- Client-facing technical ML solutions lead for fine-tuning & serving LLMs

- Acted as the DS product lead for the complete development and deployment of a customized C3 AI CRM solution, achieving up to 90% accuracy in sales forecasting, resulting in a 9x reduction in errors and a potential $30 million revenue uplift.- Delivered multiple product demos in pre-sales customer engagements in partnerships with sales and pre-sales.- Redesigned the explainable AI/evidence package module and drove user adoption. - Authored product requirement specifications & case studies focused on AI use cases.- Led the end-to-end prototyping, integration, and launching of the first-generation GenAI demo for CRM product, scaling to 50+ customers.

Selective customer solutions include:- Credit risk & fraud detection product for a public sector client: improved an existing credit risk model by developing an analytics-based detection & validation framework, which resulted in a 30% increase in fraud detection accuracy and >90% reduction in processing time.- Revenue cycle management for a healthcare client: developed a two-tiered tree-based classifier + clustering ML solution to predict claim denials and potential denial reasons which led to up to $20 million in potential revenue uplift from preventing claims denials.- Meter Analytics Solution for a utilities client: developed 13 end-to-end scalable machine learning / analytic based solutions to detect anomaly meters activities automatically and boosted field workers’ efficiency by ~92%.

- Developed a GLM-based profitability scoring model with historical claims data and 3rd party data sources with >70% accuracy score.- Developed predictive models for payment fraud detection and prevention; Evaluated multiple methods such as random forest and logistic regression and chose the final model with >90% accuracy.

- Quant Strats

- Tax-exempt market pricing