Ujjwal Kant

• Led a team of 5 data scientists in designing, building, and implementing an LLM-powered data governance system to effectively manage and ensure the integrity of over 400 million client claims.
• Spearheaded the successful migration of all client-oriented data products to the Databricks platform, resulting in a significant cost reduction exceeding 40% and enhancing overall performance and scalability.
• Developed and deployed an innovative LLM-Powered contract ingestion engine, automating the settlement of new client contracts and substantially increasing operational efficiency.

· Automated monthly claims data reporting using Python, SSMS, VBA, and Word, reducing processing time from 1 week to 5 hours.

· Built Python-based UI tools (tkinter) for Data Quality and De-Identification, enabling company-wide usage without technical expertise.

· Developed a Patient Matching Algorithm (>99% accuracy) using ensemble machine learning models to link records across healthcare datasets.

Led a team to create predictive rising risk models, identifying at-risk patients for targeted interventions.

· Quantified the impact of Account Manager activities on sales (~15% of total brand sales) using regression and promotion response modeling.

· Automated 100+ geographical dashboards for oncology drugs using VBA Macros.

Conducted sales force sizing analyses to optimize workload distribution and territory creation.