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Data Engineer . Learning, innovating and plumbing
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
apache_airflow_tutorial
October 7, 2025 – November 6, 2025
apache_airflow_tutorial — GitHub repository
View ProjectResolve_data_engineer_challenge
July 1, 2022 – July 1, 2022
Resolve_data_engineer_challenge — GitHub repository
View Projectrock-paper-scissor-kagle-comp
December 18, 2020 – December 19, 2020
rock-paper-scissor-kagle-comp — GitHub repository
View ProjectD2F
October 20, 2020 – December 9, 2020
A project to explore the use of transfer learning in GANs to produce photo realistic images of human faces from its description
View ProjectmobileNetClassifier-ionic-app
March 29, 2020 – January 7, 2023
This is an ionic app which uses tensorflow.js and pretrained mobilenet neural network to classify objects live
View ProjectCultural Fit Analysis
The candidate's project portfolio shows a strong inclination towards personal learning and exploration, particularly in Python, machine learning, and data engineering. While there is one project with frontend technologies (mobileNetClassifier-ionic-app), the majority of projects are not directly aligned with a dedicated Frontend Developer role. This suggests a broad technical interest, which could be a strength for cross-functional teams but might require focus for a specialized frontend position. The diversity of projects indicates a proactive learning attitude.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.