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Muhammad Usama has a diverse work experience. Muhammad started their career as an Intern in the Business Unit - Transformers at Siemens in 2012. In 2014, they worked as a Research Associate at Lahore University of Management Sciences, focusing on research related to low-cost monitoring sensors for residential PV installations and DC microgrids.

In 2017, Muhammad joined Afiniti, where they held various roles. Muhammad started as a Data Analyst, using Artificial Intelligence and Machine Learning to generate incremental revenue for clients in the United States. Muhammad then transitioned to a Data Scientist role in 2019, responsible for deploying AI models on a specific client and ensuring model health and performance. Muhammad later became a Senior Data Scientist and currently holds the position of Lead Data Scientist at Afiniti.

Overall, Muhammad Usama's work experience includes research, analysis, and implementation of AI models for diverse applications.

Muhammad Usama holds a Master of Science (MS) degree in Electrical and Computer Engineering from the Georgia Institute of Technology, which they obtained between 2015 and 2017. Prior to that, they completed a Bachelor of Science (BS) degree in Electrical Engineering from the Lahore University of Management Sciences, spanning from 2010 to 2014. Additionally, they obtained a Higher Secondary School Certificate in Pre-Engineering from the Government College University (GCU), Lahore, during the period of 2008 to 2010. Muhammad Usama has also obtained several certifications, including Bayesian Statistics: Techniques and Models, Machine Learning, and Bayesian Statistics: From Concepts to Data Analysis, all from Coursera. The specific months of completion for the certifications are not provided.