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Shubham G - Azure developerLD Talent logo

Shubham G

The star rating is a representation of the overall rating, calculated as the mean of the client satisfaction rating, the average client interview rating, and internal interview scores.

The client satisfaction rating is the weighted average of client ratings, with weights based on reviewed work hours. When no client rating exists, the approval fraction (approved vs. reviewed work hours) determines it.

If the client satisfaction rating exceeds the overall rating, it becomes the star rating. In the absence of client ratings, if the average client interview rating is higher than the overall rating, it becomes the star rating. If no data is available, the star rating defaults to the internal interview score.
PYTHON DEVELOPER Preferred Title
$15.00 /hr $ 10.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 0.3
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 39h PST, 45h UTC
Interview Scores (3.6/5)
  • Software Engineering Process 3.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 4.0/5
  • Logical Thinking 5.0/5
  • Technical Strength 5.0/5
  • System Design 3.0/5
  • Productivity and Responsiveness 3.0/5
  • Teamwork 3.0/5
  • Agile Development Process 3.0/5
  • Intellectual Merit 4.0/5
  • English Communication 5.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Sep 08, 2021
  • Profile Last Updated Dec 15, 2021
  • Last Activity May 3, 2022, 12:32 p.m. UTC
  • Location India
  • Current Status Student
Profile Summary
Lifelong learner dedicated to constantly improving his skills through hands-on learning and development work. Proficient in mobile and desktop development environments. Skilled at using Python, Java, JavaScript and other programming languages to produce clean code. Well-organized and collaborative team member with strong communication and analytical abilities.
Skills
Total Experience: 5 years
  • Azure (2E, 5Y, 1C)

    2 experiences, across 5 years, with 1 course
  • keras (5Y)

    5 years of experience
  • Python (3E, 5Y)

    3 experiences, across 5 years
  • Web scrapers (5Y)

    5 years of experience
  • Deep learning (3E, 5Y)

    3 experiences, across 5 years
  • Computer vision (2E, 5Y)

    2 experiences, across 5 years
  • Augmented Reality AR (4Y)

    4 years of experience
  • Raspberry Pi (4Y)

    4 years of experience
  • Data Analytics

  • MySQL

  • Data Science

  • Machine learning

  • GPU accelerators

  • Python Selenium

  • Microsoft Excel

  • AWS EC2 (1C)

    1 course
  • AWS DynamoDB (1C)

    1 course
  • AWS S3 (1C)

    1 course
  • AWS CloudFront (1C)

    1 course
  • AWS Cloud Compliance (1C)

    1 course
  • AWS Lambda (1C)

    1 course
  • AWS (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 39h PST, 45h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
00 - 10
00 - 10
12 - 20
12 - 18
12 - 19
00 - 18
00 - 10
PST
17 - 03
17 - 03
05 - 13
05 - 11
05 - 12
17 - 11
17 - 03
Vetting
  • Interview Data
  • Software Engineering Process
  • Design Practice
  • Design Theory
  • Technical Breadth
  • Logical Thinking
  • Technical Strength
  • System Design
  • Productivity and Responsiveness
  • Teamwork
  • Agile Development Process
  • Intellectual Merit
  • English Communication
  • Documentation
Experience
Student
Internship
Jul 2020 - Present
Microsoft Learn Company
Education Industry
Project: Alpha Microsoft Student Learn Ambassador
  • Web scrapers
  • keras
  • Python
  • Computer vision
  • Deep learning
  • Azure
  • As part of Microsoft Learn Student Ambassadors program, I worked on several projects with my fellow ambassadors and people from all around the world.
  • I have worked on projects related to Deep learning, keras and Computer vision like an AI fitness trainer and feature extraction model. I also built a CNN model to detect and classify exercise poses.
  • I have also worked with Web scrapers using python and deployed applications of Microsoft Azure cloud.
Website Links
  • https://github.com/shub-garg/Feature-Extraction-using-OpenCV
  • https://github.com/shub-garg/Weather-GUI
  • https://github.com/shub-garg/AI-Trainer-using-OpenCV
  • https://github.com/shub-garg/CNN-model-for-yoga-pose-detection
Github Links
  • https://github.com/shub-garg/Feature-Extraction-using-OpenCV
  • https://github.com/shub-garg/Weather-GUI
  • https://github.com/shub-garg/AI-Trainer-using-OpenCV
  • https://github.com/shub-garg/CNN-model-for-yoga-pose-detection
Developer
Internship
Aug 2021 - Present
Deep Sight AI Labs Company
Technology Industry
Project: Computer Vision Software Engineer
  • Computer vision
  • Raspberry Pi
  • Augmented Reality AR
  • Deep learning
  • Used Computer vision and Deep Learning techniques to deploy AI solutions for banks on Raspberry Pi.
  • The input to the models were augmented using Augmented Reality AR and pre-processed to achieve maximum accuracy with lowest latency.
Developer
Internship
Jan 2021 - Mar 2021
I4C Company
Technology Industry
Project: Project Associate
  • Python
  • Microsoft Excel
  • Python Selenium
  • Azure
  • In this internship, I used platforms like Python, Microsoft Azure, Python Selenium, and Microsoft Excel to automate tasks for conducting 2 major Hackathons.
  • The projects I worked on were: A program to automate WhatsApp messages using python selenium and an automation software that sends mass mails to all schools who didn't register for the hackathon yet.
Website Links
  • https://github.com/shub-garg/Email-Crawler-Analyser-and-Visualizer
  • https://github.com/shub-garg/WhatsApp-Bot
Github Links
  • https://github.com/shub-garg/Email-Crawler-Analyser-and-Visualizer
  • https://github.com/shub-garg/WhatsApp-Bot
Developer
Internship
Sep 2020 - Dec 2020
The Sparks Foundation Company
Technology Industry
Project: Mentor, Data Science & Business Analytics Intern
  • Machine learning
  • Python
  • Data Analytics
  • GPU accelerators
  • Deep learning
  • MySQL
  • Data Science
  • I used skills like Data Science, Data Analytics, Machine Learning, and Deep Learning to build projects using python and MySQL on various platforms like Jupyter notebooks, visual Studios etc.
  • The projects included various problem statements like the Iris Flower problem, a model for Business Analytics, the Boston Housing problem and many more.
  • After my term as an intern, I was also selected as a mentor to help & guide the new interns with their projects.
  • Used GPU accelerators in all of my projects.
Website Links
  • https://github.com/shub-garg/The-sparks-Foundation-Internship
Github Links
  • https://github.com/shub-garg/The-sparks-Foundation-Internship
Qualifications
Education
Amity School of Engineering & Technology, Amity University Noida
Jun 2019 - Jun 2023
B.Tech (Computer Science & Engineering)
Courses
AWS Certified Cloud Practitioner
Jan 2021 - Jan 2021
Amazon Web Services
  • AWS EC2
  • AWS DynamoDB
  • AWS S3
  • AWS CloudFront
  • AWS Cloud Compliance
  • AWS Lambda
  • AWS
Microsoft Certified Azure AI Fundamentals
Jun 2021 - Jun 2021
Microsoft
  • Azure
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