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Akash Pandey

Ph.D. candidate at Northwestern University | Building Interpretable ML for Proteins

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About

Akash Pandey is a Ph.D. student at Northwestern University with a keen interest in material failure analysis using computational methods. He has a Master's degree in Solid Mechanics from IIT Madras, where he worked on characterizing the fatigue property of Macro-fiber composite using experimental and computational methods. Akash has over 5 years of relevant experience, having worked as an Engineering Lead at Infosys and an Advanced Rotatives Engineer at Rolls Royce. During his tenure, he worked on stress analysis, fatigue life assessment, and fracture mechanics assessment of discs in Rolls Royce engines. He also developed algorithms to continuously track the life consumption of discs while in service. As a Ph.D. student, Akash plans to work on mathematical and computational modeling of composite materials. He aims to contribute to the development of new materials that can withstand extreme conditions and have a longer lifespan. Akash's technical skills include research, solid mechanics, and material failure analysis. He is a Research Scientist with a strong background in stress analysis, low cycle fatigue life estimation, and fracture mechanics assessment. Overall, Akash is a highly skilled and motivated individual with a passion for research and development. He has a proven track record of excellence in his field and is committed to making a meaningful contribution to the scientific community.

Education Overview

iit madras indian institute of technology madras

madras institute of technology anna university

Companies Overview

northwestern university

capital one

infosys

rolls royce

Experience Overview

7.2 Years

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Experience

Ph.D. Candidate

northwestern university | Evanston, Illinois, United States

2022 - Present

Data Science PhD Intern

capital one | San Jose, California, United States

2024 - 2024

Ph.D. Student

northwestern university | Evanston, Illinois, United States

2021 - 2022

Engineering Lead

infosys | Bengaluru, Karnataka, India

2021 - 2021

Advanced Rotatives Engineer / Extended Developement Program

rolls royce | Bengaluru Area, India

2019 - 2021

Global Graduate Engineer

rolls royce | India

2017 - 2018

Skills

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Abaqus

architectures

Basics of Machine Learning

Composite Structures

Computational Mechanics

Deep Learning

Design

Fatigue Analysis

Finite Element Analysis

finite element analysis

GitHub

Machine Learning

Machine Learning (ML)

Matlab

Microsoft Excel

Microsoft Office

Microsoft Word

Python

Research

Research Scientist

Siemens NX

Solid Mechanics

Contact Details

Email (Verified)

panXXXXXXXXXXXXXXXXXXom

Mobile Number

+91XXXXXXXXXX

Education

iit madras indian institute of technology madras

Master of Science (M.S.)

2014 - 2017

madras institute of technology anna university

Bachelor of Engineering (B.E.)

2010 - 2014

Frequently asked questions

What company does Akash Pandey work for?

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Akash Pandey works for northwestern university

What is Akash Pandey role in his workplace?

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Akash Pandey's role in his workplace is Ph.D. Candidate

What is Akash Pandey's tenure in his workplace?

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Akash Pandey's tenure in his workplace is 1.92 years

What is Akash Pandey's total experience?

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Akash Pandey's total experience is 7.17 years

What is Akash Pandey's LinkedIn profile?

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Akash Pandey's LinkedIn profile can be found here

What is Akash Pandey's email address?

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Akash Pandey's email address is panXXXXXXXXXXXXXXXXXXom. Unlock here

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Akash Pandey's phone number is +91XXXXXXXXXX. Unlock here

What schools did Akash Pandey attend?

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Akash Pandey has attended iit madras indian institute of technology madras, madras institute of technology anna university

What companies has Akash Pandey worked with?

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Akash Pandey has worked with northwestern university, capital one, northwestern university, infosys, rolls royce, rolls royce

What are some of Akash Pandey's skills?

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Akash Pandey has skills in Abaqus, architectures, Basics of Machine Learning, Composite Structures, Computational Mechanics, Deep Learning and more.

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