Mahan Das

Mahan Das is a Computer Science graduate from The University of Texas at Dallas, specializing in Data Science and Intelligent Systems. Passionate about tackling real-world problems, Das values teamwork and collaboration as essential for success. Currently, Das is an intern working on the development of Machine Learning pipelines focusing on data extraction, image processing, and automation. This role involves researching and creating data models optimized for the eCommerce sector, utilizing deep learning architectures. Prior to this, Das accrued over two years of experience as a software engineer, leveraging expertise in distributed architectures, web services development, and software prototyping, with a focus on the impactful role of technology in Finance.

Das holds a Bachelor of Technology in Electronics and Communications Engineering from the College of Engineering Pune and a Master of Science in Computer Science from The University of Texas at Dallas. Through various professional roles, including internships at Adobe, eBay, and within academic environments as a Graduate Teaching Assistant, Das has honed skills in Machine Learning engineering, data science, and social innovation. Previous experiences at FinIQ Consulting Pvt. Ltd., Goldman Sachs, and Oil and Natural Gas Corporation Ltd. have provided Das with a diverse skill set and a deep understanding of the industry.