About

Muhammad Abrar Khalid is an analytical and innovative Data Scientist, Data Analyst, and ML Engineer with over 4 years of relevant experience. He has a strong passion for data and enjoys driving business functionality through advanced analytics, machine learning, data mining, and NLP. With his experience, he has developed an analytical mindset and an urge to learn more. Currently, Muhammad works at i2c Inc. as a Data Scientist. Prior to this, he worked at the same company as a Statistician. He has also worked at Sigma Square as a Machine Learning Engineer, where he worked on a project called Semantic Search. The primary goal of the project was to find similar nature of accidents through textual reports of insurance. Muhammad and his team identified the KPIs from the textual data, extracted the KPIs using NER, and resolved the searching problem to find similar accidents using Locality-Sensitive Hashing(LSH). The tools used for this project were Python, NLP, NER, PyTorch, TensorFlow, FastAPI, HuggingFace, and Docker. Muhammad has a Master of Science degree in Data Science from the National University of Computer and Emerging Sciences, which he completed in 2020. He also has a Bachelor of Science degree in Software Engineering from the International Islamic University, Islamabad, which he completed in 2016. Muhammad's tech stack includes Data Science, Research Science, ML, NLP, Docker, TensorFlow, Search, and PyTorch. He is a highly skilled and experienced professional who is always eager to learn and apply new technologies to his work.