I am a graduate student in the field of electrical engineering majoring in signals processing. I have worked on various projects associated with machine learning, deep learning and neural networks. I have good knowledge in C, python and matlab.
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Experience
CLOTH IRONER AND FOLDMATE: To iron and fold a saree by just pressing a button. The instructions are fed through Programmable Logic Controller (PLC).(Jan 2018) • INTERNSHIP: Got internship in Shasun pharmaceuticals limited for studying of electrical circuits and controlling of machines helpful in manufacturing medicines. (September 2017)
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Projects
Neural networks based: Using steepest descent and conjugate gradient methods for classification and approximation. (April 2019) • Deep learning based: convolutional neural networks using Keras and Google Colabs. Some of the projects done are character recognition, coin vs scrap recognition and transfer learning.(August 2019) • Machine learning based: Learning the different regression and classification methods involved in it. Completed a certified course of machine learning in UDEMY. This is done in spyder(Anaconda) python and R studio. (December 2019) • Control system based: Implementing extended Kalman filter to find the effects of noise in a system using Simulink (MATLAB). STATE VARIABLE SYSTEMS AND COMPUTER STIMULATION: stimulating the Vander Pol oscillator and Lorenz attractor chaotic system to plot the time vs output y(t). Working on system identification and estimation tools and neural estimator tools. (March 2019) • Signal processing: done projects related to the fields of digital signal processing and statistical signal processing. Highlighted ones are designing filters in Matlab and Simulink. Worked with DSP system toolbox in Matlab. (November 2018)