Reshab Mehta

Business strategy roles

Mid Career

Exp. Level

Experience

2026 – 2026

SERVICENOWSanta Clara, CA

Architected a repeatable co-sell framework across 20+ data platform partners, including BigQuery and Teradata, replacing ad hoc processes with a scalable partner onboarding model
Conducted 10+ stakeholder discovery sessions across solution consulting, sales, field enablement, and customer success teams, mapping gaps for the co-sell positioning framework
Led a 5-member squad, facilitating 21 hours of cross-functional collaboration across research, synthesis, and competitive analysis to deliver an executive-ready presentation
Benchmarked ServiceNow's developer ecosystem against Salesforce, Power Platform, and Workday, layering in AI-native market trends to surface 8 critical platform investment gaps
Audited 35+ dispersed partner assets, structuring existing content into a standardized joint solution blueprint template to scale across future data platform partnerships

2022 – 2025

EYLos Angeles, CA

Worked on post-merger integration for $50B+ M&A, delivering 15 process guides and validating data migration across two disparate systems, driving adoption and accuracy
Benchmarked data and analytics capability gaps for global pharmaceutical client, informing $5M prioritized investment roadmap that drove enterprise-wide efficiency and scalability
Led Fit-Gap Analysis workshops for global data-center leader, applying value-risk framework boosting capabilities rollout efficiency by 18% and reducing cycle time by 10%
Coordinated project mgmt. activities across 5 workstreams by consolidating updates, tracking dependencies, and facilitating workshops, aligning teams to execute 21 key deliverables
Trained 50+ client affiliates on new system transactions and process changes during go-live, driving adoption and strengthening confidence in the production environment
Conducted assessments for Fortune 500 clients across technology, energy, and consumer products sectors, delivering insights that drove million-dollar transformation roadmaps

2022 – 2022

HCL AMERICA INCRemote, CA

Collaborated with senior data scientists to streamline data extraction pipelines, improving processing time by 25% without accuracy loss in downstream models
Built predictive analytics project using Python to analyze customer behavior through kmeans clustering and heat maps, informing targeting strategy and A/B test design
Implemented and evaluated classification and regression models, deriving actionable insights into consumer behavior for strategic decision-making
Engineered scalable data cleaning pipelines with pandas and NumPy, handling missing values, encoding, and feature scaling to prepare datasets for advanced modeling