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Youcef M - Postman developerLD Talent logo

Youcef M

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.
Software Engineer Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Experiences Qualifications Reviews Vetting
Overview
Basic Summary
LD Talent History
  • Average Count of Messages/Day 1.1
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 28h PST, 53h UTC
Interview Scores (3.2/5)
  • Software Engineering Process 3.0/5
  • Design Practice 3.0/5
  • Design Theory 3.0/5
  • Technical Breadth 4.0/5
  • Logical Thinking 3.0/5
  • Technical Strength 3.0/5
  • 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
  • Documentation 3.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
  • Tablet Android Tablet
General
  • Member Since Apr 25, 2021
  • Profile Last Updated May 11, 2021
  • Last Activity June 30, 2024, 5:40 p.m. UTC
  • Location Algeria
  • Current Status Student
Profile Summary
Computer Science graduate passionate about data engineering and machine learning. Highly-capable leader, having led multiple senior class projects to completion. Proficient in a range of modern technologies including Flutter, Python, and Java.
Skills
Total Experience: 6 years
  • Postman (2E, 5Y)

    2 experiences, across 5 years
  • Android Studio (4Y)

    4 years of experience
  • Adobe XD (4Y)

    4 years of experience
  • Dart (4Y)

    4 years of experience
  • Flutter (4Y)

    4 years of experience
  • Git (4Y)

    4 years of experience
  • Chatbots

  • Machine learning (1C)

    1 course
  • Deep learning (3C)

    3 courses
  • Python (1C)

    1 course
  • Tensorflow (1C)

    1 course
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 28h PST, 53h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
09 - 17
09 - 17
09 - 17
09 - 17
09 - 17
14 - 18
08 - 17
PST
02 - 10
02 - 10
02 - 10
02 - 10
02 - 10
07 - 11
01 - 10
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
  • Documentation
Experience
Developer
Employment
Feb 2021 - Present
Easy Relay Company
Transportation Industry
Project: Navette Application
  • Dart
  • Android Studio
  • Git
  • Adobe XD
  • Flutter
  • Postman
  • The application permits the user (driver) to login. It permits the user to check or uncheck the packages from the list.
  • The application permits the user to check the packages from the list automatically with a code-bare reader. It permits the user to check or uncheck the money-boxes from the list.
  • The application permits the user to confirm with SMS-code or Email-code the remittance of the money-boxes.
  • The application permits the user to filter by departure city or arrival city the list of packages or the list of money-boxes.
  • Android studio is the environment to build a flutter (dart) application. Postman used to test Api's and Git was used to save the version gradually. Adobe XD for the user interface description.
Student
Course Project
Oct 2019 - Nov 2019
Easy-Relay Company
Transportation Industry
Project: Chatbot
  • Postman
  • Chatbots
  • Machine learning
  • Chatbots were required to cover the after sales services.
  • Chatbots were broadly used to answer the frequently asked questions.
  • The chatbot answered customers about their packages' state. We used postman to test the API's to finally integrate them with the chatbot
  • Also machine learning was employed to reply intelligently.
Qualifications
Education
Ecole nationale Supérieure d'Informatique, ESI ex INI, Algiers
Sep 2016 - Sep 2021
Engineering Degree (Computer Science)
Courses
Structuring Machine Learning Projects
May 2020 - Jun 2020
Coursera
  • Deep learning
  • Machine learning
Neural Networks and Deep Learning
Apr 2020 - May 2020
Coursera
  • Deep learning
  • Python
Improving Deep Neural Networks
May 2020 - May 2020
Coursera
  • Deep learning
  • Tensorflow
Reviews
Interview Reviews
ThriveCommunity
enthusiastic individual but english communication could be improved
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