About

Keerthi Kumar K.G is a Data Engineer and DC Analyst at Deloitte USI with a passion for Machine Learning and Data Science. Despite his Mechanical Engineering background, Keerthi has excelled in the field of technology and has become an expert in Python, Shell Scripting, SQL, MongoDB, Java, and ML frameworks. Keerthi has 2.78 years of relevant experience in the industry and has previously worked as a Machine Learning Engineer Intern. Keerthi's current role at Deloitte USI involves working as a DC Analyst, where he applies his expertise in data engineering and machine learning to create data solutions for clients. Prior to this, Keerthi worked as a Software Engineer and Machine Learning Engineer at TCS. In his role as a Machine Learning Engineer, Keerthi worked on a project involving Synthetic Data Generation of Insurance Data for one of the clients. Keerthi's education background includes a Bachelor of Technology in Mechanical Engineering from KLE Technological University. Despite his background in Mechanical Engineering, Keerthi has pursued his passion for technology and has become an expert in Data Engineering, ML, SQL, Data Science, MongoDB, Python, Java, and Software Engineering. Keerthi's tech stack includes a wide range of skills, including Data Engineering, ML, SQL, Data Science, MongoDB, Python, Java, and Software Engineering. Keerthi's passion for technology and his expertise in these areas make him an asset to any team he works with. Overall, Keerthi Kumar K.G is a highly skilled and passionate Data Engineer and DC Analyst with a strong background in Machine Learning and Data Science. His expertise in Python, Shell Scripting, SQL, MongoDB, Java, and ML frameworks, combined with his relevant industry experience, make him a valuable asset to any organization.