Ishan Koradia
Web Application Developer at ITdeation Technologies LLP- Claim this Profile
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Bio
Credentials
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Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization
DeepLearning.AIAug, 2021- Oct, 2024 -
Structuring Machine Learning Projects
DeepLearning.AIAug, 2021- Oct, 2024 -
Javascript course with Jquery and Ajax
Udemy: Online CoursesJun, 2021- Oct, 2024 -
Laravel React CRUD/SPA APP
UdemyJun, 2021- Oct, 2024 -
Computational Machine Learning for Scientists and Engineers
ECE ContinuumMay, 2021- Oct, 2024 -
Fundamental Analysis
Rachana Ranade and AssociatesMay, 2021- Oct, 2024 -
Neural Networks and Deep Learning
DeepLearning.AIFeb, 2021- Oct, 2024 -
CutShort Certified Python - Advanced
CutShortJan, 2021- Oct, 2024 -
Basics of Stock Market
Rachana Ranade and AssociatesJul, 2020- Oct, 2024 -
Machine Learning With Big Data
University of California San DiegoApr, 2019- Oct, 2024
Experience
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ITdeation Technologies LLP
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India
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IT Services and IT Consulting
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1 - 100 Employee
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Web Application Developer
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Mar 2021 - Present
Php | Javascript | MySql | React JS | Laravel | CSS | HTML Php | Javascript | MySql | React JS | Laravel | CSS | HTML
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Aga Khan Foundation Canada
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Canada
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Non-profit Organizations
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1 - 100 Employee
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Data Platforms Intern
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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.
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University of Michigan
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United States
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Higher Education
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700 & Above Employee
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ML and Coding coach - Jumpstart Continuum course
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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
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Grader
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Sep 2020 - Dec 2020
Helped in grading assignments for graduate level course, EECS 554 : Introduction to Digital Communication and Coding
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Student Researcher
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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).
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Grader
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Jan 2020 - May 2020
Helped in grading assignments for course EECS 301 : Probabilistic methods in Engineering
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Data Analyst
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May 2018 - Nov 2018
Designing python solutions for research on Uncertainty Quantification. Designing python solutions for research on Uncertainty Quantification.
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Research Fellow
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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%.
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Indian Institute of Technology, Kanpur
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India
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Higher Education
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700 & Above Employee
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Research Intern
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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.
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Research Intern
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Jul 2016 - Aug 2016
Model Predictive Control for Adaptive Cruise Control (ACC) Vehicle Model Predictive Control for Adaptive Cruise Control (ACC) Vehicle
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Education
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University of Michigan College of Engineering
MSE, Applied Electromagnetics and RF circuits -
Mahindra École Centrale
Bachelor of Technology - BTech, Electrical and Electronics Engineering