Emre Çoban

I build data-driven applications and LLM-powered tools for real-world use, from financial signal systems to end-to-end chatbot pipelines.

In my Smart Financial Tracking System, I analyzed five years of stock data, integrated NewsAPI for real-time financial news signals, and deployed email notifications through PythonAnywhere. I also built a patient management system that helps doctors manage records, prescriptions, messages, and videos with secure SQL-backed storage.

My Nanochat project covers tokenization, training, fine-tuning, inference, and web UI deployment in a clean, dependency-light LLM workflow. I also developed a fake news detector using NLP, TF-IDF, embeddings, Logistic Regression, SVM, Random Forest, cross-validation, and hyperparameter tuning.

I work with Python, SQL, backend development, data analysis, visualization, Git, and Agile practices, and I focus on translating technical work into practical business value.