Scientist
D
Total des années d'expérience :19 years, 7 Mois
Conduct research on the usage of machine learning to detect political bias in text providing analysts with
greater insight on the content under analysis and optimizing their analysis approach
· Deployed MLFLOW and Apache Airflow to pipeline and orchestrate the data science workflow utilizing
Docker for containerizing machine-learning models as part of an ongoing POC
· Implemented a solution for topic detection and tracking to detect first stories and cluster incoming news
stories in real-time and with high performance using the BERT language model and cosine similarity
· Developed a model to analyze the spread of news stories using an epidemiological (SIR) model, natural
language processing, and latent networks to provide analysts with an understanding on the dynamics of
news spread in order to make predictions and detect anomalies
Mentor Master: supervised mentors by managing and supporting their contribution to students of
impoverished families
· Volunteer: mentored and tutored female students of impoverished families with the objective of improving
self-confidence, ambition, and academic performance
· Delivered an introductory module on the HPC technology and environment in ECC
Saudi Aramco Entrepreneurship Center (Wa'ed) | Dhahran, Saudi Arabia
· Participated in the design of the first supercomputer deployed at the EXPEC Computer Center (ECC) and
its infrastructure meeting company objectives in terms of computational power, and cost-effectiveness
· Led the design and implementation of various methods hardening the security of the HPC environment at
ECC while ensuring optimal performance of systems
· Designed and implemented a Splunk-based solution introducing big data analytics for the first time in ECC
with the objective of improving root cause analysis, achieving operational intelligence, and gaining insight
on the performance of job scheduling
· Developed automation tools to centralize the administration of all of the data center's monitors saving the
company the cost of purchasing an off the shelf solution
· Redeveloped a novel HPC KPI data collection system to achieve accuracy, efficiency, and resiliency
Technical Certifications and Programming Skills
· Certifications: Deep Learning Specialization offered by deeplearning.ai on Coursera, Red Hat Computer
System Administrator (RHCSA), ITIL V3 Foundation
· Programming languages: Python, R, JavaScirpt, D3, Flask, HTML, CSS, SQL
Publications
· Al Tabash, K., Happa, J. (2018). “Insider-Threat Detection using Gaussian Mixture Models and Sensitivity
Profiles”. Computers & Security Journal.
· Al Tabash, K., Barradah, A., Al-Shaikh, R. (2014) “Empirical Utilization Analysis for High Performance and
Grid Computing.” In UKSim-AMSS 16th International Conference on Modelling and Simulation (IEEE), 26-28
Focus: machine learning, Thesis: Insider Threat: Visualization and Statistical Analysis
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