Sabaa Kiwan

Data Scientist

https://talent.gravityer.com/sabaa-kiwan

Member since June 26, 2026

Key Strengths

Demonstrated interest in machine learning and computer vision through personal projects like 'cabbage' and 'factoredGatedAutoencoder'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to C++ and CUDA, indicating a potential for performance-critical implementations in data science.

Cultural & Operational Fit

Cultural Fit Analysis

The candidate's projects are primarily personal and academic in nature, focusing on research implementations. While this shows initiative, there is limited evidence of collaborative work or diverse project types that would typically indicate strong cultural fit for a team-oriented role. The target role is 'Data Scientist', and the projects align with the technical aspects of this role, but the breadth of application and collaboration is not evident.

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no actionable insights.

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Projects

HomeAutomationApp

February 13, 2024 – February 13, 2024

HomeAutomationApp — GitHub repository

View Project

cabbage

November 2, 2017 – March 19, 2019

Unofficial Implementation of the paper: Multiple People Tracking by Lifted Multicut and Person Re-identification

View Project

factoredGatedAutoencoder

September 12, 2017 – September 20, 2017

Implementation of the factored Gated Autoencoder (https://www.iro.umontreal.ca/~memisevr/pubs/rae.pdf)

View Project

gpulab

September 10, 2017 – September 29, 2017

gpulab — GitHub repository

View Project

vaSheet03

June 6, 2017 – June 15, 2017

vaSheet03 — GitHub repository

View Project

MyFirstHub

July 26, 2015 – July 26, 2015

MyFirstHub

View Project

Key Strengths

Demonstrated interest in machine learning and computer vision through personal projects like 'cabbage' and 'factoredGatedAutoencoder'.
Experience with Python and Jupyter Notebook, which are core tools for Data Scientists.
Exposure to C++ and CUDA, indicating a potential for performance-critical implementations in data science.

Cultural & Operational Fit

Cultural Fit Analysis

Soft Skills & Operational Fit

Insufficient data to assess soft skills or operational fit. The psychometric test score is 0, providing no actionable insights.

Sabaa Kiwan

Key Strengths

Cultural & Operational Fit

Top Skills

Skills

Projects

Key Strengths

Cultural & Operational Fit