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beyzahiz/README.md

Hi there, I'm Beyza! ๐Ÿ‘‹

I am a senior Software Engineering student at Istanbul Health and Technology University, minoring in Molecular Biology and Genetics. I am a passionate developer focused on solving complex problems using Data Science, Artificial Intelligence, and modern software architectures.

I thrive at the intersection of technology and life sciences, aiming to build scalable applications that make an impact.

๐Ÿš€ Technical Focus

  • AI & Data Science: Working on Deep Learning and NLP projects, including sentiment analysis and medical image classification.
  • Software Engineering: Developing scalable backend systems with Python and high-performance distributed pipelines using C++.
  • Process & Strategy: Knowledgeable in software development lifecycles, applying structured methodologies to engineering challenges.

๐Ÿ›  Tech Stack

Languages & Frameworks Python C++ SQL C Java JavaScript HTML5 CSS3

Data Science & AI PyTorch TensorFlow FastAPI Keras Scikit-Learn Pandas

Tools & Environment Docker Git Unity

Featured Projects

  • Sentify: Sentiment analysis system using RoBERTa, containerized with Docker.
  • Turkish NLIDB: A rule-based Natural Language Interface for Database querying.
  • Brain MRI Classifier: Deep Learning project for medical image analysis.
  • Fruit Classification: Computer Vision project using Transfer Learning and Streamlit.

๐Ÿ“ซ Connect with me

LinkedIn Gmail

๐Ÿ“Š GitHub Analytics

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  1. Cats-Dogs-CNN-Classifier Cats-Dogs-CNN-Classifier Public

    Cats vs Dogs image classification project using Convolutional Neural Networks (CNN). Multiple architectures and learning rate strategies were tested, and the best model achieved 81.8% validation acโ€ฆ

    Jupyter Notebook

  2. NLP_to_SQL NLP_to_SQL Public

    Turkish Natural Language Interface to Database (NLIDB). A rule-based system that converts Turkish natural language queries into SQL with 96.6% accuracy. Includes Stanza NLP benchmarking.

    Python

  3. parallel-image-pipeline parallel-image-pipeline Public

    Collaborative High-Performance Computing project implementing Serial, OpenMP, and MPI pipelines. Developed with @zeyyildm.

    C++

  4. Transfer-Learning-Fruit-Classification Transfer-Learning-Fruit-Classification Public

    Fruit classification app using Transfer Learning (MobileNetV2) and Streamlit. Features real-time inference, Top-3 predictions, and performance analysis. Deployed on Streamlit Cloud.

    Jupyter Notebook

  5. Sentiment-Analysis-NLP Sentiment-Analysis-NLP Public

    Sentify: Translation-Augmented Sentiment Analysis system (Positive, Negative, Neutral) using RoBERTa, FastAPI, and Streamlit. Dockerized & Distributed on Render + HF Spaces.

    Jupyter Notebook

  6. Brain-MRI-Tumor-Classifier Brain-MRI-Tumor-Classifier Public

    Brain MRI tumor classification system built with EfficientNetB0 and Explainable AI (Grad-CAM). Features medical image preprocessing (CLAHE) and deployment via Streamlit & Hugging Face Hub.

    Jupyter Notebook