I lead a Data Science team working on creating Solutions to Engineering and Aircraft Operations problems employing Statistics, Neural Networks, and Core Aircraft Knowledge.

* In-Service Aircraft Incident Analysis: Working on decoding and analyzing Airbus black box (DFDR/QAR/DAR) data for incidents like hard landings, turbulence, auto-pilot malfunctions, GPWS (terrain avoidance) issues, engine anomalies etc, for medium term requests, as well as high reactivity AOG (Aircraft on Ground) requests. In addition, I create and maintain tools to assist in the team’s work, like for dataframe decoding and comparison, KML editing, analysis automation etc.* Flight Data Quality Analysis: Working on analysis of Flight Data Quality on Airbus’s Airline data platform (Skywise). This involves deciding KPIs and metrics, creating dashboards for monitoring, as well as designing anomaly and spike detection algorithms on the data streams. * Airline and Flight Analysis: Worked on analyzing flight operations data – to understand anomalies & propose improvements in flight trajectories & operations. This involved analytics in Python, Spotfire & Airbus internal tools. * FACT (Future Aircraft Challenge): Nominated to an internal Airbus team to develop conceptual future aircraft (2040 & beyond). While my role was that of an aerodynamics specialist, my work involved studying emerging technologies, evolving constraints and their potential impact to future aircraft.

Aero Data for Performance (Jan 2016 – Current)* UNCERTAINTY MANAGEMENT – Developed codes in R to statistically quantify aerodynamic uncertainties in drag in the airbus fleet and subsequently used Monte-Carlo methods to study the propagation of combined uncertainties and deliver impact on drag confidence intervals for different aircraft. * FLIGHT TEST ANALYSIS (QUASI-STEADY & STEADY) – Analyzed data from various flight test campaigns using R and Spotfire including computing optimal aileron deflection angles by studying and modeling impact of aileron angles on drag, as well as delivering acceptance test results for several MSNs. * HIGH SPEED ACCURACY ANALYSIS – Studied the accuracy of the current drag prediction process using CFD without read-across for the airbus fleet. Compared predictions to results and analyzed trends across Mach, Altitude, CL, Weight, etc to understand potential biases and errors in the current methods and tools. * SCALING PROCESS – Worked on delivering aerodynamic data for performance, including some elements of the scaling process from CFD/wind tunnel to flight tests – Sting effect, Reynolds effect, Twist effect. * STING CORRECTIONS – Calculated updated sting corrections using MATLAB for A350 to calibrate CFD and wind tunnel settings compared with flight tests thus improving accuracy of wind tunnel predictions. * TRIM PARAMETER ID – Created an automated excel tool to obtain trim parameters for different aircraft.Aero Data for Loads (July 2017 – Dec 2017)* WING/WINGLET LATERAL LOADS – Analyzed in MATLAB lateral loads on wing and winglets for an in-development A380 variant, including a study of the alpha and beta effect at low and high speeds of the variant.* ANTENNA LOADS – Made a basic analysis of loads on the different antenna fairings across the fleet.Miscellaneous Aerodynamic Projects (Jan 2014 – Dec 2015)* POWERPLANT AERODYNAMICS * FAILURE CASES * PERFORMANCE

* Worked as a part of a team investigating the effects of free-stream turbulence on aerodynamic characteristics oflow aspect ratio flat plate wings and contrasted the results with those obtained from laminar flow.* Employed static and dynamic turbulence generating grids to trigger turbulence in a low speed wind tunnel withan open jet test section and then tested load levels obtained for three wings of different aspect ratios.* The tests revealed substantial increases in lift and stall angles for wings of aspect ratios greater than two and thus indicating initiation of turbulence upwind of such wings to be highly beneficial.

* Developed an analytical model for the growth of bubbles in a Lithium Bromide solution. Since, in the temperature range of interest only water was volatile, a mass diffusion based model was used. * The inertial bubble growth model was compared to the Epstein and Plesset solution for bubble growth in infinite liquids and was found to over predict growth by 30%.* The model was modified for growth in a micro-channel, of the dimensions of typical desorption ducts in refrigerators and growth rate and minimum convection velocity of the bubble train was calculated.* Quantification of the rate of cooling due to desorption requires an accurate understanding of growth rates at different stages. My model simulated the growth once full diameter was achieved.* Worked on an experimental model to study the growth of bubbles in micro-channels in LiBr solutions.

* Computationally studied the effect of sub-boundary layer vortex generators (SBVG) in downstream shockwave boundary interactions as a means of increasing the efficiency of supersonic airfoils.* Using FLUENT, SBVGs of around 40-70% of the boundary layer thickness were tested and reductions in shock losses of the order of 30 percent were obtained.

Successfully completed Summer Internship involving “Modeling of Fuel Flow in a Diesel Engine Injector Nozzle”, under the guidance of Dr. Raul Payri Marin, Professor, Department of Heat Engines, UPV, to make a computational model of the flow inside the nozzle of a direct injection diesel engine during injection. The project involved extensive use of finite volume techniques using the Open Source CFD package - OpenFOAM 1.5.

I successfully completed my summer Internship titled “Design and Development of Front Wings for Formula Racing Cars” under the guidance of Dr. PMV Subbarao, Professor, Mechanical Engineering Department, IIT Delhi (May – July 2008), to optimize the shape of the front wing to achieve maximum negative lift and low drag.

Worked as an Assistant Engineer - Trainee : 1 month extensive training which included modules on Software used to simulate and design locks, Foundation Courses in Manufacturing and Production and Lifeskills. I was part of the team which worked on developing more efficient systems to streamline the entire process and developing new cylindrical and mortise locks, involving extensive use of graphics software like DELCAM and UG.