About

Pramod is a Software Product Engineer with expertise in Internet of Things (IoT), Machine Learning, and Automation. With almost 6 years of relevant experience, he has worked with various companies, including his current employer, Danfoss. At Danfoss, Pramod has worked as a PGET and Research and Development Intern. He was part of a project that aimed to predict the optimum time to stop the defrost cycle using machine learning in the cloud platform. He conducted a survey on the scope of Machine Learning in Refrigeration and Air Conditioning and used a Classification Algorithm to predict real-time data to stop the defrost cycle efficiently. Pramod also studied various sensor data to gain knowledge of its application. During his on-site visit to Denmark's Head Quarters, he presented the Machine Learning Approach to solve the industrial problem and gained knowledge to improve the efficiency of the solution. Pramod has a Master's Degree in Computer Science from VIT and a Bachelor's Degree in Computer Science from SJMIT. He has a strong tech stack that includes Software Engineering, Machine Learning, and Research Science. Overall, Pramod is a skilled Software Product Engineer with expertise in IoT, Machine Learning, and Automation. His experience in working with Danfoss and other companies has given him a strong foundation in solving industrial problems using technology.