Making the internet a more Hebrew friendly place
AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
stylometry
April 23, 2025 – Present
A comparison of different strategies for affecting an LLM's output style, with attention given towards library science.
View ProjectBehirut
October 2, 2022 – February 17, 2024
A browser extension for making Hebrew text more legible
View Projecthebrew-flashcard-app
October 16, 2021 – March 22, 2023
A web app for generating flashcards using the hebrew-vocab-tools app
View Projecthavarotjs
July 24, 2020 – Present
A Typescript package for getting syllabic data about Hebrew text with niqqud.
View Projectgreek-transliteration
May 5, 2020 – February 12, 2023
a JavaScript package for transliterating Greek
View ProjecthieroglyphGenerator
October 27, 2018 – April 30, 2019
A web app to convert Gardiner sign codes to the equivalent hieroglyph in unicode
View ProjectCultural Fit Analysis
The candidate's projects show a strong inclination towards personal, niche linguistic tools and web applications. While this demonstrates initiative and passion, the direct alignment with a typical 'Data Scientist' role is moderate. The 'stylometry' project is the most relevant to the target role, indicating some interest in data science applications. The breadth of technologies used (TypeScript, JavaScript, Python, Svelte, Astro, Docker) suggests adaptability, but the focus is heavily on front-end and utility scripting rather than core data science methodologies.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's project descriptions indicate a self-starter attitude and a focus on niche linguistic tools, which could suggest independent work habits.