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İclal Çetin obtained a Bachelor of Science in Computer Engineering from Alanya Alaaddin Keykubat University. Her undergraduate thesis was titled “Radar Target Detection Using CNN Models” and focused on radar data with deep learning and image processing. Throughout his career, he actively participated in each phase of artificial intelligence and machine learning processes for the semantic search engine initiative at De Jure, a legal technology company. In 2022, she participated in the 6-month Machine Learning training organised by UP School and Google. Upon completion of this training, she was eligible for a Google scholarship to take the Tensorflow exam, which she passed and for which she received a certificate. In addition, she has expertise with machine learning frameworks such as Tensorflow and PyTorch. She has worked with GCP and Azure cloud platforms. Data Science, Data Manipulation & Visualisation, Machine Learning Algorithms, Natural Language Processing, Image Processing, and Deep Learning are among her areas of expertise. Iclal is proficient in both English and her native Turkish.

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