Fresh Computer Science Graduate from SIM
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I am Sparsh S. Bohra, a Computer Science student majoring in Big Data at the Singapore Institute of Management - University of Wollongong. My academic journey has equipped me with the foundational aspects of computer science, including problem-solving, machine learning, and big data.
During my internships, I have embraced a wide range of roles. Currently, I'm a Backend Developer Intern at Inteltie Technologies, where I contribute to the development of novel Meeting Management software and liaise with clients for requirements. Prior to this, I interned at KernelApps, optimizing database systems, and at VNB Consulting, where I worked on user authentication and interface development.
My stint as an AI & ML Developer Intern at Allied Digital Services had me working on analytics for consumer banking data and implementing benchmark models for transfer learning.
In addition to my professional experiences, I have initiated personal projects that highlight my passion and drive. My skills span across multiple programming languages and tools. Whether it's in a professional setting or a personal endeavor, I'm always eager to innovate, optimize, and make a meaningful impact.
During my internships, I have embraced a wide range of roles. Currently, I'm a Backend Developer Intern at Inteltie Technologies, where I contribute to the development of novel Meeting Management software and liaise with clients for requirements. Prior to this, I interned at KernelApps, optimizing database systems, and at VNB Consulting, where I worked on user authentication and interface development.
My stint as an AI & ML Developer Intern at Allied Digital Services had me working on analytics for consumer banking data and implementing benchmark models for transfer learning.
I am Sparsh S. Bohra, a Computer Science student majoring in Big Data at the Singapore Institute of Management - University of Wollongong. My academic journey has equipped me with the foundational aspects of computer science, including problem-solving, machine learning, and big data.
