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TarekDJAKER

PROFILE

Tarekdjaker

During November 2024, Djakertarek Akertarek developed an end-to-end data ingestion and preprocessing pipeline for Module 4 of the racousin/data_science_practice_2024 repository. He consolidated data from diverse sources, including CSV files, APIs, and web scraping, using Python, Pandas, and BeautifulSoup to automate extraction and transformation. The pipeline produced a clean, ready-to-model dataset and generated a formal submission artifact to streamline evaluation. By wiring a new submission.csv data source into the workflow, Djakertarek enabled reproducibility and traceability for model submissions. The work demonstrated solid data engineering depth, laying a robust foundation for subsequent machine learning and analysis tasks.

Overall Statistics

Feature vs Bugs

100%Features

Repository Contributions

2Total
Bugs
0
Commits
2
Features
1
Lines of code
3,248
Activity Months1

Work History

November 2024

2 Commits • 1 Features

Nov 1, 2024

November 2024 focused on delivering end-to-end data engineering for Module 4 of the data science practice project. Implemented a data ingestion and preprocessing pipeline that loads and consolidates data from multiple sources, prepares it for modeling, and generates a submission artifact to streamline evaluation.

Activity

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Quality Metrics

Correctness90.0%
Maintainability90.0%
Architecture90.0%
Performance80.0%
AI Usage20.0%

Skills & Technologies

Programming Languages

CSVPythonSQL

Technical Skills

API IntegrationBeautifulSoupData AnalysisData EngineeringMachine LearningPandasScikit-learnSeleniumWeb Scraping

Repositories Contributed To

1 repo

Overview of all repositories you've contributed to across your timeline

racousin/data_science_practice_2024

Nov 2024 Nov 2024
1 Month active

Languages Used

CSVPythonSQL

Technical Skills

API IntegrationBeautifulSoupData AnalysisData EngineeringMachine LearningPandas

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