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Yale
Data Scientist
June 27, 2026 – Present
ai-survey-data-extraction
March 3, 2025 – May 1, 2025
ai-survey-data-extraction — GitHub repository
View ProjectEBTSEGR
October 5, 2023 – October 5, 2023
Official Code Repository for ICML2022 paper "On the Equivalence Between Temporal and Static Equivariant Graph Representations"
View Projectepfl-qrm
September 27, 2022 – October 16, 2022
EPFL Quantitative Risk Management Assignments
View Projectrails-academy---rails-homework-ivanvrkic
July 16, 2021 – September 3, 2021
rails-academy---rails-homework-ivanvrkic created by GitHub Classroom
View Projectrails-academy---ruby-homework-ivanvrkic
July 15, 2021 – July 21, 2021
rails-academy---ruby-homework-ivanvrkic created by GitHub Classroom
View ProjectCultural Fit Analysis
The candidate's projects show a diverse range of technologies (Python, C++, Ruby, Swift, HTML, CSS, JavaScript), indicating a broad interest in different areas of software development. However, the depth of experience in each is not clear. The 'experienceLevel' is 0, and the listed 'Data Scientist' role at Yale starting in 2026 with 'isCurrent: true' and no end date is inconsistent and suggests a future or placeholder entry, making it difficult to assess current professional alignment. The personal projects, while varied, do not consistently demonstrate deep, senior-level data science expertise. The lack of detailed descriptions for most projects also limits the assessment of their direct relevance and impact in a data science context.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test score is 0, providing no insights.