Sep 2023 – Jul 2025 · 1 yr 10 mos · On-site

• Represented Providence as a data science consultant within AdventHealth’s Corporate Data Science team, reporting directly to the Director, Alam Saad. In this capacity, I led the development of enterprise AI solutions and predictive models designed to optimize executive decision-making and operational efficiency.
• 1. Architected an agentic RAG ecosystem by implementing semantic caching and custom persona-constraints to reduce executive time-to-action by 30%.
• 2. Engineered an end-to-end ML pipeline for revenue forecasting utilizing GBM and automated feature engineering to achieve 92% accuracy and accelerate budgeting by ~7 days for RCM stakeholders.
• 3. Developed a synthetic data engine by deploying an LLM-as-a-Judge framework for text-to-SQL validation which cut manual QA by 20 project-days per dataset.
• 4. Standardized C-suite KPI reporting by building centralized PowerBI dashboards with unified data schemas to eliminate ad-hoc reporting requests and streamline weekly reviews.

Jul 2023 – Sep 2023 · 2 mos · On-site

• Prototyped a Power BI driven summary generation pipeline that reduced executive reporting turnaround from several days to just minutes.

Jan 2023 – Jun 2023 · 5 mos · On-site

• Analyzed 300K+ HCAHPS surveys with sentiment analysis and topic modeling, building an opinion-extraction model that revealed patient pain points and drove a 12% lift in satisfaction scores.

May 2022 – Jul 2022 · 2 mos · Bengaluru, Karnataka, India

• Built an automation framework for microcontroller testing that improved test execution efficiency by 30% and sped up regression cycles.