Dwaipayan S.

About Dwaipayan S.

As an Associate Consultant in patient analytics, I work extensively with diverse healthcare data assets such as LRx (longitudinal prescriptions), Dx (diagnosis), EMR, LAAD, and PPlus. By integrating and analyzing these datasets, I help build a more complete view of patient behavior and treatment pathways. My work involves using SQL, PySpark, and Python to process large-scale data and solve analytical problems. I’ve contributed to projects focused on indication assignment, patient journey analysis, HCP Targeting, Cohort Building, and Treatment Pattern identification helping translate raw data into meaningful insights. I regularly work on a mix of ad hoc analyses, ongoing projects, and enhancements to existing pipelines, ensuring data accuracy and delivering insights under tight timelines. Beyond tools, I’m focused on improving how I approach problem-solving breaking down complex healthcare questions into structured, data-driven solutions. I’m particularly interested in leveraging data to drive better healthcare decisions and improve patient outcomes. Core Skills: SQL | PySpark | Python LRx, Dx, EMR, LAAD, PPlus Data Handling Patient Journey & Cohort Analysis Indication Assignment & Treatment Patterns Data Transformation, Validation & Analysis Machine Learning I’m driven by the idea of turning complex healthcare data into clear, actionable insights that can make a meaningful difference in patient outcomes.

Experience

1. Associate Consultant

   IQVIA

   Aug 2025 — Present · Bengaluru, IN

   helped me get this job

Education

• Banaras Hindu University

  Master's degree, Statistics

• Ex.Asutosh College

  Bachelor of Science - BS, Statistics

  2015 — 2018