I’m Mustafa Harun Sendur, an Applied ML / Data Scientist with strong software engineering foundations. I build and deploy applied ML and analytics systems end-to-end, from data collection and feature engineering to modelling, deployment, and monitoring. I’m currently completing an MSc in Data Science at the University of St Andrews.
Recent work includes shipping mobile products with on-device behavioural analytics (SQLite) and improving performance through asynchronous pipelines and storage optimisation (25% faster cold-start; >99.5% crash-free on iOS/Android). I’ve also built Azure operational dashboards (KQL) monitoring patch compliance at 10,000+ VM scale, and deployed automated retraining workflows on Google Cloud Platform.
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
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
Built an ML-driven recommendation system analysing 45,000+ real estate listings, automating data collection and feature pipelines to identify undervalued properties and publish results via an automated workflow.
Built a full-stack e-commerce platform with React (frontend) and Flask (backend), delivering secure authentication, product browsing, and order flows via REST APIs and a cloud database.
Implemented a simulation of a low-latency order matching engine to evaluate performance trade-offs (price/time priority, order book updates, throughput/latency considerations) without real trading.
Built a Python desktop app that streams live market data, visualises trends, and manages watchlists with a searchable UI (tkinter + market data API).
Built an NLP pipeline using TF-IDF and sentiment features with Random Forest regression to predict grading outcomes from text and interaction signals.
Analysed 30,000+ matches across 10 seasons, building an interactive platform with a Django REST backend and JavaScript visualisations to explore performance trends.
Built a full-stack preparedness app with Spring (Java) and MongoDB, containerised with Docker, delivering checklists, resources, and emergency planning features.
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.
Implemented a TSP (Traveling Salesman Problem) solver using the GRASP (Greedy Randomised Adaptive Search Procedure) algorithm with swap-based local search to optimise route finding.
Designed and implemented a database-backed system for managing member profiles and events, improving operational workflows for a student AI/ML community.
July 2022 – Present | London, United Kingdom
August 2024 – August 2024 | Remote
September 2021 – January 2022 | Istanbul, Turkey
June 2018 – June 2019 | Istanbul, Turkey
September 2018 – October 2018 | Istanbul, Turkey
Programming Languages:
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Database Management:
Cloud & DevOps:
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Issued by The Unitech Bilgisayar Eğitim Merkezi | February 2022