Professional Summary
Data & AI Systems Leader | Implementation Expert | Strategic Advisor
I help enterprises build data and AI systems that actually work together — because I've spent 15+ years implementing, scaling, and fixing these systems from the inside.
Before advising others, I led the technical delivery of critical data infrastructure serving millions of customers across banking, fintech, and telecommunications. My approach combines strategic thinking with operational reality, regulatory expertise with innovation enablement.
- Led data transformations at major Turkish banks (BASEL, IRB, GDPR compliance)
- Designed real-time ML inference pipelines for fintech (fraud detection, credit scoring)
- Implemented enterprise data platforms serving millions of customers
- Migrated critical financial systems while maintaining operational continuity
Industries: Banking, Fintech (BNPL, Payments, E-Money, Open Banking), Telecommunications
Expertise: Data Architecture, Governance, AI/ML Operations, Regulatory Compliance
Professional Journey
Current Role
Independent Advisory (2024 - Present)
Strategic Advisor for Data & AI Transformation
After 15+ years building data and AI systems within major enterprises, I now help organizations navigate the complex intersection of data governance, AI implementation, and regulatory compliance. My advisory work focuses on turning fragmented data initiatives into integrated, scalable systems.
Specializations:
- Data-to-AI architecture design and integration
- Organizational maturity assessment and capability building
- Regulatory compliance frameworks (GDPR, KVKK, BASEL)
- AI governance and risk management strategies
Enterprise Leadership Experience
Banking Sector (10+ Years)
Senior Data Architecture & Analytics Leader Led enterprise-wide data transformations at Turkey's major banking institutions, managing teams of 20-100+ engineers and data professionals.
Key Achievements:
- Designed and implemented BASEL-compliant data infrastructure serving regulatory reporting requirements
- Built risk management platforms processing millions of transactions daily
- Led GDPR compliance initiatives with international consulting partnerships
- Migrated critical business intelligence systems (10,000+ artifacts) without operational disruption
- Established data governance frameworks across 12+ business units
Technologies: IBM BDW, SAS, Oracle, Hadoop ecosystem, DataStage, Cognos
Regulations: BASEL III/IV, GDPR, KVKK, BDDK requirements
Fintech Innovation (1+ Years)
Head of Data & AI Engineering
Scaled data and AI capabilities for leading Buy-Now-Pay-Later platform, building systems that processed millions of credit decisions and fraud assessments in real-time.
Key Achievements:
- Built ML inference pipelines achieving 80% good customer acceptance, 95% fraud rejection rates
- Reduced ETL processing costs by 60% through architecture optimization (Glue to DBT migration)
- Implemented real-time customer engagement platform integrating with CleverTap
- Designed Kubernetes-based model deployment enabling multi-region compliance
- Established data enrichment frameworks improving risk model performance
Technologies: XGBoost, AWS Lambda, Kubernetes, DBT, Python, real-time inference
Business Impact: 30-minute latency reduction, 60% cost optimization, regulatory compliance across markets
Telecommunications (5+ Years)
Data Warehouse & Analytics Engineering
Lead Built enterprise data platforms and customer analytics systems for major telecom operator serving 10M+ subscribers.
Key Achievements:
- Implemented Oracle Telco data model optimizing customer data storage and retrieval
- Built complex event processing (CEP) systems for real-time customer engagement
- Developed dealer compensation platforms providing performance visibility
- Led churn prediction and propensity modeling initiatives
- Established self-service BI capabilities reducing IT dependency
Technologies: Oracle, OBIEE, GoldenGate, CEP platforms, data mining tools
Scale: 10M+ customer records, real-time event processing, enterprise-wide BI deployment
Expertise Areas
Technical Capabilities
Data Architecture & Engineering
- Enterprise data warehouse design and implementation
- Real-time data pipeline architecture
- Cloud migration and optimization strategies
- Master data management and data quality frameworks
AI/ML Operations
- Production ML model deployment and monitoring
- Real-time inference system architecture
- Model governance and risk management
- MLOps pipeline design and automation
Regulatory & Governance
- GDPR, KVKK, BASEL compliance framework design
- Data governance policy and process establishment
- Risk management system architecture
- Audit and regulatory reporting automation
Industry Knowledge
Financial Services Deep Expertise
- Banking regulatory requirements (BASEL III/IV, BDDK)
- Credit risk modeling and IRB reporting
- Anti-money laundering and fraud detection systems
- Financial data consolidation and reconciliation
Fintech & Digital Payments
- Real-time credit decision systems
- Buy-now-pay-later platform architecture
- Fraud prevention and risk assessment
- Customer engagement and personalization
Telecommunications
- Customer analytics and churn prediction
- Campaign management and personalization
- Dealer network management systems
- Complex event processing for customer engagement
Approach & Philosophy
Implementation-First Mindset
"I design systems I would be comfortable operating."
My advisory approach is grounded in operational reality. Having built, scaled, and maintained these systems in production, I understand where theoretical frameworks break down and what actually works under pressure.
Every recommendation comes with implementation considerations:
- What organizational capabilities are required?
- How will this scale with your growth?
- What are the operational maintenance requirements?
- How will this perform under regulatory scrutiny?
