- Experience: 7+ years of hands-on experience in healthcare/pharmaceutical analytics and 2+ years in a technical leadership or client-facing capacity.

- Pharma & RWE Domain Expertise: Proven hands-on experience working with longitudinal patient-level claims and EHR datasets (specifically Optum, Komodo, and IQVIA), with deep familiarity in patient journey mapping, adherence metrics, DOT calculations, and survival analysis (e.g., Kaplan-Meier, Cox Proportional Hazards).

- Core Data Science & Programming: Mastery of Python and SQL for large-scale data manipulation and modeling, grounded in a strong foundation of inferential statistics, hypothesis testing, and predictive modeling.

- Advanced Analytics: Demonstrated experience applying NLP, Deep Learning, Time Series Forecasting,



Graph ML, Reinforcement Learning, and Explainable AI (e.g., SHAP, LIME) to real-world healthcare or commercial problems.

- Cloud & Data Visualization: Proficiency in cloud ecosystems (AWS, Azure, GCP) for scalable model development and deployment, alongside solid data storytelling skills using Tableau, Power BI, Matplotlib, and Seaborn.

- Leadership & Execution: Track record of leading Agile/Scrum delivery teams, designing scalable analytical solutions, mentoring talent, and managing senior client relationships.

📌 Data Science Manager (India)
🏢 TRIGENT SOFTWARE PRIVATE
📍 India