Krishan Sharma

Research Project - Integral Research Energy for Electromobility (IFEMA) • Utilizing advanced data analysis techniques, such as statistical modeling and machine learning algorithms, to uncover significant trends and patterns in the power system data. • Assisting in the collection and processing of a dataset consisting of over 1,000 data points from power systems, ensuring accurate and reliable analysis. • Monitoring and analyzing power quality anomalies in industrial and commercial sectors

• Designed and implemented manufacturing processes for steam boilers and accessories, ensuring compliance with industry standards and regulations (IBR 1950). • Maintained quality control systems to ensure that steam boilers and accessories met specified standards. • Supervised a team of production technicians and ensured that they were trained in the proper use of equipment and machinery.

Project:- "Tell-tale Sign of Diesel Locomotive" • Conducted field tests and gathered data to validate the performance of the system. • Developed procedures for regular maintenance and upgrades to the system to ensure optimal performance. • Collaborated with cross-functional teams, including engineers and technicians, to ensure the reliability and accuracy of the system.

Thesis: Power Quality Analysis for Industrial and Commercial Sectors using Data Science

Project: Design and manufacturing of IC engine Motor Kart.