Yassine Jeddi
Data Scientist
Casablanca, Casablanca-Settat, Morocco
Summary
🤩
Rockstar🎓
Top SchoolYassine Jeddi is a data scientist with seven years of hands-on experience building ML and data pipelines, currently driving data quality, NLP and product-focused analytics at KONTA from Casablanca. Trained at Ecole Centrale Casablanca with academic exchange at Centrale Lille, he blends strong engineering rigor with practical deployment experience — from cloud-based deep learning tools on AWS to Dockerized CV models for SNCF Réseau. His background spans applied projects in transportation, ports, aviation and commercial forecasting, and he has full-stack contributions to an open-source Twitter scraper that showcase both backend scraping logic and notebook-based UI presentation. Detail-oriented and proactive, he routinely documents APIs and mentors teammates, turning research-grade methods into production-ready components.
7 years of coding experience
1 year of employment as a software developer
Mobilité académique internationale., Traitement de données, 2nd year, Mobilité académique internationale., Traitement de données, 2nd year at Centrale LilleDEUST, Math Informatique Physique, DEUST, Math Informatique Physique at Faculté des sciences et techniques de MohammediaIngénieur généraliste, Option science des données et digitalisation, Ingénieur généraliste, Option science des données et digitalisation at Ecole Centrale Casablanca
Stackoverflow
1reputation
0reached
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Github Skills (8)
selenium-webdriver10
csv10
twitter10
selenium-ide10
selenium10
python10
webscraping10
jupyter-notebook9
Programming languages (2)
Github contributions (5)
Altimis/Scweet
Dec 2020 - Oct 2022
Scrape tweets, profiles, followers and following from Twitter/X, no API key needed. Python library with smart multi-account pooling, proxy support and async.
Role in this project:
Full-stack Developer
Full-stack DeveloperContributions:9 releases, 176 commits, 16 PRs in 1 year 10 months
Contributions summary:Yassine's commits primarily involve the development of a Twitter scraper application. The code changes include the creation of a scraping script, and modifications to save scraped data as a CSV file. Furthermore, the user is involved in UI implementation by adapting the notebook to display tweets. The commits show that the user worked on both backend scraping logic and the display/organization of data in the Jupyter Notebook.
asyncproxypythonscrapetwitter
Altimis/Altimis
Nov 2020 - Apr 2026
Contributions:18 pushes, 1 branch in 5 years 5 months
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