Prateek Sharma

Started my career with SIEMENS as a GET, worked in the ENERGY MANAGEMENT sector wherein I was the site execution engineer for on-site Erection, Testing and Commissioning of CT, PT, Transformers, CB, LA/SA, RTU, CRP and Automation for the High Voltage gas insulated Substation. My undergraduate electrical engineering degree focused on engineering design and testing of heavy electrical equipments like Transformers, Induction motors, Synchronous motors, Generators and power electronics. My undergraduate project was on speed control of induction motor using IGBT switch based coverter/inverter circuit (VFD) implemented on Simulink. I have kept a diverse portfolio in my graduate studies and focused heavily on control theory and mathematics. I have experience with Electric powertrain mechanism (DQ axis Control, Vector and scalar Control, PWM Switching in IGBT based Converter/Inverter circuit), Experience working with control systems (Lyapunov functions, feedback, feedforward, PID control), Understanding and implementation of statistics (statistical hypothesis testing, statistical correlation, Bayesian statistics, confidence intervals), Stochastic filtering techniques (Kalman, Extended Kalman and particle filtering, Random Process, Stochastic differential equation), optimization methods (Armigo, pontryagin maximum principle). Experience working with Machine learning for Big data using python (OLS, Linear&Logistic, Lasso, Ridge Regression, Neural Network), Probabilistic modeling (DTMC, CTMC, SMP, Poisson processes, Queuing theory, Brownian motion) and Digital communication (Constellation mapping, PSD, TDMA, FDMA, CDMA, Information theory), Financial derivatives analytics(Black scholes merton, monte carlo simulations, financial time series analysis) using python(Numpy, Pandas, Statsmodel, Scipy, SciKit Learn) Would like to work in a job that gives emphasis to probability theory,systems controls engineering. Believe in risk & reward, timely action and less regrets.