Ishan Koradia

Web Application Developer at ITdeation Technologies LLP
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Contact Information
us****@****om
(386) 825-5501
Location
Ahmedabad, Gujarat, India, IN

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Credentials

  • Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
    DeepLearning.AI
    Aug, 2021
    - Oct, 2024
  • Structuring Machine Learning Projects
    DeepLearning.AI
    Aug, 2021
    - Oct, 2024
  • Javascript course with Jquery and Ajax
    Udemy: Online Courses
    Jun, 2021
    - Oct, 2024
  • Laravel React CRUD/SPA APP
    Udemy
    Jun, 2021
    - Oct, 2024
  • Computational Machine Learning for Scientists and Engineers
    ECE Continuum
    May, 2021
    - Oct, 2024
  • Fundamental Analysis
    Rachana Ranade and Associates
    May, 2021
    - Oct, 2024
  • Neural Networks and Deep Learning
    DeepLearning.AI
    Feb, 2021
    - Oct, 2024
  • CutShort Certified Python - Advanced
    CutShort
    Jan, 2021
    - Oct, 2024
  • Basics of Stock Market
    Rachana Ranade and Associates
    Jul, 2020
    - Oct, 2024
  • Machine Learning With Big Data
    University of California San Diego
    Apr, 2019
    - Oct, 2024

Experience

    • India
    • IT Services and IT Consulting
    • 1 - 100 Employee
    • Web Application Developer
      • Mar 2021 - Present

      Php | Javascript | MySql | React JS | Laravel | CSS | HTML Php | Javascript | MySql | React JS | Laravel | CSS | HTML

    • Canada
    • Non-profit Organizations
    • 1 - 100 Employee
    • Data Platforms Intern
      • Mar 2021 - Jul 2021

      The most crucial task in any data science and ML application is cleaning and prepping data. This was one of my tasks at AKF and I used python to do this. Another interesting task thta I worked on was Data visualization which included creating dashboards and reports for various projects. The most crucial task in any data science and ML application is cleaning and prepping data. This was one of my tasks at AKF and I used python to do this. Another interesting task thta I worked on was Data visualization which included creating dashboards and reports for various projects.

    • United States
    • Higher Education
    • 700 & Above Employee
    • ML and Coding coach - Jumpstart Continuum course
      • Jan 2021 - Jun 2021

      Continuum Jumpstart Computational Machine Learning (ML) course for Scientists and Engineers is designed to equip you with the knowledge you need to understand, train, and design machine learning algorithms, particularly deep neural networks

    • Grader
      • Sep 2020 - Dec 2020

      Helped in grading assignments for graduate level course, EECS 554 : Introduction to Digital Communication and Coding

    • Student Researcher
      • Jan 2020 - Jul 2020

      Researched and learned about intricate concepts in rough surface scattering with application in Remote Sensing.• Assessed the statistical properties of bicontinuous random microstructures and simulated the scattered far field using Discrete Dipole Approximation.• Computed the coherent and incoherent components in the bistatic scattered field from a 2D random rough surface using T-matrix method and MoM (Method of Moments).

    • Grader
      • Jan 2020 - May 2020

      Helped in grading assignments for course EECS 301 : Probabilistic methods in Engineering

    • Data Analyst
      • May 2018 - Nov 2018

      Designing python solutions for research on Uncertainty Quantification. Designing python solutions for research on Uncertainty Quantification.

    • Research Fellow
      • Aug 2017 - Apr 2018

      Characterization of 3D scattered field from a Dihedral Corner Reflector:• The scattering parameters were computed by solving Maxwell’s eqs in the domain of Physical Optics approximation.• The analytical solution obtained is plotted in Matlab for different aspect angles of transmitter & receiver around the specular direction and compared against the simulated results acquired using the CST (Computer Simulation Software) software. The error is less than 5%. Characterization of 3D scattered field from a Dihedral Corner Reflector:• The scattering parameters were computed by solving Maxwell’s eqs in the domain of Physical Optics approximation.• The analytical solution obtained is plotted in Matlab for different aspect angles of transmitter & receiver around the specular direction and compared against the simulated results acquired using the CST (Computer Simulation Software) software. The error is less than 5%.

    • India
    • Higher Education
    • 700 & Above Employee
    • Research Intern
      • Jun 2017 - Jul 2017

      Calculating minimum potential energy path for a robot:• Designed a cost function taking into account basic principles of Physics and computed the trajectory using Steepest Descent Algorithm on the Matlab Software. Calculating minimum potential energy path for a robot:• Designed a cost function taking into account basic principles of Physics and computed the trajectory using Steepest Descent Algorithm on the Matlab Software.

    • Research Intern
      • Jul 2016 - Aug 2016

      Model Predictive Control for Adaptive Cruise Control (ACC) Vehicle Model Predictive Control for Adaptive Cruise Control (ACC) Vehicle

Education

  • University of Michigan College of Engineering
    MSE, Applied Electromagnetics and RF circuits
    2019 - 2021
  • Mahindra École Centrale
    Bachelor of Technology - BTech, Electrical and Electronics Engineering
    2014 - 2018

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