I'm a product manager with a technical background. I work on digital health, SaaS, and data-driven products. Turning ambiguity into structure, gathering teams around a clear goal, and ensuring the work produces a measurable outcome. That is the core of product management for me.

Team lead at İstinye Genç Yeryüzü. Children's health programs and IEEE Computer Society presidency at the university.

New places, architectural details, and time in museums. Photography is a natural part of the process.

Thinking patterns, work reflexes, and body language. Reading these well makes for clearer decisions in team, product, and communication.
A selection of work across health technologies, financial technologies, B2B SaaS, AI-powered products, and marketplaces. For the full catalogue, visit the Work section.
Diabetes risk prediction on the PIMA dataset with an explainable AI approach. Model comparison, SHAP explainability and a decision-support prototype.
An sklearn-compatible Python toolkit bundling 14 hybrid tabular classifiers, experiment protocols, fairness audits, drift monitoring, and a structured HTML report generator behind one drop-in package.
A bot that tracks real-time earthquake data and sends structured notifications over Telegram. Runs on open data from Kandilli Observatory and USGS.
A data product that turns financial indicators into a decision-support score. Data entry, score calculation, risk classification and dashboard logic in one product flow.
Short writings on product, systems, and how I work.
The story of an obsessive target on the PIMA diabetes dataset, a systematic investigation across 9 sprints, and the Python package that emerged from what remained.
ReadIn product work, not everything is clear from the start. What matters is understanding the matter correctly and choosing the right first step.
ReadVisible features are part of the work. The real task is understanding the need correctly and setting the product on a sustainable foundation.
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