Featured Projects
Credit Risk Scoring ML System
A complete machine learning system that predicts loan default risk and classifies borrowers into risk tiers. I built the entire pipeline from data preprocessing through cloud deployment, achieving 87% F1 score and 92% ROC-AUC using XGBoost. The system includes transparent AI with SHAP explainability and an interactive dashboard.
Key Features
- Achieved 87% F1 Score and 92% ROC-AUC with XGBoost, providing reliable predictions for loan default risk
- Deployed to Streamlit Cloud with automated CI/CD pipeline directly from GitHub
- Integrated SHAP explainability to make AI decisions transparent and interpretable for regulatory compliance
- Built comprehensive ETL pipeline with feature engineering that creates over 20 predictive features from raw loan data
- Trained and compared three different models with hyperparameter tuning to find the best performer
- Created an interactive dashboard for real-time risk assessment with visual explanations
AVOXI Telecommunications Billing Analysis
I analyzed three months of telecommunications billing data covering $84K in revenue to find margin inefficiencies and develop pricing recommendations. Through analysis across 53 clients, 8 countries, and 5 vendors, I identified opportunities to improve gross margin from 39.6% to 46.4%, which translates to roughly $157K in potential annual profit improvement.
Business Impact
- Improved profit margins by 6.8 percentage points through vendor routing optimization and strategic pricing adjustments
- Identified $157K in annual profit opportunities across the client base and geographic markets
- Analyzed profitability across multiple dimensions including clients, countries, carriers, and billing methods
- Created executive-ready visualizations and scenario modeling to support pricing strategy decisions
- Evaluated vendor efficiency to inform future contract negotiations and routing decisions
Financial Performance & Forecasting Dashboard
An interactive financial analytics system that monitors business health, analyzes historical trends, and generates 12-month revenue and expense forecasts. The dashboard processes 58 months of financial data to provide strategic insights for business planning and decision-making.
Key Capabilities
- Achieved 3.6% forecasting accuracy (MAPE) on 12-month revenue and expense predictions
- Real-time KPI monitoring for revenue, expenses, profit margins, and growth rates
- Automated anomaly detection to flag unusual profit fluctuations that need investigation
- Interactive dashboards with dynamic filtering and professional visualizations
- Automated business insights generation with actionable recommendations for leadership
Financial Fraud Detection System
A fraud detection system designed to identify suspicious financial transactions while providing transparent, explainable results for compliance and investigation teams. The system handles highly imbalanced datasets typical in real-world scenarios where fraudulent transactions represent less than 2% of total volume.
Key Capabilities
- Achieved over 95% detection accuracy for identifying fraudulent transactions in imbalanced datasets
- Uses SHAP analysis to explain which factors contributed to each fraud detection
- Interactive dashboard for fraud analysts to review flagged transactions and adjust risk thresholds
- Real-time scoring API with sub-second response time for transaction monitoring
- Production-ready deployment with Docker containerization
OpsIntel360 - Enterprise Business Analytics Platform
A business intelligence platform that provides actionable insights across Finance, Sales, Operations, HR, and IT departments. The system combines forecasting, anomaly detection, and automated recommendations into an interactive dashboard designed for real-world business applications.
Key Capabilities
- Multi-department analytics supporting Finance, Sales, Operations, HR, and IT metrics
- Configurable forecasting with 3 to 12 month prediction horizons for strategic planning
- Automated anomaly detection with contextual explanations and severity classification
- Real-time KPI dashboards tracking revenue, expenses, margins, and operational metrics
- Full ETL pipeline with database integration for production deployment
SmartResumeTool Web Application
An AI-powered resume analysis tool that helps job seekers optimize their applications. Users upload resumes and job descriptions to receive instant feedback on keyword match, ATS compatibility, and specific recommendations for improvement.
Key Features
- AI-driven resume analysis that compares content against job descriptions
- PDF and DOCX file processing with content extraction
- Interactive scoring visualizations showing match strength and gaps
- ATS compatibility assessment with specific optimization suggestions
- Real-time keyword analysis identifying missing critical skills
EventFlow Calendar Application
A modern React + Vite calendar and event management app with drag-and-drop scheduling, weather-aware planning, and a sleek responsive UI. Designed for users who want fast navigation, rich event controls, and a smooth experience on any device.
Key Features
- Drag-and-drop event scheduling with color-coded categories and tags
- Recurring events to organize work, personal tasks, and reminders
- Integrated weather forecasts to plan events around local conditions
- Dark/light theme and mobile-first responsive layout