Cross-functional professional with 5+ years bridging finance, healthcare, and technology
Data scientist combining analytical expertise with business operations experience. Skilled in Python, SQL, Power BI, and machine learning to deliver data-driven solutions with measurable impact.
Machine Learning & AI
Data Analysis & Visualization
Development & Tools
SVHN Digit Recognition
CNN Architecture Optimization | 88.94% Accuracy
Achieved 88.94% accuracy with 38.6% parameter reduction through systematic hyperparameter optimization. Conducted comprehensive analysis of model complexity, learning rates, and batch size impacts for edge deployment scenarios.
Healthcare Fraud Detection Platform
Medicare Claims Analysis | Unsupervised ML
Engineering end-to-end fraud detection system analyzing 3+ years of Medicare claims using unsupervised ML. Deployed MLOps infrastructure with Docker, Streamlit dashboards, and FastAPI real-time scoring.
Bikeshare User Analytics
Marketing Strategy & Customer Segmentation | R Programming
Analyzed 5M+ ride-sharing records to identify usage patterns between member segments. Delivered targeted marketing strategy with 5 actionable recommendations for customer acquisition and retention.
HR Analytics Dashboard
Workforce Planning & Attrition Analysis | Power BI
Built interactive dashboard analyzing 6M+ HR data points with advanced DAX calculations and row-level security. Enabled data-driven decisions for talent retention and organizational restructuring.
- MIT Professional Education - Applied Data Science (2025)
- Google - Data Analytics Professional (2024)
- Microsoft - Power BI Data Analyst Associate (2024)
- MBA - Finance Concentration, La Sierra University
- Currently Pursuing - Azure Data Scientist, IBM Data Science
Background: Business Analyst (DC consulting, $50M+ healthcare projects) → Operations Manager (restaurant industry) → Data Scientist. I leverage cross-functional experience and stakeholder management skills to deliver technical solutions with clear business impact.
Currently building: End-to-end production ML systems demonstrating enterprise-scale capabilities for healthcare analytics.
