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NUS
Data Scientist
June 27, 2026 – Present
krashless
March 6, 2026 – Present
An agentic dashboard which makes intersections safer by reimagining proposed modification live. 2nd Place Winner ($30k) at Gemini 3 Hackathon Singapore
View Projectmwh-minimart-system
January 13, 2025 – February 19, 2025
mwh-minimart-system — GitHub repository
View ProjectCultural Fit Analysis
The candidate has a diverse set of personal projects, including web development (TypeScript, JavaScript, CSS, HTML) and some data-related work (Python, Jupyter Notebook). The 'krashless' project, a hackathon winner, indicates innovation and a drive for impactful solutions. The current role as 'Data Scientist' at NUS aligns with the target role, suggesting a clear career path. However, the lack of detailed descriptions for projects makes it challenging to fully assess the depth of engagement and collaboration.
Soft Skills & Operational Fit
The candidate's project descriptions are brief, making it difficult to assess communication clarity or depth of understanding. Participation in a hackathon suggests teamwork and initiative, but specific operational fit details are insufficient.