A highly skilled and experienced data freelancer with a Master of Science (M.Sc.) in Computer Science (Artificial Intelligence) from the University of Nottingham. He has a strong focus on machine learning, big data, data modeling, and artificial intelligence. His professional experience includes working as an Intern Data Scientist and a Senior Software Engineer. During his tenure as an Intern Data Scientist, he developed, deployed, and maintained groundbreaking Machine Learning framework to augment research strategy. He also architected and trained predictive models for pressure detection for a novel sensor textiles. He has a good understanding of time series analysis using ARIMA, ARMA, and moving average to forecast a particular phenomenon where sensor fabric resistance dips recurrently. He is also skilled in using Python to perform ETL and create predictive models. As a Senior Software Engineer, he has demonstrated exceptional ability to analyze data and liaise with multiple international stakeholders to facilitate effective troubleshooting of identified vehicle issues. He has also developed, deployed, and maintained different core features of automotive engine software, and has taken ownership of design proposals for key OEM clients such as GM, Maserati, and JLR.