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CISPA Helmholtz Center for Information Security
Data Scientist
June 19, 2026 – Present
MASHQ
July 16, 2025 – July 17, 2025
The code implementation of our paper, titled: MASHQ: Differential Testing of JavaScript Runtimes
View ProjectSandDriller
June 12, 2023 – June 20, 2023
The Implimentation of our paper "SandDriller", available here: https://www.usenix.org/conference/usenixsecurity23/presentation/alhamdan
View ProjecttagTest
May 31, 2023 – November 2, 2023
Just a simple deno pkg to test the relationship between github tags and deno.land versions.
View ProjectDigital-Image-Forensics-tool
December 16, 2018 – December 16, 2018
A toolkit to check a set of images from forgeries and detect the forged arias
View ProjectVerrifying-XSS-vulnerabilities-
November 26, 2018 – November 26, 2018
Verrifying-XSS-vulnerabilities- — GitHub repository
View ProjectCryptographic-Implementration-of-Bitcoin-Addressing-Type1
November 26, 2018 – November 26, 2018
Cryptographic-Implementration-of-Bitcoin-Addressing-Type1 — GitHub repository
View ProjectAH4S
November 25, 2018 – November 26, 2018
Python implementation for my paper: AH4S: an algorithm of text in text steganography using the structure of omega network.
View ProjectCultural Fit Analysis
The candidate's project portfolio is heavily skewed towards academic research and security, which aligns partially with the analytical rigor required for a Data Scientist role. However, the lack of diverse industry-standard data science projects (e.g., machine learning model deployment, big data processing, A/B testing, business intelligence) suggests a potential gap in practical application and broader team collaboration scenarios typical in a corporate setting. The single current role as 'Data Scientist' at a research center aligns with their academic background but provides limited insight into cultural fit for a more product-oriented or business-driven data science team.
Soft Skills & Operational Fit
Insufficient data to assess soft skills or operational fit. The candidate's experience is primarily academic research, which may not directly translate to collaborative industry operational environments without further validation.