Verified Diploma
Operationalizing AI tools within enterprise constraints to drive measurable productivity gains. Focuses on practical workflows over theoretical tech.
Proof: Implemented AI-driven solutions at Accenture and KPMG to streamline reporting and process documentation. See Accenture AI Ops Case Study
Translating complex business requirements into actionable technical specifications. Bridging the gap between stakeholders and engineering teams.
Proof: Led requirements gathering for federal modernization projects at IBM and KPMG. See KPMG Case Study
Identifying bottlenecks in existing workflows and deploying optimized processes. Lean Six Sigma methodologies applied to modern SaaS environments.
Proof: Re-engineered field operations for global equipment manufacturers, reducing lead times. See Global Equipment Case Study
Guiding the rollout, configuration, and adoption of enterprise platforms (e.g., ServiceNow, Pega). Ensuring user readiness and system alignment.
Proof: Supported multi-million dollar Pega implementations at Accenture. See Accenture Pega Case Study
Designing engagement models that ensure long-term client retention and product utilization. Moving from reactive support to proactive value delivery.
Proof: Developed retention strategies and health scoring methodologies applied across B2B engagements.
Replacing manual, repetitive tasks with automated pipelines. Utilizing modern orchestration tools to eliminate human error and save hours.
Proof: Built automated status reporting and data extraction pipelines. See AI Projects
Creating clear, data-driven dashboards and briefs (BLUF) for senior leadership. Translating raw data into strategic insights for quick decision-making.
Proof: Handled executive briefings at KPMG and created reporting frameworks for federal clients.