Identity• With a PhD experience of 4 years as a research scholar in machine learning and artificial intelligence and develop a predictive control model and application with AI to analyse the anomalies in the Variable frequency drive industrial pumping system.
• Worked with various machine learning algorithms like SVM, K-NN, Naïve Bayes, Basyian Net, Neural network and deep learning, Statistical tools like RMSE, R^2 error, standard deviation, kurtosis, skewness and mean value for the mathematical analysis of anomalies in the industrial pumping system, solutions of preventing anomalies in the early stage for energy and cost-saving, remaining useful life of the pump and life cycle cost analysis of the whole electric device in Matlab simulink, code generation in python.
• Handled various projects on fault detections in VFD based cascaded pumps like cavitation, electrical faults, bearing faults, mechanical faults etc. I have a 2 years teaching and research experience in electrical circuit theory, power electronics, electrical drives, basic electrical engineering domain.
Bramhapuram, Vellore 
Certified
