Data scientist with software engineering foundations and experience building analytics and ML systems end to end. Experienced in behavioural data analysis, SQL and Python workflows, and cloud-based pipelines, including production analytics for mobile products, operational dashboards at scale, and deployed ML. Completing an 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
React Native meditation and journaling app with local-first storage, session tracking, and insights. iOS and Android.
Built an ML-driven recommendation system analysing 45,000+ real estate listings, automating data collection, feature engineering, and prediction pipelines to identify undervalued properties. Achieved R² = 0.91 with automated daily retraining deployed on GCP.
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
January 2026 – January 2027 (Expected) | 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.