Description

I’m Hiba Al Taie, a Data Scientist with an MSc in Computer Science & Artificial Intelligence and an MBA from leading UK universities. I combine technical skills with business insight to deliver impactful, data-driven solutions.

My career spans throughout machine learning projects across construction, AI, and education sectors. I’ve successfully developed predictive frameworks using advanced techniques like Random Forest, CatBoost, and XGBoost, achieving high model performance on real-world and lab data. My research on concrete strength prediction has been recognized and selected for publication in Elsevier.

Beyond technical projects, I’ve designed and delivered data science courses and specialized ChatGPT courses, empowering learners and businesses to embrace AI technologies.

What I bring to the table:

✅ Expertise in Python, SQL, Tableau, Machine Learning & AI

✅ Strong communication, leadership & problem-solving skills

✅ Real-world experience across diverse industries (Construction, Tech, Retail, Education)

✅ A commitment to delivering data-driven, innovative, and practical solutions

🎯 My Goal:

To collaborate with companies and individuals who want to leverage the power of data science, AI, and automation to drive their business forward. I’m passionate about transforming ideas into actionable insights and helping my clients achieve measurable results.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Dubai City (up to 50km)

Exotica
Freelancer AI and Automation COnsultant
DIGITAL AND IT
January 2025 - Today (1 year and 5 months)
Dubai, United Arab Emirates
Collaborating with Exotica's leadership team to design and deploy an AI-powered customer service chatbot for their e-commerce platform.
Translating business requirements into functional chatbot flows using conversational AI tools, with a
focus on enhancing user experience and brand tone.
Implementing chatbot-human escalation strategies to ensure seamless customer support.
Testing, refining, and optimizing chatbot interactions based on user feedback and behavioral data.
Proposing and building automation solutions to streamline website processes and drive operational
efficiency.
Skilled in natural language processing (NLP), chatbot development, and applying machine learning
techniques to enhance conversational accuracy.
Communicating progress, roadblocks, and technical recommendations clearly to non-technical
stakeholders.
Machine Learning Data Cleaning and Preprocessing
AI IXX.
AI Expert
EDUCATION AND E-LEARNING
October 2024 - Today (1 year and 8 months)
Dubai - United Arab Emirates
Designed and delivered the course "Data Science: The Basics and Beyond" on the AI IXX platform, incorporating hands-on examples and real-world applications. Developing a 10-module course on leveraging ChatGPT for customer service automation and content generation. Guided learners through the entire data science lifecycle, from data acquisition and cleaning to predictive modeling and insights generation.
University of Birmingham
Researcher
January 2024 - Today (2 years and 5 months)
Dubai - United Arab Emirates
Co-authored the research paper "Enhancing Predictive Concrete Compressive Strength: An Ensemble Machine Learning Approach Across Laboratory and Field Data" to be published in Elsevier. Ensured model performance optimization by applying six advanced ensemble techniques, including RandomForest, CatBoost, and XGBoost. Developed a predictive framework integrating two diverse datasets from real-world and laboratory experiments. Managed iterative refinement across key machine learning stages—data cleaning, feature engineering, and model validation—consistently improving ensemble techniques. Achieved robust predictive performance with R² values exceeding 0.80 on two datasets.