Building Production ML Systems
that Drive Real Business Results
Data Scientist & ML Engineer with Finance/Accounting expertise (FCCA, MBA Finance) delivering End-to-End ML Solutions across Finance, Healthcare, Retail, Insurance, NLP, Computer Vision, and more
Measurable Business Impact
Production-grade ML systems delivering real ROI across financial services, healthcare, retail, and more
Projects Deployed
Potential Impact
Average Accuracy
Industries Served
Every project includes production deployment (FastAPI, Docker), explainability (SHAP, Grad-CAM), and comprehensive business metrics tracking ROI, cost reduction, and accuracy improvements.
Featured Projects
Production ML systems with proven business impact across finance, healthcare, and retail
FINANCE
Credit Card Fraud Detection
Real-time fraud detection using XGBoost and SHAP achieving 97% ROC-AUC and $131K savings per 100K transactions
HEALTHCARE
COVID-19 X-ray Classification
Deep learning for medical imaging with 92% ROC-AUC and Grad-CAM explainability for clinical decision support
RETAIL
E-Commerce Customer Churn Prediction
Cost-optimized machine learning with 98% ROC-AUC and 60% cost reduction through threshold optimization
NLP
Financial Sentiment Analysis
NLP platform with BERT-MPNet achieving 81% accuracy on 4,846 expert-annotated financial sentences
Technical Expertise
End-to-end ML engineering from research to production deployment with proven business impact
ML/DL
NLP
Computer Vision
Production/Deployment
Data Engineering
Domains
Production-focused approach: Every project includes FastAPI deployment, Docker containerization, comprehensive testing, SHAP/Grad-CAM explainability, and business metrics tracking (ROI, accuracy, cost reduction).
Let's Build Something Together
Open to senior data science roles, ML engineering positions, and consulting opportunities. Let's discuss how production ML can drive business value.