Semih Gulum is a data scientist with comprehensive experience in data visualization, multi-staged object detection, and natural language processing. At AVL, from August 2021 to December 2023, Semih developed skills in Docker, FastAPI, Streamlit, and WSL, focusing on time series datasets. A brief tenure at Accenture as a senior data scientist included building sophisticated architectures using DML, Pytorch, Resnet, YOLO, and Efficientnet, alongside tools like Azure ML and Kubernetes. Currently, as a teaching assistant at Sabanci University, Semih supports courses in Computer Vision and Natural Language Processing, utilizing Python for various analyses. Prior internships at PIXSelect Teknoloji A.Ş. and AdresGezgini involved projects in image processing and Turkish NLP. Semih holds a Master of Science in Data Science from Sabanci University and a Bachelor's degree in Mechatronics Engineering from Marmara University.
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