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eray-yuztyurk/README.md

Hi, I'm Eray Yuztyurk 👋

🧠 Data & AI • 🛠️ Engineering • 📊 Analytics • 🚀 Building useful, clean systems

I’m someone who learns fast, thinks in systems, and enjoys turning ideas into clean, functional products.
My work sits where data, engineering, and AI meet — whether it’s building Data / ML pipelines, designing recommender systems, or creating intuitive AI-powered applications.
I care about clarity, structure, and writing software that feels purposeful and maintainable.


🚀 Tech Stack


Languages


ML & AI


Data Engineering


Analytics


Tools


Automation

🎓 Core Certifications

(Selected — full archive below)


🔥 Featured Projects

A curated selection of work that represents how I build, think, and solve problems.


🧠 AI & Machine Learning


AI Chatbot Web App
Show details
  • Full-stack chatbot interface
  • Modular backend structure
  • Clean and simple front-end layout
  • Good base for further extensions

Text to Speech App
Show details
  • Multi-language neural text-to-speech (25+ languages)
  • Transformer-based TTS models (Hugging Face, MMS-TTS)
  • Interactive Gradio web interface
  • Generates high-quality .wav audio files
  • Modular & easily extendable model / language config

BLIP Image Captioning
Show details
  • BLIP (Salesforce) image captioning
  • Image → text generation interface
  • Simple upload-and-caption workflow
  • Vision-language Transformer pipeline

Audio Transcriber & Summarizer
Show details
  • AI-powered audio transcription to text
  • Automatic text summarization pipeline
  • Multi-language speech-to-text support
  • Configurable AI models & language settings
  • Clear CLI-based workflow for transcription & summarization

🔮 Recommender Systems

ARL-Enhanced Recommender System

CocktailMe – Recommender
Show details
  • Hybrid rule-based + ML system
  • Personalized drink recommendations
  • Feature engineering pipeline
  • Clear UI and structured workflow

Movie Recommender – Collaborative
Show details
  • User–item matrix factorization
  • Similarity-based recommendations
  • Evaluation + ranking pipeline
  • Clean notebook workflow

ARL-Enhanced Recommender System
Show details
  • Explores product recommendations with baseline models
  • Implements an ARL-inspired policy to improve ranking quality
  • Includes EDA, preprocessing and interaction analysis
  • Evaluates performance with Precision@K, Recall@K, NDCG and MAP
  • Fully documented end-to-end workflow in one notebook

Movie Recommender – Content-based
Show details
  • TF-IDF / cosine similarity engine
  • Metadata-driven movie ranking
  • Fast, lightweight implementation
  • Modular design for testing

📊 Data Science / ML Competitions


SpaceX Launch Analysis
Show details
  • End-to-end data pipeline: API retrieval, targeted web scraping, structured data wrangling
  • Exploratory data analysis with visualizations, correlations and geospatial folium maps
  • Feature engineering and SQL-based dataset validation (SQLite + pandas integration)
  • Machine learning workflow for predicting launch outcomes with evaluation metrics
  • Interactive dashboard built with Dash for exploring launch sites and performance trends

Titanic – Full ML Workflow
Show details
  • EDA + feature engineering
  • Model comparison & selection
  • Cross-validation pipeline
  • Clean and reproducible workflow

Diabetes Prediction ML
Show details
  • Binary classification pipeline
  • Preprocessing & scaling workflow
  • Model comparison and metrics
  • Clear and structured notebook

House Price Prediction
Show details
  • Regression with engineered features
  • Stacking + hyperparameter tuning
  • Systematic model evaluation
  • End-to-end ML solution

📈 Dashboards & Web Apps


Bank Performance Dashboard
Show details
  • KPI-driven financial insights
  • Star-schema data model
  • DAX measures + clean visuals
  • Professional reporting layout

Transaction Tracker (CRUD)
Show details
  • Flask-based CRUD application
  • SQLite + clean data model
  • Minimal & functional UI
  • Backend fundamentals showcase

✨ About Me

I like understanding how things work, improving them, and building systems that stay reliable as they grow.
I’m drawn to projects where I can combine data, ML, and software engineering to create something practical and clean.
Outside the technical side, I enjoy refining my workflow, exploring new ideas, and continuously improving the things I build.


📫 Contact


📚 Certification Archive (Click to Expand)

Full List of Certifications
Professional Certifications
IBM AI Developer
IBM Machine Learning
IBM Data Science

Pinned Loading

  1. cocktailme-app cocktailme-app Public

    Python 3

  2. ibm-spacex-project ibm-spacex-project Public

    End-to-end SpaceX launch analysis project: collect and clean launch data via API and web scraping, perform EDA and folium geospatial mapping, run SQL experiments, train and evaluate baseline ML mod…

    Jupyter Notebook 2

  3. arl-product-recommender arl-product-recommender Public

    A hands-on recommendation project exploring baseline ranking methods and an ARL-inspired policy for improving item suggestions. The notebook walks through data preparation, modeling, evaluation, an…

    Jupyter Notebook 2

  4. house-price-prediction-competition house-price-prediction-competition Public

    Machine learning project for predicting Ames, Iowa house prices using regression models. Includes full EDA, feature engineering, model comparison, hyperparameter tuning, and performance evaluation.…

    Jupyter Notebook 2

  5. content-based-movie-recommender content-based-movie-recommender Public

    Lightweight content-based movie recommender that converts movie metadata (titles, genres, descriptions) into TF‑IDF vectors and ranks films by cosine similarity. Clean, modular Python code with exa…

    Jupyter Notebook 2

  6. collaborative-filtering-movie-recommender collaborative-filtering-movie-recommender Public

    Notebook-first collaborative-filtering movie recommender demonstrating neighborhood and model-based methods (user/item similarity, SVD). Runnable Jupyter notebook walks through data prep, modeling,…

    Jupyter Notebook 2