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ld-embedding-benchmark
January 29, 2026 – Present
Japanese grammar dataset for testing embedding-based semantic search
View ProjectParallelRSpecAction
October 30, 2020 – November 3, 2020
Github actions for Parallel Testing with RSpec
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, primarily focused on Ruby development, with some recent exposure to TypeScript/JavaScript and Jupyter Notebook. While the project 'ld-embedding-benchmark' touches upon semantic search and Japanese grammar datasets, aligning somewhat with a Data Scientist role, the overall project portfolio is heavily skewed towards web development and utility scripting rather than core data science, machine learning, or statistical analysis. This indicates a potential mismatch with a dedicated Data Scientist role, though the initiative shown in personal projects is positive.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no insights.