Open to opportunities

Peyami KENANOĞLU

@peyamikenanoglu

Message

I build validated machine learning systems for fraud, churn, forecasting, and risk decisions.

Turkey

Message

What I'm looking for

I'm looking to build trustworthy, deployable machine learning solutions for banks, financial services, and data-driven organizations, especially in fraud, risk scoring, customer analytics, forecasting, and decision support.

I build end-to-end machine learning projects for fraud detection, customer churn, revenue prediction, recommendation systems, and construction delay-risk assessment. My IEEE-CIS fraud ensemble reached ROC-AUC 0.9292 and includes a FastAPI/Uvicorn service and Streamlit frontend.

My PhD research at Istanbul Technical University develops an AI-enhanced machine learning framework for delay-risk assessment in building projects. I combine construction risk-management knowledge with leakage-safe validation, explainable AI, calibration analysis, and decision-support logic.

Before focusing on AI and data science, I managed design, site coordination, construction supervision, scheduling, cost tracking, and subcontractor coordination across architecture and construction projects. I bring that business and project perspective to practical, trustworthy risk-scoring models.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Independent AI/Data Science Portfolio Projects

May 2025 - Present (1 year 3 months)

Built and documented public GitHub projects in fraud detection, churn prediction, revenue prediction, recommendation systems, and applied AI workflows. Focused on business-critical and risk-sensitive ML practices, including leakage-safe validation, imbalanced classification, threshold tuning, model evaluation, and deployable ML applications.

Python Pandas NumPy scikit learn LightGBM XGBoost CatBoost fastAPI Streamlit SHAP PR AUC Log Loss Leakage Safe Validation Model Evaluation Fraud Detection Churn Modeling Recommendation Systems

Education

Degrees, certifications, and relevant coursework

Istanbul Technical University

Doctor of Philosophy, Project and Construction Management

2020 -

Grade: 3.86/4.00

Conducting PhD-level research on an AI-enhanced machine learning framework for delay-risk assessment in building projects. Dissertation in final stage.