About

Akash Shah is a highly self-driven and motivated Data Scientist with a passion for making a difference in the field of Machine Learning and Data Engineering. He has a strong background in statistical analysis and has worked extensively with structured and unstructured data wrangling. Akash has a keen interest in Time Series Analysis, Deep Learning architectures, Graph Neural Networks, and other advanced techniques. Currently, Akash is working as a Data Scientist at Neustar, where he is involved in Fraud and Risk R&D. Prior to this, he worked as a Data Scientist at Optoro, where he built dynamic pricing models. He has also worked as a Computational Data Scientist / Data Analyst at the University of California San Diego, where he was part of the Machine Learning for Social Sciences Lab. Akash holds a Master's degree in Data Science and Engineering from the University of California and a Bachelor's degree in Computer Engineering from Vishwakarma Institute of Technology. He also completed a Bachelor's degree in Computer Science from Ryerson University. Akash's technical skills include Data Science, Research Science, Data Engineering, Deep Learning, Machine Learning, and Neural Networks. He has relevant experience of 2.52 years in the field of Data Science and is always looking to expand his knowledge and expertise. In summary, Akash Shah is a highly motivated and skilled Data Scientist with a passion for using advanced techniques to solve complex problems. He has a strong academic background and relevant industry experience in the field of Data Science and Engineering.