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Evaluating your skill match against the job requirementsβ¦
Assessing your cultural and operational fit
Random Fractals
Data Scientist
June 24, 2026 β Present
pro-data-tools
March 6, 2023 β July 14, 2024
Pro Data Tools π οΈ for VS Code IDE π§ββοΈ: DuckDB Pro Tools, PRQL Code Lens, new Markdown SQL Pro Tools, upcoming Data Notebooks π Pro Tools docs and demos, etc.
View Projectchicago-crimes
October 9, 2022 β January 29, 2023
Exploring Chicago crimes dataset with Jupyter notebooks, DuckDB, Malloy and new Panel/PyScript data and dashboard tools.
View Projectobservable-data-tools
August 3, 2022 β August 31, 2023
Repository of web and code editor friendly Observable Data Toools π οΈ and Notebooks π in .js, .nb.json, .ojs, .omd, .html and .qmd document formats for Data Previews in a browser and in VSCode IDE with Observable JS extension, Quarto extension, and new Quarto publishing tools.
View Projectvscode-gitops-tools
August 18, 2021 β June 27, 2024
GitOps Visual Studio Code Extension
View Projectvscode-data-table
May 11, 2021 β October 2, 2023
Data Table η³ , Flat Data Grid δΈ & Data Summary ζοΈ Renderers for VSCode Notebook π Cell β Data Outputs
View Projectgeo-data-viewer
January 1, 2020 β April 16, 2023
Geo Data Analytics tool for VSCode IDE with kepler.gl support to generate and view maps πΊοΈ without any Python π, IPyWidgets βοΈ, pandas πΌ, Jupyter notebooks π, or ReactJS βοΈ app code.
View Projectvscode-vega-viewer
December 17, 2018 β March 4, 2023
VSCode extension for Interactive Preview of Vega and Vega-Lite maps πΊοΈ and graphs π.
View Projectvscode-data-preview
December 12, 2018 β January 19, 2024
Data Preview η³ extension for importing π€ viewing π slicing πͺ dicing π² charting π & exporting π₯ large JSON array/config, YAML, Apache Arrow, Avro, Parquet & Excel data files
View ProjectCultural Fit Analysis
The candidate's portfolio is heavily skewed towards personal projects, primarily focusing on VSCode extensions and data visualization tools. While this demonstrates initiative and technical prowess, the lack of team-based or collaborative projects makes it difficult to assess cultural fit in a typical team environment. The projects align well with a data-centric role, but the breadth of application domains is somewhat narrow, focusing mostly on tooling rather than diverse data science problem-solving.
Soft Skills & Operational Fit
The candidate's project descriptions suggest a proactive and self-driven individual, evidenced by numerous personal projects focused on developer tooling and data visualization. However, without psychometric or English test results, it's difficult to assess communication clarity, work attitude, stress handling, or team collaboration skills.