Bioinformatician with a keen interest in utilizing machine learning and deep learning techniques to analyze and interpret biomedical data. Currently pursuing a Master's degree in Medical Informatics at Tabriz University of Medical Sciences, where I am working on my thesis in pricessing pepride sequences with sequence models. Previously earned a Bachelor's degree in Computer Science, with a focus on data structures, algorithms, and programming languages.Skills:Machine Learning: Proficient in Python, R, and TensorFlow for implementing machine learning models. Experience in supervised learning, unsupervised learning, and reinforcement learning techniques.Deep Learning: Experienced in building and training neural networks using TensorFlow and PyTorch. Familiarity with deep learning architectures, such as convolutional neural networks, recurrent neural networks, and autoencoders.Bioinformatics: Familiarity with bioinformatics tools and techniques for analyzing biological data, including DNA sequencing, proteomics, and genomics.Experience:Research Assistant (Tabriz University of Medical Sciences, 2022-Present): Collaborating with researchers on a project to develop machine learning models for peptide sequence analysis.Machine Learning and Deep Learning Certificate Programs (Coursera, 2022): Completed online courses in machine learning, deep learning, and natural language processing.Neural Networks and Deep Learning (Coursera, 2022): Explored the principles of neural networks and deep learning, gaining insights into how these powerful techniques can be applied to solve real-world problems.Seeking:Data Scientist or Machine Learning Engineer Position | Internship or Full-TimeOpportunity to apply machine learning and deep learning skills to solve real-world problems in the biomedical fieldPassionate about contributing to research and development in healthcare and medical informatics