Spandan Verma
Commercial Strategy Analyst @MSD
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WORK HISTORY
Commercial Strategy Analyst @MSD
Mumbai, IN
Commercial Strategy Analyst at MSD (Merck & Co, Inc.), a leading global pharmaceutical company, on the US Oncology Commercial Analytics team supporting the Keytruda franchise across sales force effectiveness, HCP targeting, and commercial planning.• Designed go-to-market targeting strategy for a Keytruda indication launch, identified high-potential HCPs through early adopter propensity modeling, directly informing field force prioritization and territory-level resource allocation.• Led HCP engagement analyses across multiple therapeutic areas, delivering segmentation frameworks, adoption pattern insights, and campaign performance measurement to US brand teams and field leadership, shaping how commercial teams engage physicians.• Owned monthly commercial reporting across 22 oncology indications, synthesizing field force reach, detailing patterns, and territory performance into strategic insights reviewed by senior US stakeholders.• Built and deployed an AI-powered conversational agent for commercial analytics, driving significant efficiency gains in reporting turnaround while enabling self-serve access to anomaly detection and cross-metric insights for commercial teams.• Collaborated cross-functionally with US-based brand managers, field strategy leads to align analytical output with commercial priorities and go-to-market timelines.
EDUCATION
Birla Institute of Technology and Science, Pilani
Bachelor's Degree, Engineering
ABOUT SPANDAN VERMA
Commercial Strategy Analyst at MSD (Merck & Co.), a leading US-based global pharmaceutical giant. Working on the US Oncology Commercial Analytics team across the Keytruda franchise, the world\'s largest oncology brand. I drive sales force effectiveness, HCP targeting, and go-to-market strategy by combining commercial thinking with advanced analytics. My work directly informs how field teams are deployed, which physicians to prioritize, how brand campaigns perform, and where commercial resources should be concentrated across tumor areas, essentially shaping the commercial playbook for billion-dollar indication launches. On the execution side, I build AI-powered tools that turn complex analytical workflows into self-serve, scalable systems, conversational agents, propensity models, automated reporting, so that commercial teams spend less time waiting for data and more time acting on insight. Background in Engineering from BITS Pilani. Previously in quantitative research and algorithmic trading. Interested in moving deeper into commercial strategy in healthcare, I like the problem of figuring out how pharma companies launch and compete, and I think pairing that with real AI capability is where I can add the most value.
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