I recently graduated my Master of Science in Chemical Engineering from Carnegie Mellon University and am looking for full-time opportunities, available immediately. Through my coursework at CMU, I have gained expertise in the fields of Computational Fluid Dynamics (CFD), Optimization and Data Science. I have also become adept at using various software packages like COMSOL, ANSYS Fluent, Aspen Plus, GAMS and programming languages like C++, Java, Python, MATLAB through my academic and research projects.
My research project at CMU was focused on CFD, specifically in computational modeling using the Finite Element Analysis (FEA) tool COMSOL. Under the guidance of Prof. Lynn Walker, I developed computational models in COMSOL to solve partial differential equations numerically. This project gave me a solid understanding of CFD principles and peaked my interest in the field. I further worked on a couple of academic projects, individually and in collaboration, wherein I developed CFD codes in C++, Python and MATLAB to numerically solve complex fluid flow and heat transfer problems. With a deep understanding of numerical analysis and analytical techniques, I feel confident that I can solve real-world engineering problems and contribute to the development of new technologies.
The Process Systems Modeling course at CMU provided me with advanced knowledge in the simulation of industrial processes and laid my foundation of mathematical programming. I used the process simulation software Aspen Plus to model and optimize various chemical engineering processes. I have also successfully completed a couple of projects in Process Optimization and Supply Chain Optimization using the GAMS modeling language. With these experiences, I believe that I can strive to improve efficiency and reduce cost of industrial processes.
I would like to apply the skills and knowledge acquired during my time at CMU to Process Engineering, CFD Analysis and Data Analysis roles.
- Studied the methods used in the backend of the fluid flow analysis software PIPENET Vision.
- Applying fundamental fluid mechanics principles, built a model to calculate pressure drop and flow rates in a water piping network for a pilot plant in PIPENET Vision. The outlet flow rates met design specifications and hence the model was validated.
- Performed leakage analysis on the developed model to identify critical leakage points and proposed alternative feasible networks with safety controls.
- Collected data of the piping network model from 3D model, Plant Layouts and Piping and Instrumentation Diagrams (P&IDs) in MS Excel.
- Visited the largest oil refinery in Jamnagar, India and observed crude processing units such as Fluidized Catalytic Cracker, Delayed Coker, Hydrocracker etc.
- Conducted extensive literature survey on the process of making haemostatic sponge with drug delivery capabilities.
- Developed and optimized a sponge preparation process based on existing literature. Prepared a Chitosan-Gelatin based sponge in a drying laboratory with Glyoxal as cross-linking agent and optimized the incubation time to obtain sponge with 25% increase in foam stability.
- Characterized the foam with drain rate and density studies and the resultant sponge with water absorption capacity test and Fourier-transform infrared spectroscopy (FTIR).
- Analyzed the samples using FTIR and verified the presence of chemical bond between glyoxal and chitosan-gelatin substrate indicating the successful action of glyoxal as cross-linker.
- Worked with laboratory equipment such as vacuum freeze dryer, air compressor, magnetic and overhead stirrers etc. in the process of preparing sponge.
- Observed the industrial process of fabric dyeing and understood the operations of various machinery involved in the process.
- As laboratory assistant, tested the process on small fabric samples on a lab scale before it was applied on large textile beams.
- Optimized the composition of dye mixtures to obtain the desired color on cotton, polymeric and composite samples.