Data scientist with software engineering foundations and hands-on experience in Python, SQL, experimentation, behavioural analytics, and machine learning workflows. I build end-to-end data products, from mobile app analytics and operational dashboards to deployed ML systems and cloud-based pipelines. Currently completing a part-time MSc in Data Science at the University of St Andrews.
February 2025 – Present | London, United Kingdom
July 2024 – September 2024 | London, United Kingdom
January 2023 – February 2023 | Kocaeli, Turkey
April 2022 – December 2023 | Istanbul, Turkey
ML-driven recommendation work on a large real-estate dataset: automated collection, feature engineering, and prediction pipelines to surface undervalued listings, with strong offline model fit and repeatable scoring in the cloud.
Production iOS and Android app with local-first behavioural analytics, SQLite session tracking, and insight generation across practice rhythm, duration patterns, presence trends, gaps, and journaling behaviour.
Analysed 30,000+ matches across 10 seasons, building interactive visualisations using Python and Chart.js to explore performance trends, with a Django REST backend serving the data.
Built a supervised learning model to predict regional education indices from collected and engineered features, achieving R² = 0.98, with clear visualisations and reproducible preprocessing.
Designed and implemented a database-backed system for managing member profiles and events for a student AI/ML community.
Built a full-stack e-commerce platform with React and Flask, delivering secure authentication, product browsing, and order flows via REST APIs.
Simulated a low-latency order matching engine to evaluate price/time priority, order book updates, and throughput/latency trade-offs.
Built a Python desktop app that streams live market data, visualises trends, and manages watchlists.
Built an NLP pipeline using TF-IDF and sentiment features with Random Forest regression to predict grading outcomes.
Built a full-stack preparedness app with Spring (Java) and MongoDB, containerised with Docker.
Implemented a TSP solver using GRASP with swap-based local search to optimise route finding.
English (native), Turkish (native), German (intermediate), French (intermediate)
MSc Data Science
In progress | St Andrews, United Kingdom
BSc Computer Science and Engineering
September 2021 – January 2025 | Istanbul, Turkey
Honours: Dean's Honour List
July 2022 – Present | London, United Kingdom
Supporting programme planning and community engagement. Contribute to event organisation, speaker sourcing, and discussions on software, data, and emerging tech topics.