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Dhanush V

Dhanush V

Project Trainee

Followers of Dhanush V1000 followers
location of Dhanush VBengaluru, Karnataka, India

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  • Timeline

  • About me

    Production Optimization Data scientist, Algorithms & numerical methods, Probability & Statistics, Data analysis, Uncertainty Quantification and Propagation, Machine Learning & Deep Learning, FEA Programming

  • Education

    • Cochin University of Science and Technology

      2010 - 2014
      Bachelor’s Degree Mechanical Engineering university 3rd rank

    • Leibniz Universität Hannover

      2016 - 2017
      Master’s Degree (Semester Exchange) Continuum Mechanics, Computational Contact Mechanics, Finite Element Methods

      Activities and Societies: DAAD Scholar

    • Indian Institute of Technology, Madras

      2015 - 2018
      Master’s Degree Computational Mechanics

      Activities and Societies: M S Scholar

  • Experience

    • ISRO - Indian Space Research Organization

      May 2013 - Apr 2014
      Project Trainee

      1. Research work at Solid Modelling Software Development (SMSD), VSSC, ISRO, Trivandrum.2. Finite element analysis of a single bolted lap joint using FEAST, to study the stiffness bolted joints.3. Validation of simulation results by physical testing with X-ray diffraction method from Central Power Research Institute (CPRI), Bangalore.

    • Eaton

      Aug 2018 - Nov 2020
      Finite Element Analysis Engineer

      Build efficient and appropriate FEA models (ANSYS WB 19.1/17.1) to simulate real situations (Linear and Nonlinear depend on product material and working conditions).Develop the Free Body Diagram (FBD) for reaction balancing checks.Weight Optimization using FEA (Genesis, OptiSLang).Evaluating newly available tools for maturing Digital Twin capabilities.Structural Mechanics: Stress and Fatigue (Stress and Strain based) analysis.Documentation of the final report for future reference. Show less

    • ExxonMobil

      Dec 2020 - now

      Currently working on quantile regression models for uncertainty quantification (UQ).Developed a Bayesian inference model and Monte Carlo simulations for pore pressure UQ prediction and propagation.Developed Physics-Informed Neural Networks (PINN) and XGBoost models for rock physics and sonic velocity predictions.

      • Data Scientist

        Aug 2024 - now

      • Research Engineer

        Dec 2020 - Aug 2024

  • Licenses & Certifications

  • Honors & Awards

    • Awarded to Dhanush V
      University Third Rank in B Tech-Mechanical Engineering. Cochin University of Science and Technology Apr 2014