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Amazon Web services
Data Scientist
June 21, 2026 – Present
travel-agent-strands-sdk
May 27, 2026 – Present
travel-agent-strands-sdk — GitHub repository
View ProjectKaggle_exercise_Stack-Overflow-Case-Study
July 31, 2021 – July 31, 2021
Curating a list of Kaggle Dataset Exercises
View ProjectTensorRepo
March 10, 2019 – March 10, 2019
Tensorflow in Python for Log Data Intelligence deliverables and sentiment mining
View ProjectGroovy_AssertionChecking
September 25, 2018 – March 10, 2019
To read and extract assertions and the required regex from csv files in jmeter JSR223 script using groovy convention and configuring results as required
View ProjectPanthera-Tigris-Movement-in-R--ARCGIS
July 26, 2018 – March 10, 2019
Panthera-Tigris-Movement-in-R--ARCGIS — GitHub repository
View ProjectSplunk-Machine-Fabric-Data-Intelligenge
July 26, 2018 – March 10, 2019
Splunk-Machine-Fabric-Data-Intelligenge — GitHub repository
View ProjectHybrid-Test-Framework-Project
July 26, 2018 – July 26, 2018
Hybrid-Test-Framework-Project — GitHub repository
View ProjectCultural Fit Analysis
The candidate's projects show a diverse interest in data science, including ecological data analysis (Panthera-Tigris), general data intelligence, and Kaggle exercises. The current role at Amazon Web Services as a Data Scientist aligns well with the target role. However, the 'experienceLevel' is 0, which contradicts the current employment, suggesting a potential data discrepancy or very recent entry into the role. The breadth of skills is moderate, primarily focusing on R and Python for data science tasks.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. No psychometric test results or interview feedback provided.