Machine Learning CI/CD Pipelining

• Productionizing machine learning
• Machine learning CI/CD deployment
• Delivering ML outcomes to users
• Data science production

Fraud Detection and Prevention in Healthcare Claims

• Challenges in payer and provider Fraud
• Methods to reduce false positives by 10%
• Increase accuracy of ID and intervention
• Use of visualizations for explainable ML

Multitouch: Nuclear Power Plant

• Bi-temporal User Interface
• Time Series Data
• High Performance Computing
• Real Time Data interfacing

Predictive Analytics for Kinsa Health

Opioid Fraud Detection Using Deep Embedding