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Oussama R - Nodejs developerLD Talent logo

Oussama R

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
$25.00 /hr $ 40.0K /yr Hourly Rate and Yearly Salary
Overview Experiences LD Experiences Qualifications Reviews Vetting
Overview
Basic Summary
LD Talent History
  • Worksession Approval 100.0%
  • Average Response Time 0.2 hours
  • Average Count of Messages/Day 0.9
  • Project Completion Rate 2/4
  • Interview Acceptance Rate 4/6
  • Timezone Overlap 23h PST, 39h UTC
  • Earned Hours 9.50
Vetting Summary
  • No. of Onboarding MCQs Completed 6
  • More details
Interview Scores (3.3/5)
  • Software Engineering Process 4.0/5
  • 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
  • English Communication 4.0/5
  • Documentation 3.0/5
Talent's Devices
  • Desktop Windows
  • Phone Android
General
  • Member Since Nov 02, 2021
  • Profile Last Updated Jan 21, 2025
  • Last Activity Jan. 21, 2025, 12:29 p.m. UTC
  • Location Algeria
Profile Summary
I’m a passionate Full-Stack Developer and Data Scientist with a Master’s degree in Bioinformatics and a strong background in Data manipulation and Artificial Intelligence. I’ve worked on everything from building sleek, user-friendly web applications with React and Node.js to creating custom Shopify apps that elevate e-commerce experiences. I am confident that my experience and expertise, combined with my fresh perspective and energy, can bring great value to your project.
Skills
Total Experience: 5+ years
  • Nodejs (5E, 5Y)

    5 experiences, across 5 years
  • React (4E, 5Y)

    4 experiences, across 5 years
  • ExpressJS (2E, 5Y)

    2 experiences, across 5 years
  • Shopify (2E, 4Y)

    2 experiences, across 4 years
  • SQLite (4Y)

    4 years of experience
  • AWS S3 (4Y)

    4 years of experience
  • MongoDB (2E, 3Y)

    2 experiences, across 3 years
  • Shopify Admin Api (3Y)

    3 years of experience
  • Python (4E, 3Y)

    4 experiences, across 3 years
  • Machine learning (2E, 2Y)

    2 experiences, across 2 years
  • Matplotlib (2E, 2Y)

    2 experiences, across 2 years
  • Pandas (2E, 2Y)

    2 experiences, across 2 years
  • Elm

  • Prisma

  • Haskell

  • Docker

  • Natural language processing

  • Data visualization

  • scikit-learn

  • AWS Elasticsearch

  • Material Design

  • ChartJS

  • Google API

  • iOT

  • Eclipse

  • Java

  • C (6Y)

    6 years of experience
  • Plotly

  • Numpy

  • Open AI

Weekly Availability
Timezone Overlap with 06 - 21 per Week: 23h PST, 39h UTC
Day
Sunday
Monday
Tuesday
Wednesday
Thursday
Friday
Saturday
UTC
09 - 16
09 - 16
09 - 16
09 - 16
09 - 16
19 - 23
19 - 23
PST
02 - 09
02 - 09
02 - 09
02 - 09
02 - 09
12 - 16
12 - 16
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
Full Stack Developer
Contract
Nov 2022 - Present
Digital downloads Company
Ecommerce Industry
Project: Shopify application
  • SQLite
  • React
  • AWS S3
  • Shopify
  • ExpressJS
  • Nodejs
  • Designed and implemented data storage and retrieval systems for Shopify apps using AWS S3, ensuring reliable and scalable data access for users
  • Developping Shopify apps using Nodejs, providing seamless integration with Shopify's API and backend systems.
  • Utilized React to build dynamic, user interfaces for Shopify apps, improving user engagement and conversion rates
  • Integrated third-party APIs into Shopify apps using Expressjs.
  • Implemented SQLite database solutions for enhanced data management and storage for app users.
Software Engineer
Contract
Jun 2023 - Present
Confidential Company
Ecommerce Industry
Project: Shopify App development
  • Shopify Admin Api
  • React
  • Shopify
  • MongoDB
  • Nodejs
  • Integrating React and Polaris to create visually appealing and responsive front-end components for the Shopify apps
  • Employed Nodejs to build an efficient backend, allowing communication with the Shopify Admin Api for real-time data synchronization
  • Utilizing MongoDB as the database backend for storing user and app-related information.
Bionformatics engineer
Internship
Feb 2024 - Jul 2024
BioComputing UP - University of Padua, Italy Company
Biotechnology Industry
Project: Integrating Data Stewardship Wizard with DisProt: Enhancing Bio-Curation for Intrinsic Disorder Predictions
  • Docker
  • Haskell
  • React
  • Prisma
  • Elm
  • MongoDB
  • Nodejs
  • Used Elm and Haskell to explore and understand the architecture and functionality of the Data Stewardship Wizard (DSW), gaining insights into its dynamic questionnaire and validation systems
  • Designed and implemented dynamic user interface to create custom keyword validation behavior to be used as validation api in the DSW Validator using React
  • Utilized Nodejs and ExpressJS to develop a robust validation service under AJV and VM2, ensuring efficient handling of HTTP requests between application components
  • Streamlined database queries with Prisma, providing type-safe and efficient interactions with MongoDB
  • Containerized the application infrastructure using Docker, ensuring scalable and consistent deployment across environments
Data Analyst
Contract
May 2023 - Jun 2023
Confidential Company
Finance Industry
Project: Online Business Marketplace Analytics
  • Matplotlib
  • Pandas
  • Python
  • Numpy
  • Plotly
  • Performed data cleaning and integration by consolidating information from various data sources, using Python, Pandas, Numpy.
  • Conducted feature engineering to generate relevant attributes, enhancing the dataset for further analysis and Implemented effective strategies to handle missing values, ensuring data completeness.
  • Merged all cleaned data into a unified dataset, facilitating streamlined analysis and decision-making.
  • Developed a user-friendly dashboard using Streamlit, showcasing meaningful data interpretations for end-users, with Streamlit, Matplotlib, Plotly.
  • Incorporated interactive elements in the dashboard, allowing users to filter data based on important features and metrics, and regular predictions.
Developer
Passion Project
Apr 2022 - Jul 2022
University of Science and Technology Houari Boumediene Company
Research Industry
Project: Edge system protocol simulation
  • iOT
  • Nodejs
  • Used W3C Web of Things (IOT) implementation on NodeJS livrary which is node-wot.
  • Simulated and edge service by creating a thing on node wot with condictions while interacting with clients.
  • Simulated third parties interacting with the edge service by creating a client that interacts.
Data Scientist
Internship
Mar 2021 - Jul 2021
Right Innov Company
Technology Industry
Project: Social Intelligence
  • ChartJS
  • React
  • Google API
  • AWS Elasticsearch
  • Material Design
  • ExpressJS
  • Nodejs
  • Implemented a survey that recommends to the brand using the platform what social media they should be present based on facebook's digital marketing course.
  • Created dashboards for the users' channel and its competitors' channel using React js (Material UI and Chartjs).
  • Communicated with Youtube APIs to extract channels, and video data using Nodejs, and used ExpressJs to manage server side.
  • Stored the large amount of data provided from Google API (YouTube) using AWS Elasticsearch.
  • Integrated extract feature on dashboards tables for data analysis/prediction purposes using Material Design (Material UI).
Data Scientist
Internship
Mar 2021 - Jul 2021
Right Innov Company
Technology Industry
Project: YouTube Video Likes Prediction using Machine Learning
  • Matplotlib
  • Data visualization
  • Pandas
  • Python
  • scikit-learn
  • Machine learning
  • Added relevant characteristics derived/elaborated from the basic attributes of the dataset using pandas and plotted the distributions with the Data Visualization library, Matplotlib.
  • Utilized Scikit-Learn, a Python library, to train both Linear Regression and Random Forest Machine Learning models. Applied strategy to deal with missing values in the dataset.
  • Used normalization and standardization to both models to study in-depth attributes that are highly correlated to our target attribute.
Student
Passion Project
Dec 2020 - Feb 2021
University of Science and Technology Houari Boumediene Company
Research Industry
Project: Compiler
  • C
  • Established the Lexical analysis using Flex using C and built a table of symbols.
  • Used Bison for the syntactic and semantical analysis part of the compiler and implemented error messages.
Scientific Club Member
Passion Project
Mar 2020 - Jul 2020
School of AI Algiers Company
Education Industry
Project: MCQ generator
  • Python
  • Natural language processing
  • Machine learning
  • Worked on the keywords extraction from text using NLTK, a Python Library, and Natural Language Processing methods.
  • Applied keyword extraction Machine Learning algorithms on English, French, and Arabic text.
Student
Contract
Apr 2020 - Jun 2020
University of Science and Technology Houari Boumediene Company
Healthcare Industry
Project: Medical Office Management Software
  • Eclipse
  • Java
  • Worked on setting the billing system for the admin part using Java on Eclipse.
  • Set up the stock and restocking management system of the medicines.
LD Experience
Client Projects
Developer
Contract
Oct 2023 - Nov 2023
LD Talent Client's Company/Project
  • Python
  • Open AI
  • Automating comment detection scripts for any codebase using Python.
  • Creating a script that goes through the comments and corrects the grammatical and syntactical errors in the code comments using an Open AI model.
Video Projects
How to implement django-tenant-schemas with a fixed URL
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Nodejs
  • React
  • ExpressJS
  • Shopify
  • SQLite
  • AWS S3
  • MongoDB
  • Led user research for a new construction site documentation tool.
  • Hosted workshops to synthesize user insights into design requirements.
  • Designed 3D concepts and built prototypes to investigate new tool form factors.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
LD Ventures
Thea
Sep 2020 - Jan 2022
Frontend Developer
Technology
  • Nodejs
  • React
  • ExpressJS
  • Shopify
  • SQLite
  • AWS S3
  • MongoDB
  • I used the Django Rest Framework to create a multi tenant API with the aid of the django-tenant-schemas package.
  • I used the Postgres Database as the persistence layer and specifically the PostgreSQL Schemas to ensure that all tenants using the API had their data.
  • I used the REST architecture in designing my API.
  • Researched existing digital solutions and prioritized key features for app release.
Website Links
  • https://blog.learningdollars.com/2020/08/02/how-to-implement-django-tenant-schemas-with-a-fixed-url/
  • https://agile-headland-01373.herokuapp.com/
Github Links
  • https://github.com/MainaKamau92/rickandmortycharacters
  • https://github.com/learningdollars/mainak-django-tenant-schemas
Qualifications
Education
University of Science and Technology Houari Boumediene
Sep 2018 - Jul 2021
Bachelor (Academic Computer Science)
University of Science and Technology Houari Boumediene
Sep 2022 - Jul 2024
Master (Bioinformatics)
Reviews
Interview Reviews
Sage
Gobi waited 15 minutes for him to speak on call but he had non stop technical issues on both zoom and hangouts, and didn't show his video or say a single word, he needs to work on his internet and work station setup. Then afterwards he did show up on a call and gave some sensible remarks regarding using sentiment analysis and deep learning for our use case. But his internet once again failed so we just sent him some 6 points to comment on in slack and let's see how he does on it.
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