
B.S. Double Major — Mechanical & Industrial Engineering
Boğaziçi University
I completed a double major in Mechanical Engineering and Industrial Engineering at Boğaziçi University.
Faculty Member · AI and Digital Transformation Advisor
With more than 25 years of Silicon Valley operating experience and teaching at Boğaziçi and U.C. Berkeley Haas, I help organizations clarify their AI agenda around the right problem, priorities, ownership, and a measurable first pilot.

Through education, advisory, and executive programs, I have worked with institutions and teams across sectors.
Corporate leadership experience · Academic institutions · Program and advisory collaborations
Organizations I have worked with







I treat AI not as a tool list, but as a change in decisions, processes, and business outcomes.

Boğaziçi University
I completed a double major in Mechanical Engineering and Industrial Engineering at Boğaziçi University.
Koç Holding
I analyzed production and sales performance across automotive companies and prepared input-price analysis for central purchasing decisions.
University of California, Berkeley
I earned my MBA at Haas with the International Students Award and Haas Scholarship.
JPMorgan Chase
I led customer acquisition, retention, fraud, product-development, and profitability analytics.
U.C. Berkeley
I teach quantitative methods connected to real business decisions, with a strong bias for practical industry application.
SPrimeData
I founded a data company serving unbanked and underbanked populations and sold it to Infogroup, now Data Axle.
PayPal
I used machine learning and scenario analysis to guide acquisition, retention, investment, and growth decisions.
Walmart eCommerce
I led business intelligence, performance measurement, and AI-enabled insight across Walmart eCommerce business lines.

Boğaziçi University
I teach artificial intelligence, data, and decision-making as practice-led programs for students and executives.
I combine 25+ years of Silicon Valley operating experience in technology, finance, and e-commerce with academic teaching.
AboutMove the AI agenda beyond a tool list and into decisions, processes, teams, and measurable outcomes.
You need to weigh use cases and pilot candidates by impact, feasibility, and risk.
Leadership, business units, and technical teams need a common decision agenda.
You want experiments to become working solutions with ownership, measures, and a real workflow.
The first conversation clarifies the decision or process that needs to change, the first opportunity areas, and the scope of the next step.
Let's discuss your starting pointEvery engagement is shaped around the current state; these offers are designed to start the first conversation in the right place.
For boards, CEOs, and function leaders: an institution-specific agenda of opportunity, risk, and decisions.
Possible outcome
A shared decision agenda and priority frame
With business units and transformation teams: prioritize use cases and pilot candidates.
Possible outcome
A prioritized use-case list
For sales, marketing, and customer teams: AI-supported research, decisions, and workflows.
Possible outcome
A practical process and team working frame
The first conversation clarifies the decision or process that needs to change, the first opportunity areas, and the scope of the next step.