Nikesh Yadav, Ph.D.
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Nikesh Yadav, Ph.D. Email & Phone Number

Associate Vice President @ Sovrenn at Sovrenn
Location: India, India, India 9 work roles 3 schools
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Role
Associate Vice President @ Sovrenn
Location
India, India, India

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Nikesh Yadav, Ph.D. is listed as Associate Vice President @ Sovrenn at Sovrenn, based in India, India, India. AeroLeads shows a matched LinkedIn profile for Nikesh Yadav, Ph.D..

Nikesh Yadav, Ph.D. previously worked as Associate Vice President at Sovrenn and Project Manager at Idub Pob Beyond 2 Warsaw University Of Technology. Nikesh Yadav, Ph.D. holds Doctor Of Philosophy - Phd, Computational Mechanics, Distiction from Warsaw University Of Technology.

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Sovrenn

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About Nikesh Yadav, Ph.D.

I am an Associate Vice President at Sovrenn, a company that develops AI-driven tools for the financial and investment sectors. With a PhD in Computational Mechanics and over eight years of experience in machine learning research and development, I lead a team of talented researchers and developers who provide data-driven insights and solutions for our clients.Our goal is to enhance the efficiency, accuracy, and security of financial decision making and risk management, using machine learning, deep learning, and physics-informed neural networks. We leverage my expertise in fluid dynamics and infrasound signal processing, which are relevant and distinctive for our domain, to create novel models and algorithms that can handle complex and noisy data. I have published multiple papers in prestigious journals and conferences, and received awards for my outstanding research contributions. I am passionate about applying my expertise and skills to solve real-world problems and challenges.

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Nikesh Yadav, Ph.D.'s current company

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Sovrenn
Sovrenn
Associate Vice President @ Sovrenn
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9 roles

Nikesh Yadav, Ph.D. work experience

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Associate Vice President

Current

Delhi, India

Sep 2023 - Present

Project Manager

Idub Pob Beyond 2 Warsaw University Of Technology

Warsaw Metropolitan Area

Machine learning-assisted design of fluid Mixer 1. Development of a deep-learning model that can predict a fluid flow over obstacles.2. Model is trained over the selected flow parameters for whole flow evolution.3. Flow prediction for unknown parameters has good accuracy. 4. Currently, the model is parameterized for the motion of the cylinder with the goal.

Jan 2022 - Jun 2023

Machine Learning Researcher

Warsaw, Mazowieckie, Poland

Developing new ML models based on Physics Informed neural network for modeling sound wave propagation. The model is trained on data from novel low-cost infrasound microphones developed by our team. Microphones are installed in Virgo, Italy under the Horizon 2020 Project.I have developed and evaluated a convolution neural network with multi-head.

Apr 2021 - Jun 2023

Assistant Professor

Nowowiejska 24

I was taking the Computer science -1 laboratory of the 1-year undergraduate students. I was teaching the basics of the programming using C language. Currently, I am teaching numerical methods laboratory classes.

Oct 2013 - Jun 2023

Phd

Warsaw, Masovian District, Poland

I have implemented a Discontinuous Galerkin based solver using Python programming language for compressible flows. It is based on Triangular meshes with h,p adaptation. The code is validated by running test cases of the compressible and incompressible flow with the results of OpenFOAM. Simultaneously Nektar++ (An Open-Source C++ library of h to p finite.

Oct 2013 - Apr 2019

Preludium 15

Warsaw, Mazowieckie, Poland

1. Design of computational geometries and grids, simulation of base flows for an unbounded, periodic case.2. Analysis of the base flows focusing on the hydraulic losses introduced by the geometrical wall modulation.3. Investigation of the linear stability properties of the base flows using the Direct Numerical Simulation (DNS) technique.4. Investigation of.

Jan 2019 - Jan 2021

Graduate Engineering Trainee

Gurgaon, India

Making comparison sheets of prices of different suppliers. Finalizing the specifications of materials and establishing quantity limits for effective inventory control and reducing wastages. Streamlining the system and procedures for effective inventory control for ensuring ready availability of materials to meet the production targets. Material.

Jun 2010 - Jul 2011
3 education records

Nikesh Yadav, Ph.D. education

Doctor Of Philosophy - Phd, Computational Mechanics, Distiction

I have implemented a Discontinuous Galerkin based solver using Python programming language for compressible flows. It is based on.

Master Of Technology - Mtech, Thermal Engineering, 7.7/10

Nit Warangal

Education record

Gbn Sr. Sec School, Faridabbad
FAQ

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What company does Nikesh Yadav, Ph.D. work for?

Nikesh Yadav, Ph.D. works for Sovrenn.

What is Nikesh Yadav, Ph.D.'s role at Sovrenn?

Nikesh Yadav, Ph.D. is listed as Associate Vice President @ Sovrenn at Sovrenn.

Where is Nikesh Yadav, Ph.D. based?

Nikesh Yadav, Ph.D. is based in India, India, India while working with Sovrenn.

What companies has Nikesh Yadav, Ph.D. worked for?

Nikesh Yadav, Ph.D. has worked for Sovrenn, Idub Pob Beyond 2 Warsaw University Of Technology, Astrocent, Politechnika Warszawska, and Warsaw University Of Technology.

How can I contact Nikesh Yadav, Ph.D.?

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What schools did Nikesh Yadav, Ph.D. attend?

Nikesh Yadav, Ph.D. holds Doctor Of Philosophy - Phd, Computational Mechanics, Distiction from Warsaw University Of Technology.

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