Shaurya Verma
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Shaurya Verma Email & Phone Number

Chief Manager - Data Science at Air India Limited
Location: Bengaluru, Karnataka, India 10 work roles 4 schools
1 work email found @airbus.com LinkedIn matched
✓ Verified July 2026 4 data sources Profile completeness 100%

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Current company
Role
Chief Manager - Data Science
Location
Bengaluru, Karnataka, India

Who is Shaurya Verma? Overview

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Quick answer

Shaurya Verma is listed as Chief Manager - Data Science at Air India Limited, based in Bengaluru, Karnataka, India. AeroLeads shows a work email signal at airbus.com and a matched LinkedIn profile for Shaurya Verma.

Shaurya Verma previously worked as AVP - Measurement Science at Barc India and Airline Business Data Analyst at Airbus. Shaurya Verma holds Master Of Engineering, Mechanical Engineering, 3.63/4 from University Of Florida.

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Email format at Air India Limited

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{first}.{last}@airbus.com
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Profile bio

About Shaurya Verma

Shaurya Verma is a Chief Manager - Data Science at Air India Limited. He possess expertise in cfd, fluid mechanics, matlab, ansys, fluent and 15 more skills. He is proficient in English, French, Spanish and Hindi.

Listed skills include Cfd, Fluid Mechanics, Matlab, Ansys, and 16 others.

Current workplace

Shaurya Verma's current company

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Air India Limited
Air India Limited
Chief Manager - Data Science
AeroLeads page
10 roles

Shaurya Verma work experience

A career timeline built from the work history available for this profile.

Chief Manager - Data Science

Current

Gurugram, Haryana, India

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

Feb 2024 - Present

Avp - Measurement Science

South Mumbai, Maharashtra, India

May 2022 - Feb 2024

Airline Business Data Analyst

Bengaluru, Karnataka, India

* 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.

Jul 2019 - May 2022

Engineer - Aerodynamic Design And Data

Bangalore

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

Dec 2013 - Jul 2019

Research Assistant

University Of Florida

Gainesville, Florida Area

* 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.

Oct 2012 - Apr 2013

Research Assistant

Gainesville, Florida Area

* 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.

Feb 2011 - Jan 2012

Research Assistant

Kharagpur Area, India

* 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.

Jan 2010 - May 2010

Summer Intern

Cmt- Universidad Politecnica De Valencia, Spain

Valencia, Spain

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.

May 2009 - Jul 2009

Summer Intern

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.

May 2008 - Jul 2008

Assistant Engineer - Intern

4C Acme

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.

Nov 2007 - Dec 2007
4 education records

Shaurya Verma education

Master Of Engineering, Mechanical Engineering, 3.63/4

Activities and Societies: IGSA (Indian Graduate Students' Association), Dance Team (Aaja Nachle), Dramatics club (Trinot)

FAQ

Frequently asked questions about Shaurya Verma

Quick answers generated from the profile data available on this page.

What company does Shaurya Verma work for?

Shaurya Verma works for Air India Limited.

What is Shaurya Verma's role at Air India Limited?

Shaurya Verma is listed as Chief Manager - Data Science at Air India Limited.

What is Shaurya Verma's email address?

AeroLeads has found 1 work email signal at @airbus.com for Shaurya Verma at Air India Limited.

Where is Shaurya Verma based?

Shaurya Verma is based in Bengaluru, Karnataka, India while working with Air India Limited.

What companies has Shaurya Verma worked for?

Shaurya Verma has worked for Air India Limited, Barc India, Airbus, University Of Florida, and Indian Institute Of Technology, Kharagpur.

How can I contact Shaurya Verma?

You can use AeroLeads to view verified contact signals for Shaurya Verma at Air India Limited, including work email, phone, and LinkedIn data when available.

What schools did Shaurya Verma attend?

Shaurya Verma holds Master Of Engineering, Mechanical Engineering, 3.63/4 from University Of Florida.

What skills is Shaurya Verma known for?

Shaurya Verma is listed with skills including Cfd, Fluid Mechanics, Matlab, Ansys, Fluent, Aerodynamics, Solidworks, and Pro Engineer.

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