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AI is analyzing your overall score…
Identifying your key strengths…
Evaluating your skill match against the job requirements…
Assessing your cultural and operational fit
AppleBacklightSmoother
September 22, 2020 – February 18, 2022
A Lilu plugin that patches Apple Intel graphics drivers to get smooth backlight transition
View ProjectAsusSMC
September 21, 2018 – June 1, 2021
A VirtualSMC plugin provides native macOS support for ALS, keyboard backlight and Fn keys on Asus laptops
View Projectubuntu_canon_printer
April 21, 2018 – November 1, 2023
Script for installing the Linux CAPT Printer Driver for Canon LBP printers on Ubuntu (both 32-bit and 64-bit)
View ProjectAsus-Zenbook-Hackintosh
September 27, 2017 – March 12, 2023
Run macOS on Asus Zenbook with OpenCore
View ProjectHackintosh-Installer-University
November 5, 2016 – November 10, 2022
Open source tutorial & information collector for hackintosh installation.
View ProjectCultural Fit Analysis
The candidate's projects are heavily focused on personal, low-level system modifications and open-source contributions, particularly around macOS on non-Apple hardware. While this demonstrates technical depth and initiative, the project diversity is narrow and not directly aligned with a typical 'Data Scientist' role, which usually involves more statistical modeling, machine learning, and data manipulation. The 'medficientsam' project is the only one with direct relevance to data science, but its scope and the candidate's specific contribution are not detailed. This narrow focus and lack of explicit data science projects suggest a moderate cultural fit for a dedicated Data Scientist role without further validation.
Soft Skills & Operational Fit
The candidate's project history suggests a strong inclination towards independent problem-solving and reverse engineering. The focus on personal, low-level system projects indicates a detail-oriented and persistent individual. However, there is no direct data to assess collaboration, communication, or stress handling in a team environment.