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NCTU Graduate School
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Assessing your cultural and operational fit
NCTU
Data Scientist
June 26, 2026 – Present
Academia-Sinica
Data Scientist
June 26, 2026 – Present
NISER
October 30, 2020 – November 3, 2020
Using SR-GNN to implement "NISER: Normalized Item and Session Representations to Handle Popularity Bias"
View ProjectGCE-GNN
August 26, 2020 – September 14, 2020
The paper author has released the source code as following https://github.com/CCIIPLab/GCE-GNN
View ProjectTA-GNN
July 30, 2020 – August 31, 2020
Handcraft "Target Attentive Graph Neural Networks for Session-based Recommendation" based on SR-GNN
View ProjectGC-SAN
July 29, 2020 – July 1, 2021
An implementation trying to reproduce "Graph contextualized self-attention network for session-based recommendation" based on SR-GNN code.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily focused on academic research and personal projects, primarily in GNNs and recommendation systems. While this shows deep technical interest, the lack of diverse project types or team-based work in the provided data makes it difficult to assess broader cultural fit or adaptability to varied business contexts. The experience level is listed as 0, which contradicts the listed full-time Data Scientist roles, suggesting potential data inconsistency or a very early career stage despite the role titles. The projects are almost exclusively Python-based, which is good for a Data Scientist role, but shows limited breadth in other common data science tools or platforms.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. The psychometric test score is 0, indicating no completed assessment.