Resume
Mohit Shukla
New York, NY · mohit2297@gmail.com · linkedin.com/in/mohit2297
Commercial analytics leader with 5+ years helping life sciences brand, sales, and marketing teams turn secondary data into revenue decisions. Pairs core commercial analytics — brand performance, patient analytics, forecasting, field-force effectiveness — with hands-on GenAI, agentic, and voice AI builds that put insight directly in the hands of field teams.
Experience
Manager, Commercial Analytics & AI (Life Sciences)
WNS, part of Capgemini · New York
- Strategic analytics partner to brand, sales, and marketing leaders across a multi-brand portfolio; built the KPI and insight layer (30+ standardized metrics) relied on by 2,000+ field users and VP stakeholders — cutting reporting cycles 40% and supporting $200M+ in tracked brand revenue.
- Lead secondary-data analytics across IQVIA (Xponent, NPA, DDD), claims, and specialty-pharmacy feeds: patient segmentation, source of business, and HCP- and territory-level opportunities that reshaped field targeting for three brands.
- Designed an agentic document workflow (Copilot Studio + Power Automate) generating structured commercial reports with 58 content controls and governed KPI tables — removing ~90% of manual drafting (~$180K/yr of analyst time).
- Built and deployed voice-to-CRM agents that log HCP interactions in ~60 seconds with built-in compliance checks — cutting post-call admin ~70% and raising CRM completeness above 95%.
- Integrated Power BI Copilot for natural-language territory analytics, cutting rep-to-insight time ~60% with no technical training required.
- Manage a four-analyst pod and data vendors, owning methodology and quality standards under the clients' compliance and review requirements — an error-free record across regulated deliverables.
Senior Consultant, Commercial & Brand Analytics (Life Sciences)
WNS · New York
- Lead analyst across 12+ pharma sales programs for clients including Eli Lilly, Regeneron, Pfizer, Sanofi, Eisai, and BMS — spanning oncology, hematology, ophthalmology, and metabolic brands.
- Built brand-performance, gap-to-goal, and field-effectiveness analytics adopted by 5+ commercial clients; standardized 30+ KPIs and tripled active executive engagement.
- Stood up incentive-compensation and targeting analytics — alignment, call planning, share of voice — informing quota setting and field deployment.
- Automated Python/SQL validation and reporting pipelines, cutting manual effort 50% and removing ~$300K/yr of recurring work; formed an analytics Center of Excellence eliminating ~90% of duplicative reporting.
Analytics Consultant (client: Johnson & Johnson)
Turnberry Solutions · New Jersey
- Built 7+ Tableau dashboards and SQL data marts on a Snowflake migration for J&J's global Technology Services organization — cutting analysis cycle time 30% and growing the active user base from ~300 to 1,200+ through a product-focused approach.
Education
M.S., Information Technology & Analytics (Data Science)
Rutgers University — New Jersey
GPA 3.7 · VP, program student association · graduate teaching assistant
B.E., Electronics Engineering
University of Mumbai — India
Toolbox
IQVIA (Xponent, NPA, NSP, DDD), Symphony Health, claims/LAAD, specialty pharmacy, Veeva, Salesforce
Agentic AI (Copilot Studio, Power Automate), voice AI, RAG systems, Power BI (+ Copilot), Tableau, Spotfire, Qlik, Microsoft Fabric, Alteryx
SQL, Python, DAX, Snowflake
Oncology, hematology, ophthalmology, immunology, bone health