At BioSFM Lab, Acibadem University, I analyze QCM biosensor impedance data using NumPy and pandas. I benchmarked SVR, Random Forest, and XGBoost with PCA for an IEEE paper.
At Dedecta, I fine-tuned Turkish NLP models for sarcasm detection and sentiment analysis as my graduation capstone. At PostAIPilot, I researched and troubleshot integrations of generative video AI models, including Veo 3.1 and Sora.
My projects include a Python pipeline for QCM feature extraction and concentration regression, and Quake-Fare-Relief, an earthquake-feed and fare-ingestion pipeline with a Random Forest model. I also built a full-stack e-commerce application as an internship project at Acibadem Technology.
