About

Kush Shah is an accomplished Engineer at HBK, with experience in Data Science, Business Intelligence, and UX/UI design. He is a Kaggle Expert and has a deep understanding of mathematics and cryptography, which he leverages to bring mathematical solutions to add value using computational power. Kush has a proven track record as a Data Scientist in a product-based company and has gained parallelized knowledge in handling data and end-to-end data platform development. Aside from his work experience in Data Science, Kush has also worked as a graphic and web designer at Edu-tech startups, which gave him deep insights into design concepts and how to enhance customer retention using the website. He has also interned at a Higher Education Institute that mainly covered cloud computing, computer networks, and basic game development. Kush has taken up technical projects under JP Morgan Chase & Co. and KPMG in collaboration with InsideSherpa as a Software Engineering Virtual Experience and Technical Consulting Virtual Experience. He was awarded as the Google Cloud Platform Quest Leader by Google Cloud. Kush's major project on Portfolio Optimization in Financial markets gave him immense knowledge of computation finance involving mathematics, finance, and machine learning. All his experience has given him broader knowledge of the domain and improved his overall problem-solving, analytical, and creative skills. At HBK, Kush manages the full-stack software development lifecycle and develops an end-to-end data platform. He has also worked at Vimana, where he built and maintained cloud-based analytical data science pipelines and handled the observability stack, especially logging and monitoring of the DS pipeline. Kush has also worked at Barclays as a Graduate Intern in the Risk Finance Treasury Technology team, where he optimized a Task Allocation Progress handler, innovated two architectural solutions for an internal problem, and delivered 30+ bugs and enhancements to the Business Intelligence team with supporting low and high-fidelity prototypes. Kush has a BTech in Computer Science and Engineering from Bharatiya Vidya Bhavan's and SRM University. He has also completed the ACM Summer School in Data Science from IIT Gandhinagar. Kush's technical skills include designing, Data Science, Web, Research Science, Python, Software Engineering, ML, test, Kubernetes, Docker, Elastic Search, and UI. He has a relevant experience of 1.43 years.