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Writer, generalist, maker of things
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
DimwitLabs
Data Scientist
June 21, 2026 – Present
Prosaic
February 19, 2026 – Present
A writer-first terminal writing app built with Python and Textual
View ProjectClosereadShinyBoilerplate
November 26, 2025 – November 26, 2025
A small demo to showcase how Closeread Quarto + Shiny can work together.
View Projectode
November 21, 2025 – Present
A minimal, open-source, writing platform for writers who care about the craft
View Projectshinychat-reset-demo
September 26, 2025 – September 26, 2025
A simple demo to showcase adding a "nicer" reset button to shinychat using JS
View ProjectShinyConf2025_PlumberWorkshop
April 8, 2025 – April 10, 2025
Repository with code using during the ShinyConf2025 workshop titled DIY: Unclog Your Scripts with Plumber in R
View Projectlinux-activity-template
October 28, 2024 – January 29, 2025
template for doing linux activity via codespaces
View ProjectRPharma_Rhino_Workshop
October 27, 2024 – October 28, 2024
Simple repository for a Rhino application showcasing validation readiness
View ProjectLogAnalyzer
February 21, 2024 – Present
A LogAnalyzer app for checking logs in Posit Connect
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong inclination towards open-source contributions and personal development, which can be a positive cultural fit. However, the projects are heavily skewed towards R and front-end development, with less explicit demonstration of core data science methodologies (e.g., advanced machine learning, statistical modeling, big data processing) that are typically expected for a senior Data Scientist role. The current experience level is 0, which contradicts the current role as 'Data Scientist' and suggests a potential mismatch in expectations or a very recent entry into the field. The diversity of projects is good, but their depth in core data science is not clearly articulated.
Soft Skills & Operational Fit
Insufficient data to assess soft skills and operational fit. Psychometric test scores are 0, providing no actionable insights.