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feritbulut/README.md

Hi, I'm Ferit Bulut ๐Ÿ‘‹

Data Engineer & ML Engineer

I design end-to-end data pipelines, ETL/ELT systems, and production-ready machine learning solutions.


๐Ÿš€ About Me

I'm a Software Engineering student at Hasan Kalyoncu University (2022โ€“2027), focused on Data Engineering and Machine Learning Engineering. I turn raw data into scalable pipelines, star-schema data warehouses, and API-driven products that support real decisions. I also have a solid foundation in C# / .NET and backend development with ASP.NET Core Web API.

  • ๐Ÿ”ญ Currently building end-to-end ETL/ELT and MLOps projects with real-world data
  • ๐ŸŒฑ Deepening my skills in Apache Airflow, dbt, Snowflake, and the AWS ecosystem
  • ๐ŸŽฏ Interests: data engineering, real-time ML inference, edge AI, and cloud architectures
  • ๐Ÿ“ซ Reach me at: fertbult@gmail.com

amazonwebservices logo azure logo gcp logo python logo csharp logo git logo
cplusplus logo dot-net logo sqlite logo docker logo git logo

๐Ÿ› ๏ธ Tech Stack

Languages & Backend

  • Python, SQL, C#, Bash
  • ASP.NET Core Web API, REST APIs, Flask API
  • .NET, Blazor Server

Data Engineering

  • Apache Airflow, Apache Spark (PySpark), dbt
  • ETL/ELT, Star Schema, Medallion Architecture
  • Snowflake, PostgreSQL, MySQL, MS SQL Server, SQLite

Machine Learning

  • Scikit-learn, TensorFlow, Keras, PyTorch
  • XGBoost, LightGBM, SHAP, Feature Engineering
  • YOLOv8, TensorRT, ByteTrack, OpenCV

Cloud & DevOps

  • AWS, GCP, Docker
  • Git, GitHub, Linux
  • FastAPI, Streamlit, Joblib

๐ŸŽ“ Education & Certifications

B.Sc. Software Engineering - Hasan Kalyoncu University (2022โ€“2027)

  • IBM Data Engineering Specialization - IBM
  • Associate Data Engineer in SQL - DataCamp
  • Machine Learning Specialization - Stanford University
  • AWS AI & ML Scholars - Udacity
  • CS50's Introduction to Databases with SQL - Harvard University
  • CS50x: Introduction to Computer Science - Harvard University

๐Ÿ† Platforms


LeetCode Stats


๐Ÿ’ก I believe in turning data into meaningful, scalable, and reliable systems.

Pinned Loading

  1. Zomato-AI-Data-Pipeline-with-AWS-Snowflake-Airflow-Dbt Zomato-AI-Data-Pipeline-with-AWS-Snowflake-Airflow-Dbt Public

    A production-style, end-to-end batch data platform that takes 10M+ rows of Zomato-style food-delivery data from raw CSVs in a data lake all the way to AI-powered analytics you can talk to in plain โ€ฆ

    Python

  2. DroneEye-YOLOv8-TensorRT-ByteTrack DroneEye-YOLOv8-TensorRT-ByteTrack Public

    Real-Time UAV Object Detection & Tracking with YOLOv8, TensorRT, SAHI, and ByteTrack on VisDrone.

    Jupyter Notebook

  3. Ecommerce-Data-Platform Ecommerce-Data-Platform Public

    An end-to-end e-commerce data platform for data extraction, processing, warehousing, and analytics using Python, AWS S3, PySpark, PostgreSQL, ASP.NET Core Web API, and Blazor.

    Python

  4. fraud-detection-ml-model-and-pipeline-XGBoost fraud-detection-ml-model-and-pipeline-XGBoost Public

    This project detects fraudulent credit card transactions with a machine learning workflow centered on XGBoost, threshold tuning, and SHAP-based explainability. It includes a FastAPI service for inโ€ฆ

    Python

  5. End-to-End-Crypto-Market-Data-Pipeline-with-Python-Airflow-dbt-and-Grafana End-to-End-Crypto-Market-Data-Pipeline-with-Python-Airflow-dbt-and-Grafana Public

    A production-ready, containerized data engineering pipeline that extracts real-time cryptocurrency market data from the CoinGecko API, processes and validates it, and loads it into a data warehouseโ€ฆ

    Python

  6. Hybrid-Ecommerce-Recommendation-System Hybrid-Ecommerce-Recommendation-System Public

    End-to-end hybrid recommendation system for e-commerce featuring ALS collaborative filtering, content-based routing, ASP.NET Core orchestration, Flask ML microservice, Blazor, and Flutter clients.

    Python