OptimusTrust

Dr. Souha Al Katat

Summary:

Passionate about transforming data into actionable insights, I bring over 20 years of experience in data analysis, system design, and academic research. With a PhD in Computer Science and hands-on experience in Business Intelligence, my goal is to empower learners and professionals through impactful training in BI tools, data storytelling, and analytics for decision-making.

Summary:

  • Dean’s Office Manager & Data Analyst, Lebanese University (2008–Present): Leading large-scale student and faculty data management across 6 branches. Responsibilities include data analysis, reporting, and system improvements.
  • Computer Science Instructor, Lebanese International University (2022–2024): Taught subjects including Database Systems, Server-Side Web Development, and Visual Programming.
  • IT Technical Support & Database Analyst, Saudi Marketing (2006–2009): Hands-on database administration, reporting, and system integration.
Dr. Souha Al Katat

Academic Credentials:

  • PhD in Computer Science, Sorbonne University, Paris (2022–2025)
  • Thesis: Enhancing Aspect-Based Sentiment Analysis with Knowledge Graph Integration and Transformer Models
  • Master in Business Computer, Lebanese University – Faculty of Economics and Business Administration (2016–2017)
  • Master Project Tittle: Analysis of Sustainable Development Indicators in Middle Eastern countries using data mining techniques

  • Bac+4 in Computer Engineering, CNAM Lebanon (2007)

Professional Qualifications:

    • CentreMINE – Training in Data Analysis for Business Decision-Making (2024): Focused on Excel analytics, Power BI fundamentals, and visualization.
    • CentreMINE – Employability in the Digital Economy (2024): Training on innovation, soft skills, and digital collaboration.
    • Erasmus+ Project Role (2022-2025): Quality referent and statistical trainer in a women empowerment initiative.
    Erasmus+ Lecturer, Università di Messina (2022): Delivered a guest lecture on Sentiment Analysis and its applications in Business Intelligence.
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