Muhammad Shahroz is a passionate data scientist with expertise in machine learning algorithms and generative AI. They hold a Bachelor's degree in Electrical Engineering from Air University and a Master's degree in Electrical Engineering from the National University of Sciences and Technology (NUST). From 2018 to 2020, Muhammad served as a Research Assistant at NUST, developing optimization algorithms and AI solutions. They have also worked as a Machine Learning Engineer at Omdena and as a Team Lead at the National Aerospace, Science & Technology Park (NASTP). Currently, they are a Data Scientist at Turing, focusing on extracting insights from complex datasets.
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