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Aspiring data engineer with experience in building ETL data pipelines
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
retail-data-analytics
May 24, 2024 – May 24, 2024
retail-data-analytics — GitHub repository
View Projectcloud-pinterest-data-pipeline
May 2, 2023 – April 18, 2024
cloud-pinterest-data-pipeline — GitHub repository
View Projectpinterest-data-pipeline
March 6, 2023 – April 26, 2023
pinterest-data-pipeline — GitHub repository
View Projectmultinational-retail-data-centralisation
January 25, 2023 – January 11, 2024
multinational-retail-data-centralisation — GitHub repository
View Projectfacebook-marketplaces-recommendation-ranking-system
January 17, 2023 – January 17, 2023
facebook-marketplaces-recommendation-ranking-system — GitHub repository
View Projectdata-collection-pipeline
November 15, 2022 – January 14, 2023
data-collection-pipeline — GitHub repository
View Projectcomputer-vision-rock-paper-scissors
October 24, 2022 – November 15, 2022
computer-vision-rock-paper-scissors — GitHub repository
View ProjectCultural Fit Analysis
The candidate's personal projects show initiative and a self-driven learning approach, which can be a positive cultural fit. The projects are diverse within the data domain, including data pipelines, recommendation systems, and computer vision, indicating a broad interest. However, the lack of team-based projects or professional experience makes it difficult to fully assess cultural fit.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. Psychometric test scores are 0, providing no insight.