Azhar bin Ab Halim
Azhar bin Ab Halim
Data Scientist | AI, Machine Learning & Data Analytics Trainer
Azhar bin Ab Halim is a Data Scientist and AI, Machine Learning & Data Analytics Trainer with over six years of professional experience across the energy, financial services, and information technology sectors. He specialises in developing machine learning models, predictive analytics solutions, cloud-based applications, and data-driven automation that help organisations improve operational performance and business decision-making.
Throughout his career, Azhar has worked with leading organisations including Ørsted, Axiata Digital Capital (Boost Credit), and The Center of Applied Data Science (CADS), where he designed predictive models, engineered cloud-based analytics solutions, automated workflows, and developed AI-powered applications.
Combining strong technical expertise with practical industry experience, Azhar delivers hands-on training that helps professionals understand complex AI and data science concepts through real-world applications. His learner-focused approach equips participants with practical skills they can immediately apply to solve business challenges and support digital transformation initiatives.
Core Expertise
1) Professional Certifications
- Professional Technologist (P.Tech.) in Information Technology – Malaysia Board of Technologists (2024)
- Executive Data Science Specialization – Johns Hopkins University via Coursera (2022)
- Elite@UM Appointment – Universiti Malaya (2022)
- HRD Corp Train-the-Trainer (TTT) Certified Trainer (2020)
- Graduate Technologist in Information Technology – Malaysia Board of Technologists (2020)
- Big Data Analytics 101 – The Center of Applied Data Science (2020)
- Data Star as Junior Data Scientist – The Center of Applied Data Science (2019)
2) Areas of Expertise
- Artificial Intelligence (AI)
- Machine Learning
- Data Science
- Predictive Analytics
- Big Data Analytics
- Python Programming
- Data Engineering
- ETL (Extract, Transform & Load)
- REST API Development
- Database Design
- Cloud Computing
- AWS Technologies
- Power BI
- Tableau
- Business Intelligence
- Data Visualisation
Qualifications
Academic Qualification
Bachelor of Science (Hons.) in Physics
Universiti Kebangsaan Malaysia (UKM) (2019)
Graduated with Distinction, recipient of the Book Award and MyBrain Science Scholarship. Co-authored research publications with the Solar Energy Research Institute (SERI) and presented research in computational physics.
Professional Background
2023 – Present
Data Scientist – Ørsted
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Develops machine learning models, cloud-hosted engineering applications, predictive analytics solutions, and database architectures to improve operational efficiency and optimise engineering performance within the renewable energy sector.
2022 – 2023
Associate Data Scientist – Axiata Digital Capital (Boost Credit)
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Designed financial risk prediction models using machine learning to improve loan segmentation, repayment forecasting, and credit risk analysis for digital financial services.
2020 – 2023
Data Scientist Specialist – The Center of Applied Data Science (CADS)
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Delivered data science solutions, analytics projects, and AI applications while supporting organisations in adopting data-driven decision-making and advanced analytics methodologies.
2021 – 2024
Instructor & Teaching Assistant – Genius@Pintar National Gifted Centre, UKM
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Conducted teaching and learning activities, mentoring students in science, technology, and analytical thinking while supporting educational programmes for gifted learners.
Training Philosophy
Turning Data into Practical Business Intelligence
Azhar believes that data science and artificial intelligence should solve real business challenges rather than remain theoretical concepts. His training combines practical demonstrations, real industry case studies, and hands-on exercises to help learners confidently apply AI, machine learning, and analytics techniques in their organisations.
By simplifying complex technical concepts into structured learning experiences, Azhar equips participants with the knowledge and practical skills needed to make better decisions, improve operational efficiency, and support digital transformation through data-driven innovation.
Skills
- Data Science
- Machine Learning
- Artificial Intelligence
- Python Programming
- Predictive Analytics
- Big Data Analytics
- ETL
- REST API Development
- Database Design
- SQL
- PostgreSQL
- MySQL
- Microsoft SQL Server
- AWS
- Docker
- Power BI
- Tableau
- GitHub
- Azure DevOps
- Cloud Computing
- Business Intelligence
- Corporate Training
