.
Banking and Financial services Application
- Designed and implemented a comprehensive database management system to efficiently store and manage customer information and their associated banking services.
- Facilitated the organization and retrieval of crucial data pertaining to customer transactions, account details, and service utilization. Enabled the bank to gain valuable insights into customer behavior and preferences through data analysis and reporting capabilities.
- Streamlined customer service operations by providing bank staff with easy access to accurate and up-to-date customer information. Enhanced the bank's ability to tailor financial products and services to meet the specific needs of its customers
