About
The interesting problems live between the data and the decision.
I lead commercial analytics and AI for life sciences at WNS, part of Capgemini, working out of New York. My job sits in the gap most organizations struggle with: the data exists, the tools exist, and yet decisions still run on instinct and stale spreadsheets. Closing that gap, with analytics people trust, AI that earns its place, and operating models that survive contact with reality, is the work I care about.
The way I work is forward-deployed: embed with the team, find the decision that actually matters, ship the system that improves it, and stay until it's adopted. Pharma commercial is where that playbook is proven; nothing about it is pharma-specific.
I got here the long way: electronics engineering in Mumbai, a data science master's at Rutgers, dashboards at Johnson & Johnson, then four years inside pharma commercial programs: AstraZeneca, Johnson & Johnson, ALK, Eli Lilly, Regeneron, Pfizer, and others. Somewhere along the way the job changed from building reports to designing the systems that make reports unnecessary: standardized KPI layers, agentic document workflows, voice agents in the field.
What hasn't changed is the standard I hold the work to. Every claim sourced. Every release signed. Every number on this site traceable to a document, an email, or a public record, the same discipline I bring to client work.
What I do
Decision analytics
Brand performance, patient analytics, forecasting, and field-force effectiveness on secondary data: IQVIA, claims, specialty pharmacy.
Applied AI
Agentic document workflows, voice-to-CRM agents, and copilot integrations that put insight where the work happens. Built, shipped, and adopted.
Operating models
KPI governance, analytics centers of excellence, and core-configurable delivery frameworks that make change cheap.
Executive partnership
Trusted by VP- and SVP-level stakeholders to turn ambiguous asks into shipped systems, and to say no when the data can't support a claim.
How I work
Decisions are the unit of work
A dashboard, a report, an agent: none of it matters unless a decision changes. I start every engagement by naming the decisions the system should make faster or better, and I design backward from there.
Client leadership credited the work with directly supporting leadership decision-making · may 2026
Adoption is the real metric
Shipped is not the same as used. I treat analytics like a product: onboarding, training, office hours, and versions. If the field doesn't open it on a Tuesday morning, it doesn't exist.
Grew a J&J data product from 300 to 1,200+ active users; 2,000+ field users on the current platform
Make change cheap
Pharma programs pivot constantly: new brands, new goals, new territories. I build a standardized core with configurable edges, so a pivot costs days instead of quarters.
Re-architected 140+ fragmented reports into a 70/30 core-configurable framework; cut reporting build time 40%
Automate the toil, keep the judgment
AI should absorb the work nobody defends (drafting documents, logging calls, reconciling data) and hand the judgment back to people. Every agent I ship has a human on the loop and a paper trail.
Agentic workflow removed ~90% of manual document drafting; voice agents cut post-call admin ~70%
Show the receipts
In a regulated industry, trust is the product. Signed release documents, documented data lineage, compliance checks in the workflow. Every claim on this site is sourced the same way.
An error-free record across regulated deliverables, each release signed off in writing
On the record
The journey
- 2026–
Commercial analytics & AI leadership
WNS, part of Capgemini · New York
Strategic analytics partner to brand, sales, and marketing leaders across a multi-brand pharma portfolio, owning the KPI and insight layer behind 2,000+ field users and $200M+ in tracked brand revenue, while shipping the agentic and voice AI systems that change how that work gets done. Manages a four-analyst pod and the data vendors behind it.
- 2022–2026
From reporting to an operating model
WNS · client programs incl. AstraZeneca, ALK, Eli Lilly, Pfizer, Sanofi, Regeneron, Eisai, BMS
Lead analyst across 12+ pharma sales programs spanning oncology, hematology, ophthalmology, and metabolic brands. Standardized 30+ KPIs, tripled executive engagement, automated ~$300K/yr of recurring work, and built the client partnerships that turned one-off dashboards into multi-year programs.
- 2021–2022
Analytics as a product
Johnson & Johnson (via Turnberry Solutions)
Built Tableau dashboards and SQL data marts on a Snowflake migration for J&J's global Technology Services organization. Treating internal data assets as products grew the active user base from ~300 to 1,200+ and cut analysis cycle time 30%.
- 2019–2020
The analytical foundation
Rutgers University · New Jersey
M.S. in Information Technology & Analytics (GPA 3.7), Vice President of the program's student association, graduate teaching assistant. Machine learning, forecasting, and the habit of explaining technical work to non-technical rooms.
- 2015–2019
Engineering roots
University of Mumbai · India
B.E. in Electronics Engineering. First databases, first sensors, first systems that had to work outside a slide deck.
Recognition
Outstanding … Check another one — and the largest one — off the list! Thousands of data points and the experience from the user perspective with the dashboard is so fast and seamless — what an incredible job well done!
Amazing partnership over the last 2 years! Thanks everyone for your ongoing customer intimacy — this is a very important customer to Learning Solutions.
The various dashboards that Mohit developed helped our organization see performance and drive improvements and behavioral changes to achieve our goals over time … He collaborated with our partners, recommended solutions, and always communicated clearly.
Mohit possesses a unique combination of technical expertise, project management skills, strategic thinking, and collaborative spirit.
Formal recognition
Unsolicited client commendation
An AstraZeneca program leader wrote, unprompted, to agency leadership calling the team's work “second to none.”
April 2025
Strategic partnership recognition
Formal recognition for two years of on-time delivery on the AstraZeneca analytics program, with program leadership reporting that the client views the work as “groundbreaking.”
May 2026
League of Champions: Transform the Organization
WNS company-wide recognition for organizational transformation.
September 2023
League of Champions: Live the Values
WNS company-wide recognition; citation: “Mr Fantastic!”
December 2023
League of Champions: Excel @ Work
WNS company-wide recognition for delivery excellence.
January 2023
Say hello
I answer thoughtful email.
Whether it's a role, a hard analytics problem, or a disagreement with something I've written here, mohit2297@gmail.com reaches me. You can also find me on LinkedIn or ask the assistant first.