Wee Boon Tan

7 years of data analytics experience, including 2 years of internship and 5 years of full term employment.

Performed machine learning and data analytics on manufacturing datasets to drive key insights and achieve production efficiency.

Applied mathematical and statistical modelling to solve business problems and provide data analysis, data visualisation, and jobs automation with the use of SQL, Tableau, Python, R Programming and GCP.

Graduated with MSc. in Industry 4.0 (Data Mining), BSc. with first class honours in Statistics

• Performed data analytics on manufacturing datasets to drive key insights, improve production efficiencies and productivity
• Applied machine learning techniques, such as random forest algorithm and hyperparameter optimization to generate predictions for production deployment to replace current technologies
• Conduct Tableau and Python trainings for in-house engineers
• Created over 50 different dashboards for upper management to make key insights on data and drive business decisions
• Demonstrate strong business knowledge in querying from data warehouses in MSSQL, Snowflake and GCP Bigquery

• MSc. in Industry 4.0 (Data Mining)
• BSc. in Statistics with first class honours