Materials Science and Engineering (MS): Linear Algebra in Engineering, Nanomaterials in Energy Production/Storage, Kinetics and Phase Transition in Solids, Polymers and Composites, Mechanical Behavior of Materials, Machine Learning for Engineers, EMOP (Electronic, Magnetic and Optical Properties), Advanced Scanning Electron Microscopy, Electrochemical Materials Science, Structural and Mechanical Properties of Materials
Chemical Engineering (BE): Entrpreneurship and Business Plan, Computer Aided Process Engineering 1&2(Theory and Lab), Process Control and Instrumentation, Polymer Composites, Project Engg and Economics for Chemical Engineers, Process Modelling Simulation and Optimization, Safety and Hazards in Industries, Biochemical Engg, Industrial Chemical Processes, Advances in Reaction Engg, Polymer Science and Engg, Polymer Engg Lab, Modern Separation Processes, Chemical Engg Equipment Design,
Mass Transfer Operations, Heat Transfer Operations, Energy Engg(Theory and Lab), Organisation Behavior, Petrochemicals and Refinery Engg, Numerical Methods for Chemical Engg, Fluid Mechanics, Process Calculations and Mechanical Operations, Biological Science, Instrumental Analysis Lab, Strength of Materials(Theory and Lab), Workshop Manufacturing Processes
Doping Contrast and Dopant Profiling in integrated semiconductor structures using secondary electrons in SEM
Analyzed the current trends that are being used to obtain high doping contrast and dopant profiling across several research papers and the conclusions that were derived in each case.
Extrapolated challenges to suggest areas of future work like sample treatment and increasing spatial resolution using deep learning.
Prediction of Grades for secondary students on Socio-Economic Features
Pre-processed data to create 6 types of dataset with different feature scaling and encoding schemes for comparative analysis.
Developed a pipeline to train each dataset on 13 different learning models to evaluate the best model and dataset for the use-case based on validation set accuracy.
Plotted correlation matrix to determine important features and use them to create feature-selected dataset and obtained similar results for test set accuracy.
Thermodynamic modelling of natural gas sweetening process in green solvents(utilizing MATLAB)
BE Final year Thesis
Formula Bharat 2017
Formula Bharat 2018
Formula Bharat 2018
Management Duties
Led the team into the 2018-19 season in which both management (sponsorship, recruitment and marketing) and technical (CAD modelling and Simulation) responsibilities were carried out along with planning and team management.
Raised a total amount of approximately $90,000 in sponsorship (including both in-kind and monetary) from various companies, institutions and individuals over the course of three years.
Prepapred business plans for mass production of the prototype race cars.
Performed Make / Buy analysis to conclude the parts that had to be manufactured in-house, outsourced and bought.