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Operationalized an AI-driven clinical decision support system for early diagnosis
Helped the client handle the complexities of operationalizing the algorithm on a cloud-based platform that integrates seamlessly with the hospital's electronic health records (EHRs).
Reimagined claims denial management with AI for an RCM company
Developed machine learning models to predict medical claims denials with 95% precision and 74% recall, using advanced algorithms and feature engineering to improve accuracy, based on 10.5M claim lines.
Transformed hearing care with machine learning
Developed a machine learning platform for a leading hearing benefit provider to predict sensorineural hearing loss risk, analyze utilization disparities, and build targeted care management cohorts using predictive modeling and AWS Sagemaker.
Improved claims auto-adjudication from 75% to 92%
Built an AI model to classify claims, resulting in a 75-92% improvement in auto-adjudication rates, ~$5 million in annual savings, and seamless automation of workflows and real-time performance dashboards integrated into existing systems.
Developed an ML-based face morphing and age progression application
Enabled self-wrinkle and age progression analysis, remote consultation, and unbiased evaluation for end users of a leading bio-pharma company with 90% accuracy and high-speed processing in image analysis and resolution.
