• Ownership of SW/HW improvements in qualification tooling.
• Design and development of methodologies for collector qualification.

• Implement data visualisation toolbox in Julia to analyse customers’ machine information for product development, escalation resolution and performance metrics.
• Implement Graph Networks with ordered event log data for rapid diagnostics and population analysis.

• Developing remote equipment monitoring dashboards for global maintenance teams.
• Develop prototype predictive modeling application for early part failure prediction.

• Developing frontend and backend interfaces for business facing data science products.
• Enhancing existing time series prediction models.
• Provide solutions to serve data science products to business via AWS.

• Analysing Equipment Sensor Data via exploratory data analysis and application of statistical process control knowledge.
• Developed and deployed operational framework for rapid reduction in equipment response times.
• Modelling sensor data for component failure diagnostics and prediction.

Developed curriculum tailored to impart foundational knowledge of computational thinking and basic electronics knowledge to children between the ages of 11 to 14 years old.

Utilised low cost tools such as Scratch, Arduino for rapid product protyping.