Green leaf

Oussama Ziad R - Python developer
Member since:Nov 02, 2021
Profile last updated:Sep 24, 2022
Last activity:Sept. 24, 2022, 7:03 p.m. UTC

Oussama Ziad R

I am a computer science graduate, a motivated and diligent person that loves challenges and constant learning. I have data science, machine learning, and web development skills. I am willing to dedicate time and effort to any project that comes by.

Skills:    ·   ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    ·    · 
Weekly Availability: 43 hours
Sun 09 - 16 02 - 09
Mon 09 - 16 02 - 09
Tues 09 - 16 02 - 09
Wed 09 - 16 02 - 09
Thurs 09 - 16 02 - 09
Fri 19 - 23 12 - 16
Sat 19 - 23 12 - 16

Hourly Rate: $17.00
Experience: 1+ yrs
Python: 1 yrs
Machine learning: 1 yrs
Engineer's Devices:

LD Talent Work History

Average response time:
12.0 hours
Avg count of messages / Day:


Right Innov     Social Intelligence     Data Scientist     Internship
Mar 2021 - Jul 2021

  • 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).

Skills used: Nodejs, ExpressJS, React, Material Design, ChartJS, AWS Elasticsearch, Google API

Right Innov     YouTube Video Likes Prediction using Machine Learning     Data Scientist     Internship
Mar 2021 - Jul 2021

  • 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.

Skills used: Machine learning, Pandas, scikit-learn, Python, Matplotlib, Data visualization

University of Science and Technology Houari Boumediene     Compiler     Student     Passion Project
Dec 2020 - Feb 2021

  • 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.

Skills used: C

School of AI Algiers     MCQ generator     Scientific Club Member     Passion Project
Mar 2020 - Jul 2020

  • 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.

Skills used: Natural language processing, Machine learning, Python

University of Science and Technology Houari Boumediene     Medical Office Management Software     Student     Contract
Apr 2020 - Jun 2020

  • 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.

Skills used: Eclipse, Java


University of Science and Technology Houari Boumediene    Bachelor  (Academic Computer Science)
Sep 2018 - Jul 2021

Client Reviews

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.