Can John Ozuretmen

About Can John Ozuretmen

Director within KPMG’s Technology team, bringing over 12 years of expertise in Artificial Intelligence, Business Intelligence, and Optimization/Simulation. Combining strategic vision with technical depth to lead complex client engagements—from shaping analytics strategies to designing and delivering customized solutions. Since joining KPMG in 2015, I have successfully managed numerous initiatives, guiding high-performing teams across onshore, offshore, and multi-firm collaborations. My work spans the development of innovative data and analytics frameworks for diverse sectors, including Healthcare, Consumer & Retail, and Government.Experience Highlights- Leading the design and delivery of tailored analytics solutions, from initial ideation and requirements gathering through full-scale deployment- Expert in translating complex client challenges into actionable requirements and measurable deliverables- Driving innovation through Proof-of-Concept solutions that address diverse business needs- Proven success in business development initiatives, fostering client relationships and securing new opportunities- Strong track record in building high-performing teams and leading recruitment efforts.Interests- Generative AI applications in business to create tangible value- Schedule Optimization and Workforce Planning- Advanced Optimization and Operations Research (Gurobi, CPLEX)- Digital Twin and Simulation (AnyLogic, SimPy)- Business Intelligence and Executive Dashboards (Power BI, Tableau)- Hyperscalers / Cloud Platforms (MS Azure, GCP, Azure Databricks)- Analytics Consulting (Business Development, Sales, Project Delivery, Requirements Gathering, Project Management, Agile/Scrum Methodology, Proof-of-Concept / Minimum Viable Product development, Recruiting, Building Teams, Managing Remote/Offshore teams)

Experience

1. Director, Analytics & Ai

   KPMG US

   Oct 2023 — Present · Atlanta, GA, US

   Led cross-functional teams to deliver innovative solutions across AI, optimization, and GenAI domains, including- Long-Term Audit Scheduling Optimization – Built an advanced optimization engine to generate full fiscal-year schedules for engagements and employees, satisfying complex hard and soft constraints such as project milestones, staff leverage, location, and skill alignment by using the power of GenAI- GenAI-Enhanced Data Processing & Policy Harmonization – Developed automated pipelines for healthcare clients to streamline data processing and unify policy documents- Government Grants Platform Chatbot – Delivered a GenAI-powered conversational assistant to improve user experience and policy navigation- Job Description Harmonization – Applied GenAI techniques to standardize and align job descriptions for a major healthcare organization- M&A Integration Cost Prediction Tool – Designed a predictive model with a custom UI to estimate integration costs for mergers and acquisitions- Inspection Scheduling Optimization – Implemented scheduling algorithms to meet strict rules on staff availability and deadlines- Shift Optimization for Government Agencies – Created workforce allocation models to optimize shift patterns under operational constraints- Fit-Gap Reporting Solutions – Leveraged GenAI to transform knowledge articles and deliver automated fit-gap analysis for Workday and ServiceNow implementations.

Education

• Georgia Institute of Technology

  Master of Science (M.S.), Industrial Engineering

  2010 — 2012

• Harvard University

  Summer School, Game Theory & Industrial Organizations

  2009 — 2009

• Orta Doğu Teknik Üniversitesi / Middle East Technical University

  Bachelor of Science (B.S.), Industrial Engineering

  2005 — 2010

Skills

• Sas
• Pricing
• Optimization
• Revenue Analysis
• Minitab
• Operations Research
• Statistical Data Analysis
• R
• Gams
• Customer Segmentation Strategy
• Lindo
• Simio
• Matlab
• Arena Simulation Software
• Sql
• Data Analysis
• Industrial Engineering
• Statistics
• Analysis
• Statistical Modeling
• Mathematica
• Mathematical Modeling
• Supply Chain Engineering