Majd Kabbani

I’m a CRM and operations analyst with 4+ years of Canadian experience, focused on turning messy revenue data into reliable workflows. In my current role, I engineered Python and VBA automation that reduced per-dataset processing time by 80–85% (from ~30 minutes to ~5 minutes) and cut data error rates from 30–40% to under 10% through rule-based validation and exception handling.

I built a scalable automation framework adaptable across 10+ OEM datasets, standardizing workflows to improve cross-team consistency. I also investigate and resolve client data discrepancies end-to-end, validating records across internal and client-facing systems to protect accuracy and reduce rework and financial adjustments.

Before that, I served as a Sr. Client Support & CRM Specialist, where I leveraged Salesforce CRM daily to manage cases, track interactions, and maintain data integrity across the dealer network. I identified recurring operational patterns through analysis of client inquiries and system usage data, then translated dealer pain points into structured recommendations for product and systems teams.

Earlier, as a Dealer Support Representative, I managed high-volume dealership accounts and strengthened my understanding of automotive dealer operations, financing workflows, and the Salesforce CRM ecosystem. I thrive in cross-functional environments where technical skills and business judgment both matter—and I’m excited to keep building data-driven, automation-first processes that improve pipeline reporting, adoption, and operational outcomes.