• Developed North America severe convective storms hazard climatology.• Calculated hazard EEFs for EUWS model, and delivered to external clients for their validation.• Developed algorithms to calculate hail streak characteristics from RADAR data.• Developed plotting tools, and packages to calculate return periods.• Managed Github account for the team, and trained the team on GH best practices.

Summary:• Implemented a contrail prediction model combined with an NWP model to predict indirect emissions from a jet engine.• Generated post-flight analysis reports, comparing satellite images against NWP analysis runs and conducting CO2 equivalent analysis for the fleet.• Improved the CO2-equivalent calculations for SATAVIA's Net-Zero product, leading to 3x CO2-eq.• Developed statistical tools to test the skill of NWP against radiosonde measurements.• Conducted geospatial visualization of contaminants such as sulphur dioxide, salt, and sand, as well as contrails.

Summary:• Developed mathematical and numerical models for complex physical systems.• Created Python tools for efficient cleaning, organizing, storing, and visualizing numerical results.• Applied statistical methods (time-series analysis, and conditional statistics) to data for physics understanding.• Devised innovative experiments and techniques, and remotely collaborated with research scientists to produce high-impact publications.Technical:• Modified LES models for multi-phase fluid-flow and heat-transfer studies.• Implemented lab techniques to visualize droplets in multi-phase flows.• Created Python tools for efficient cleaning, organizing, storing, and visualizing experimental and numerical results.• Mentored interns in studying turbulence structures in unsteady flows with precise spatial temperature measurements.

Received Alternate Sponsored FellowshipSummary: Identified numerical inconsistencies, developed, implemented and tested physically consistent solutions for a LES code.

Summary: • Successfully emulated a laboratory experiment using Gerris CFD program during a 9-month master's program internship.• Involved in extensive testing of PARIS simulator code.

Summary: As a part of EEDP program, I worked in four different teams each lasting six months for a period of 2 years.• Improved model predictive accuracy by 10% through better parameterization techniques.• Streamlined and automated data analysis processes, reducing cycle time by 25% and eliminating human errors.• Developed and improved MS Excel-based performance models to provide accurate estimates of power and efficiency to customers.• Engineered a solution to reduce computational power requirements by 15% through a reduced order model, leading to faster analysis cycles.• Won the best B-Course project award in the Asia region and was featured as one of the top 4 projects in the global EEDP program.• Coordinated and collaborated across teams and time zones to deliver significant results.Technical:• Implemented improved heat transfer physics to increase model accuracy by 10%.• Automated analysis procedures, reducing cycle time by 75% and eliminating human errors.• Improved thermodynamics-based MS Excel models to provide accurate maximum power and efficiency estimates of heavy-duty gas turbines to customers.