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Hadjer B - Python developerLD Talent logo

Hadjer B

The star rating is calculated by averaging the reviews provided by all clients the talent has worked with for a significant amount of time.

If such data is not available, the star rating is calculated from the fraction of work sessions approved by their past clients versus the total tracked by the talent.

If such data is not available, the star rating defaults to the interview rating of the talent at the time of the vetting process.

Other data including reviews from interviews are available on the talents’ profiles but do not influence their star rating, though they do influence their position in the search results.
Software Engineer/ Data Science & AI student Preferred Title
$15.00 /hr $ 20.0K /yr Hourly Rate and Yearly Salary
Overview Vetting Experiences Qualifications
Overview
Basic Summary
LD Talent History
  • Average Response Time 12.0 hours
  • Average Count of Messages/Day 0.4
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 47h PST, 46h UTC
Vetting Summary
  • Code Quality 60%
  • Soft Skill Attributes 60%
  • Expertise 2/3
  • Coding Challenges 60%
  • No. of Lifelong Learning Projects 2
  • No. of Coding Challenges Completed 2
  • More details
Interview Scores (3.7/5)
  • Software Engineering Process 3.0/5
  • Technical Breadth 4.0/5
  • Algorithmic Thinking 4.0/5
  • Technical Strength 4.0/5
  • Teamwork 3.0/5
  • Intellectual Merit 4.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Jun 08, 2021
  • Profile Last Updated Feb 15, 2022
  • Last Activity Feb. 16, 2022, 8:02 a.m. UTC
  • Location France
  • Current Status Student
Profile Summary
I am a software engineer from Algiers, Algeria from the Higher National School of Computer Science of Algiers, the first school nationwide. Currently, I am finishing a master's degree in Data Science & AI at the INP Grenoble ENSIMAG, one of the best computer science schools in France. I am mainly interested in machine and deep learning, natural language processing, and data visualization.
Skills
Total Experience: 4 years
  • Python (4E, 1Y)

    4 experiences, 1 year
  • Pandas (2E, 1Y)

    2 experiences, 1 year
  • Matplotlib (2E, 1Y)

    2 experiences, 1 year
  • Deep learning (2E, 1Y)

    2 experiences, 1 year
  • Numpy (2E, 1Y)

    2 experiences, 1 year
  • Data Engineering (1E, 1Y)

    1 experience, 1 year
  • Tensorflow (1E, 1Y)

    1 experience, 1 year
  • qTest (1E, 1Y)

    1 experience, 1 year
  • Data visualization (1E, 1Y)

    1 experience, 1 year
  • Machine learning (1E, 1Y)

    1 experience, 1 year
  • Flask (1E, 1Y)

    1 experience, 1 year
  • Plotly (1E, 1Y)

    1 experience, 1 year
  • Jupyter (1E, 1Y)

    1 experience, 1 year
  • Computer vision (1E, 1Y)

    1 experience, 1 year
  • MySQL (2E, 1Y)

    2 experiences, 1 year
  • Django (2E, 1Y)

    2 experiences, 1 year
  • Kotlin (1E, < 1Y)

    1 experience, less than a year
  • REST (1E, < 1Y)

    1 experience, less than a year
  • Web scrapers (1E, < 1Y)

    1 experience, less than a year
  • React (1E, < 1Y)

    1 experience, less than a year
  • JavaScript (1E, < 1Y)

    1 experience, less than a year
  • jQuery (1E, < 1Y)

    1 experience, less than a year
  • CSS (1E, < 1Y)

    1 experience, less than a year
  • HTML (1E, < 1Y)

    1 experience, less than a year
Weekly Availability
Timezone Overlap with 06 - 21 per Week: 47h PST, 46h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
05 - 14
05 - 14
15 - 24
15 - 24
15 - 24
15 - 24
15 - 24
PST
22 - 07
22 - 07
08 - 17
08 - 17
08 - 17
08 - 17
08 - 17
Vetting
  • Interview Data
  • Agile Development Process
  • Productivity and Responsiveness
  • Teamwork
  • Software Engineering
  • Logical Thinking
  • Technical Strength
  • Intellectual Merit
  • English Communication
  • Documentation
  • System Design
  • Coding Challenges
    60%
  • Algorithms Score
    60%
  • General Score
    60%
  • Easy Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Medium Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Hard Algorithm
  • Correctness
    60%
  • Performance
    60%
  • Expertise
    2/3
  • Design Patterns and Architectures
    2/3
  • Debugging
    2/3
  • Stack Traces
    2/3
  • Testing
    2/3
  • System Administration
    2/3
  • Soft Skill Attributes
    60%
  • Entrepreneurial
    60%
  • Whole Brained
    60%
  • Divergent Thinking / Creativity
    60%
  • Design Ability
    60%
  • Empathy
    60%
  • Project Management Ability
    60%
  • Security
    60%
  • Code Quality
    60%
  • Complex Logic
    60%
  • Models
    60%
  • Controllers
    60%
  • Templates
    60%
  • APIs
    60%
  • Training/Testing Data Models
    60%
  • Code Readability
    60%
  • Ongoing Evaluation
  • Number of Lifelong Learning Project
    2
  • Number of Coding Challenge Completed
    3
  • Lifelong Learning Project 1
  • Lifelong Learning Project 1
  • Coding Challenges 1
  • Coding Challenges 2
  • Coding Challenges 3
Experience
Software Engineer
Passion Project
Nov 2020 - Jun 2021
AIMx: Algerian AI mission Company
Transportation Industry
Project: Automated Road Defect Detection on Edge
  • Pandas
  • Numpy
  • Deep learning
  • Computer vision
  • Jupyter
  • Python
  • I was selected with my team to work on our project Automated Road Defect Detection using AI on the edge technologies in the AImX competition among 20 other teams.
  • About the competition: https://www.aim-x.org/algeria-ai-challenge
  • This project is a deep learning and computer vision on Edge project
  • We used a YOLO model with python using numpy and pandas to help with the implementation
  • We worked on jupyter and collab before the deployment
Website Links
  • https://drive.google.com/file/d/1qZaSPT9ubd397cTJBg4B-5apHcSEKw65/view
QA Engineer
Passion Project
Jul 2020 - Apr 2021
deeplearning.ai Company
Education Industry
Project: Testing online AI courses
  • Numpy
  • Deep learning
  • Data Engineering
  • Tensorflow
  • Python
  • qTest
  • Matplotlib
  • DeepLearning.AI is an e-learning company founded by Andrew NG that deliver AI related courses
  • My role was testing (qTest) deeplearning.ai's courses and assignement before their release
  • I participated in testing the Machine learning for production specialization
  • The course is about deep learning and data engineering
  • The assignment require a knowledge about python, numpy, pandas, matplotlib and tensorflow
Website Links
  • https://www.deeplearning.ai/program/machine-learning-engineering-for-production-mlops/
Developer
Internship
Feb 2020 - Sep 2020
LIRIS Laboratory, Lyon, France Company
Healthcare Industry
Project: Side-effects prediction after ImmunoTherapy for cancer treatment
  • Pandas
  • Flask
  • Python
  • Machine learning
  • Data visualization
  • Plotly
  • Matplotlib
  • This sub-project is part of the WP6 Monitoring the health status of patients & providing actionable in in the European Qualitop project
  • I am using machine learning, clustering and cluster analysis and data visualization
  • I implement different cluster algorithms in python using pandas and numpy libraries
  • For the visualization part I am working on a Web application with Matplotlib, plotly and Dash (Dash is a framework based on flask)
Website Links
  • https://h2020qualitop.liris.cnrs.fr/wordpress/index.php/project/
Software Engineer
Course Project
Feb 2020 - Jun 2020
Higher School of Computer Science of Algiers Company
Healthcare Industry
Project: Corona Watch
  • MySQL
  • Django
  • React
  • Web scrapers
  • REST
  • Python
  • Kotlin
  • This project aims to build a mobile app for tracking the coronavirus and determine the most dangerous zones nationwide and make the user able to declare a suspected case in one click.
  • This project makes the user able to declare a suspected case in one click and also display all the related news.
  • This project includes a mobile app with Kotlin, a Django rest API for the backend, and uses react js for the web front (an administration site).
  • The project API also include a web scrapers module build in python that scraps covid related news from Youtube, Twitter and Google news.
  • I worked on the API, the scrapping module and the web frontend and the database conception with MySQL
Website Links
  • https://github.com/aminatadjer/CoronaWatchAdmin
Github Links
  • https://github.com/aminatadjer/CoronaWatchApi
Web Developer
Internship
Aug 2017 - Sep 2017
Sonatrach Company
Energy Industry
Project: Fuel and/or maintenance demanding and managing for the service vehicle.
  • MySQL
  • JavaScript
  • Django
  • HTML
  • jQuery
  • CSS
  • SONATRACH is the first company in Africa, it's the only Algerian oil and gas national company.
  • I built, using Python and Django Framework, a web application for fuel and/or maintenance demanding and managing for the service vehicle.
  • I used MySQL for the database layer and Xamp server
  • For the front-end I simply used HTML, CSS, javaScript and JQuery
Qualifications
Education
Higher School of Computer Science of Algiers
Sep 2016 - Sep 2021
Engineer (Software Engineering)
Higher School of Computer Science of Algiers
Sep 2020 - Sep 2021
MSc (Computer Science)
Courses
Machine Learning
Feb 2020 - Aug 2020
Higher School of Computer Science of Algiers
  • Deep learning
  • Numpy
  • Tensorflow
  • Python
  • Natural language processing
  • Jupyter
  • Artificial intelligence
  • Data visualization
  • Machine learning
  • PyTorch
  • Matplotlib
Web Development
Sep 2019 - Feb 2020
Higher School of Computer Science of Algiers
  • MySQL
  • JavaScript
  • Django
  • React
  • HTML
  • Python
  • Regex
  • SQLite
  • CSS Flex
  • CSS
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