Skip to content
View beyzahiz's full-sized avatar

Block or report beyzahiz

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don’t include any personal information such as legal names or email addresses. Markdown is supported. This note will only be visible to you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
beyzahiz/README.md

Hi there, I'm Beyza! 👋

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.


🚀 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.

🛠 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

  • Fenomen-Marka-Uyumu — AI-powered influencer-brand matching system supported by TÜBİTAK 2209-A, combining SBERT, XGBoost, and a hybrid scoring engine (Flask + React/Vite).
  • BioHealth-AI-Core — Modular MLOps platform unifying Bio-NLP (RoBERTa) and Computer Vision (MRI CNN) models under a single FastAPI gateway, fully containerized with Docker Compose.
  • Brain-MRI-Tumor-Classifier — Explainable brain tumor classification system built with EfficientNetB0 and Grad-CAM.
  • Sentify (Sentiment-Analysis-NLP) — Translation-augmented sentiment analysis system using RoBERTa, distributed via Docker on Render and Hugging Face Spaces.
  • Turkish NLIDB (NLP_to_SQL) — Rule-based system converting Turkish natural language queries into SQL with 96.6% accuracy.

📫 Connect with me

LinkedIn Gmail


📊 GitHub Analytics

Pinned Loading

  1. 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

  2. parallel-image-pipeline parallel-image-pipeline Public

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

    C++

  3. 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

  4. 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

  5. Fenomen-Marka-Uyumu Fenomen-Marka-Uyumu Public

    Forked from eceekkutlu/FenomenMarkaUyumu

    Marka kampanya metnine göre 135 fenomenlik veri tabanından en uygun influencer'ı SBERT, XGBoost ve hibrit skorlama (SFS/NFS/CFS/KFS) ile öneren yapay zekâ destekli karar destek sistemi. Flask + Rea…

    Jupyter Notebook

  6. BioHealth-AI-Core BioHealth-AI-Core Public

    AI-powered modular MLOps platform integrating Bio-NLP (RoBERTa) and Computer Vision (TensorFlow MRI CNN) under a single FastAPI gateway. Fully containerized with Docker Compose, connected to Postgr…

    Python