Akash Kunj

Akash Kunj

Technical analytics professional with ~8 years of Life Sciences experience, specializing in RWD/RWE, data quality frameworks, and end-to-end data strategy to enable faster, evidence-driven decision-making. Skilled in cohort design, data interoperability, governance, and optimizing RWD licensing through strong negotiation and cost-saving strategies. Experienced in identifying methodological gaps in RWE studies and leading cross-functional teams to deliver scalable, high-quality analytical solutions that support discovery, development, and evaluation of new therapies.

Work Experience:

8 Years

Industry:

Consulting & Strategy, Data Science & Analytics, Healthcare Management, Project & Program Management, R&D

Function:

Pharmaceutical & Healthcare | Consulting

Work Experience

Manager – Real-World Data Evidence & Strategy (04/2024–Present)

Lead 10+ analytics team delivering enterprise RWE through scalable pipelines and protocols.
Owned RWD licensing strategy; led 20+ negotiations delivering $10M+ savings and 15% cost reduction via automation.

Indegene Consulting | Analytics Lead (04/2023–04/2024)

Built ML HCP targeting driving 15% QoQ NBRx growth (Japan, rare disease).
Delivered $7M savings via ML pricing; converted RFPs generating $3M growth.

GSK | Lead Analyst – RWD (08/2022–04/2024)

Led end-to-end RWE for pipeline assets; managed 6-member team.
Automated SQL/SAS frameworks reducing QC by 25%.

IQVIA | Associate Consultant (04/2020–08/2022)

Delivered patient analytics, feasibility, HCRU and cost studies supporting BD.

Mu-Sigma | Decision Scientist (01/2018–04/2020)

Built ML effectiveness models driving 20% YoY adoption.
 

Accomplishments
  • IQVIA Impact Awards - Deployed ML Models to compare drug effectiveness and long-term cost burden to boost and socialize drug with KOL. Impacting an increase in adoption/ uptake by 20% YOY
  • GSK Gold Awards Led an initiative to create a reusable code repository to optimize coding standards and reduce time by
    designing end- to-end automated processes using SQL/SAS macros to increase efficiency and minimize human errors, reducing QC time by approximately 25%. 
  • GSK Silver Awards - Team Building and Onboarding Startegy development - Actively involved in the recruitment process and successfully onboarded 10+ people into the team
     
Education
  • Indian Institute of Management Ahmedabad (IIMA) — Ahmedabad, India
    Master of Business Administration (MBA), Strategy & Business Analytics
    2024 – 2026
  • PES University — Bangalore, India
    Bachelor of Engineering
    2013 – 2017
Certification
  • Coursera Basic Statistics - University of Amsterdam
  • Epidemiology- The Basic Science of Public Health - University of North Carolina
  • Supervised Machine Learning: Regression and Classification- Andrew Ng
Extra-curricular

National Level Chess player in under 16 category from KV Delhi cant- 2007
Marketing Head for college technical fest - Onboarded Sponsors from different sectors