Praveer Tiwari, Ph.D.

509-***-****

adwumv@r.postjobfree.com

https://www.linkedin.com/in/praveer-tiwari-data-scientist Summary

■ Dedicated computational physicist with 8 years of experience in compiling, transforming, and analyzing complex information through codes in python, C++, MATLAB, etc., leading to 5 publications including a publication in Physical Review D.

■ Led projects in machine learning and large dataset management with an ability to apply data science principles to data from physical systems such as neutron stars and dense hydrogen, as evidenced by the 2 publications in the American Physical Society and Molecular Physics.

■ Strong communication skills with an ability to manage dedicated projects with more than 6 collaborators for various data science research projects.

Work Experience

R&D and Data Science Expertise in Gravitational Wave Physics Gained as a Research Assistant in LIGO Group at Washington State University, Pullman

■ Designed surrogate models to test and validate physics inside neutron stars for accurately determining their observable which led to improvement in prediction speed by a factor of 10.

■ Developed intricate algorithms based on deep-dive statistical analysis and predictive data modeling which facilitated finding new correlations among variables.

■ Created highly profiled and version-controlled repositories for codes involving advanced neural network architectures, visualization, and analytics tools to analyze and process complex data sets, facilitating better communication with more than 20 users.

Machine Learning Expertise in Computational Physics Gained as a Research Student in McMahon Group at Washington State University, Pullman

■ Implemented physics-inspired neural network with various loss functions and optimization techniques to develop surrogate models leading to computational time gain of more than 20.

■ Collaborated with multi-disciplinary teams to exchange ideas in Quantum Monte Carlo and density functional theory to develop a pseudo-potential model for protons in dense hydrogen, published in Molecular Physics Journal.

■ Experience as a statistician with strong ability to modify contemporary tools according to system at hand, as demonstrated by papers below.

Praveer Tiwari, Ph.D.

Education

Ph.D. in Computational Physics with a focus on Gravitational Waves from Black Holes and Neutron Stars.

Techniques, Technical Skills & Documentation

Python

C/C++

Mercurial/Git

Deep Learning

Statistics

Data Visualization

MATLAB

SQL

TensorFlow/Keras

Microsoft Excel

Data Analysis

Team Management

Publications

■ A.K. Mehta, P. Tiwari, N.K. Johnson-McDaniel, C.K. Mishra, V. Varma, and P. Ajith. Including mode mixing in a higher-multipole model for gravitational waveforms from non- spinning black-hole binaries. Physical Review D, 100(2):024032, 2019.

■ R.S. Robinson, P. Tiwari, and J.M. McMahon. Pseudo pair potential between protons in dense hydrogen from first principles. Molecular Physics, 120(14), 2022.

■ P. Tiwari and J. M. McMahon. Machine-Learned Template Bank for Gravitational Waves. Bulletin of the American Physical Society, 62, 2017.

■ P. Tiwari and S. Rao. Genuinely multidimensional kinetic scheme for Euler equations. arXiv preprint arXiv:1510.00353, 2015.

■ P. Tiwari, D. Zhou, S. Bose, and M. Forbes. Towards a unified model for equation of state of neutron stars. In prep, 2023.

Voluntary Activities

Secretary, Graduate Physics Club (OSA-SPIE), WSU:

■ Organized more than 8 outreach events for graduate students at WSU.

■ Designed and implemented a laser maze (using Arduino and optical sensors) which was used by adults and their little ones for 4 major events.

Finance Chair, Indian Students' Association, WSU

■ Handled the finance for 6 major events showcasing Indian culture at WSU. President, WSU Cricket Club

■ Organized 5 regional tournaments in Washington State.

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