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onurusalan/README.md

Hi, I'm Onur 👋

I'm a Business Analyst with a strong technical background, focused on translating data into actionable business insights. I enjoy analyzing processes, gathering requirements, and using data to support decision-making.

Featured projects

NekoVocab: A princess-themed vocabulary learning desktop app built with Tauri 2 and React, featuring flashcards, quizzes, and spaced repetition (SRS).

AI4Code - Code and Description Matching: A data analysis project matching markdown cells with related code cells in Jupyter Notebooks.

Stroke Risk Data Analysis: A project comparing data models to analyze stroke risk based on healthcare data.

NeoTerra Assistant: A question-answering assistant project built using data and language models to explore a sustainable city concept.

Skills & Tools

Business Analysis, Requirements Gathering, Data Analysis, SQL, Python, Excel, pandas, React, TypeScript

Contact

LinkedIn: https://www.linkedin.com/in/onurusalan/

Feel free to reach out via GitHub or LinkedIn if you have questions about my projects.

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  1. ai4code-markdown-matcher ai4code-markdown-matcher Public

    AI4Code Markdown Matcher — a machine learning model that matches markdown cells with related code cells in Jupyter notebooks, built with Python and XGBoost.

    Python

  2. NekoVocab NekoVocab Public

    NekoVocab — a princess-themed vocabulary learning desktop app with flashcards, spaced repetition, and quizzes, built with Tauri 2 and React.

    TypeScript

  3. stroke-risk-ml-model-comparison stroke-risk-ml-model-comparison Public

    Stroke Risk Prediction — a comparison of multiple machine learning models for predicting stroke risk from patient health data, built with Python.

    Python