Ming Fatt began his career as a Mathematics Educator, where he developed a an appreciation in the power of data. Motivated by this realisation, he delved into learning Python and Machine Learning through participating in the Data Science Immersive course at General Assembly.

Combining his passion for data with strong communication skills, Ming Fatt is highly skilled in  leveraging data-driven insights to drive effective solutions for business problems.

His key areas of specialisation include:

• Python

• SQL

• Tableau

• Data Cleaning

• Streamlit

• Machine Learning 

• Web Scraping 

• Natural Language Processing (NLP)