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Data science skills and development for the energy sector
The document discusses the development of data science skills essential for the energy sector, presented by Dr. Lau Cher Han, an expert in machine learning and data science. It highlights the roles and responsibilities of data engineers, analysts, and scientists, as well as key processes in data science, emphasizing a pathway towards Artificial Intelligence. The three key takeaways are to start transformation immediately, build a portfolio, and begin with small projects while aiming for scalability.
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Data science skills and development for the energy sector
- 1. DATA SCIENCE SKILLSAND DEVELOPMENT FOR THE ENERGY SECTOR B I G D ATA W E E K 2 0 1 8 Presented by: Dr. Lau Cher Han Chief Data Scientist
- 2. Trained data scientistsand engineers for Shell, Fusionex, Intel, HP, OCBC DR. LAU CHER HAN Ph.D. in Machine Learning Co-founder of iStream, LEAD and UCAN Technologies HRDF certified trainer and MQA Expert Panelist State advisor for SmartCity and BDA initiatives Microsoft Excel Expert World Champion Founding director of MaGIC Academy Bachelor of IT (Database) Master of IT (Research) Worked in Microsoft e- Research Centre
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- 5. There are notthat many data scientists in the country (yet).
- 6. Where are myopportunities?
- 7. • Loves databases •Able to handle large scale processing systems • Have a diversified interests of skill sets Data Engineer Engineers by Trade Data Analyst The Detective Statistician The Geek Data Scientist The Unicorn Data Science Role in Industry • Performs data analyses • Strong ‘figure-it-out’ mindset • Understand business operations well • Understand all of the above • Baby curiosity • Handle and manage data science project independently • Analyze quantitative and qualitative data • Strong with mathematical theories and statistical methods • Logical thinking mindset
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- 9. OBTAIN SCRUB EXPLOREMODEL INTERPRET Gather data from relevant data sources. Pre-process data to clean format that machine understands Find significant patterns and trends using statistical methods Construct and train models to predict and forecast Put the results into good use O S E M N Data Science Process
- 10. OBTAIN SCRUB EXPLOREMODEL INTERPRET Data Science Process Data Engineer Data Analyst Statistician Data Scientist
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- 15. #1 Start yourtransformation journey now.
- 16. #2 Build aportfolio
- 17. #3 Start small,Think Big, Scale fast
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