Virender Singh

Designed and launched an AI-powered territory intelligence platform for Vaccines field teams, combining interactive territory analytics with a Snowflake Cortex agent to enable 500+ field and HQ users across 400 territories to self-serve targeting and planning insights; the embedded AI agent has answered 2k+ user questions. Built & deployed a Snowflake Cortex analytics agent for self-service commercial KAM analytics, embedding clarification & self-QC mechanisms against validated queries to reduce ad-hoc analytics effort by ∼60%. Revamped the field targeting strategy for a leading global pharmaceutical client, shifting from brand-level to portfolio-level targeting; automated scenario modeling to evaluate 16+ scenarios, reducing modeling effort by 50%.

Associate Consultant at ZS Associates (2024-07 – Present)

• Designed and launched an AI-powered territory intelligence platform for Vaccines field teams, combining interactive territory analytics with a Snowflake Cortex agent to enable 500+ field and HQ users across 400 territories to self-serve targeting and planning insights; the embedded AI agent has answered 2k+ user questions.
• Built & deployed a Snowflake Cortex analytics agent for self-service commercial KAM analytics, embedding clarification & self-QC mechanisms against validated queries to reduce ad-hoc analytics effort by ∼60%.
• Revamped the field targeting strategy for a leading global pharmaceutical client, shifting from brand-level to portfolio-level targeting; automated scenario modeling to evaluate 16+ scenarios, reducing modeling effort by 50%.
• Leading the design & development of an AI-powered commercial intelligence platform for leadership, defining product vision, technical architecture, feasibility roadmap & AI governance; triaged 16 capabilities into a 3-phase delivery plan for a next-generation field intelligence application built on Snowflake Cortex & Dataiku.
• Developed interactive Tableau dashboards for 40+ KAMs, translating business requirements into scalable analytics products with configurable KPIs, drill-down analytics & account-level insights to improve field decision-making.
• Designed & implemented test-control experimentation frameworks to measure sales campaign effectiveness across ∼66K accounts, applying Euclidean-distance & propensity-score matching, Wilcoxon significance testing & pre-post uplift analysis to generate statistically robust impact estimates, creating reusable methodologies for future campaigns.
• Automated recurring reporting workflows using Python, SQL & Dataiku, reducing manual effort by up to 95%; built a Python-based PPT automation framework, earning the ZS Ingenious Award & adoption across multiple teams.
• Mentored 4+ junior analysts across SQL, Tableau & Snowflake Cortex, enabling independent project ownership & expanding team capacity while managing parallel analytics & AI workstreams.

Analyst Intern at Fresh Bus (2023-05 – 2023-07)

• Developed a driver-ranking algorithm using real-time operational data & multi-metric performance scoring to evaluate driver performance & support data-driven incentive allocation.
• Developed real-time bus arrival prediction logic to support route planning & passenger experience; contributed to growth & operations initiatives spanning referral-program design & vehicle-scheduling analysis.

Growth & Strategy Intern at KYC Hub London (2023-03 – 2023-05)

• Conducted market & customer research across industries & geographies to identify target segments, customer pain points & growth opportunities, supporting go-to-market strategy & client acquisition.

BTech in Civil Engineering with Minors in Management – Indian Institute of Technology Gandhinagar (2020-11 – 2024-04)