Muhammad Siddique
About Muhammad Siddique
Muhammad Siddique is a Research Scientist specializing in Machine Learning at Yale University, New York. He has over 16 years of experience in data science, having previously worked as a Senior Data Scientist at NFC IET Multan and has authored more than 46 research papers in the field of AI and control.
Work at Yale University
Currently, Muhammad Siddique serves as a Research Scientist in Machine Learning at Yale University in New York. He has been in this role since 2021, contributing to various research initiatives in the field of artificial intelligence. His work involves applying advanced machine learning techniques to solve complex problems, leveraging his extensive background in data science and statistical algorithms.
Previous Experience at NFC IET Multan
Before joining Yale University, Muhammad Siddique worked as a Senior Data Scientist at NFC IET Multan for 16 years, from 2005 to 2021. In this position, he gained significant experience in data analysis and machine learning, which laid the foundation for his current research endeavors. His long tenure at NFC IET Multan allowed him to develop a robust skill set in various data-driven technologies.
Education and Expertise
Muhammad Siddique holds a Doctor of Philosophy (PhD) in Electrical Engineering from the Pakistan Institute of Engineering and Applied Sciences, where he studied from 2014 to 2018. He also earned a Bachelor of Science in Computer Science from the National College of Computer Science at Bahauddin Zakariya University in Multan, Pakistan. His educational background provides a strong foundation in both engineering and computer science principles.
Technical Skills and Research Contributions
Muhammad Siddique possesses extensive technical skills in machine learning, data visualization, data mining, and natural language processing (NLP). He has hands-on experience with various machine learning algorithms, including Neural Networks and Gradient Boosted Trees. He has authored and co-authored over 46 research papers related to artificial intelligence and control, showcasing his contributions to the academic community.
Technological Proficiencies
Muhammad Siddique has over 10 years of experience with a range of technologies, including R, Hadoop, Python, SQL, Azure, AWS, and Scala. He is proficient in building end-to-end machine learning algorithms using Java and big data technologies such as Spark and Hive. Additionally, he has experience with development platforms like Anaconda, Jupyter Notebook, and Visual Studio Code, which he utilizes for data science projects.