Experience

MiyaHealth

• Singapore
• Health, Wellness & Fitness
• 1 - 100 Employee

• Data Scientist

  • Apr 2020 - Present

  Devise algorithms to detect fraud, waste and abuse in insurance claims Devise algorithms to detect fraud, waste and abuse in insurance claims



Jabil

• United States
• Appliances, Electrical, and Electronics Manufacturing
• 700 & Above Employee

• Data Scientist

  • May 2015 - Dec 2018

  Lead Digital Factory Data Science Innovation, implementing end-to-end real time embedded predictive and deep learning models to manufacturing processes to improve defect detection and reduce false alarm rate. As a result, decreased manual inspection time and improved overall production efficiency. Created machine learning model in python based on past production solder paste data and pass/fail records to identify whether the pcb board was defective before being determined at inspection… Show more Lead Digital Factory Data Science Innovation, implementing end-to-end real time embedded predictive and deep learning models to manufacturing processes to improve defect detection and reduce false alarm rate. As a result, decreased manual inspection time and improved overall production efficiency. Created machine learning model in python based on past production solder paste data and pass/fail records to identify whether the pcb board was defective before being determined at inspection step. Percentage of true defects identified increased and false alarm rate decreased. Hence manual inspection time decreased and overall production efficiency increased. Created machine learning model in python based on past X-ray measurements and pass/fail records to identify whether the pcb board was defective before being determined at inspection step. Wrote deep convolution neural networks in Keras to assist human operator in identifying whether the PCB board was defective based on its X-ray image. Explored using time series analysis to forecast consumer demand for products of our corporate clients to aid production scheduling. Show less Lead Digital Factory Data Science Innovation, implementing end-to-end real time embedded predictive and deep learning models to manufacturing processes to improve defect detection and reduce false alarm rate. As a result, decreased manual inspection time and improved overall production efficiency. Created machine learning model in python based on past production solder paste data and pass/fail records to identify whether the pcb board was defective before being determined at inspection… Show more Lead Digital Factory Data Science Innovation, implementing end-to-end real time embedded predictive and deep learning models to manufacturing processes to improve defect detection and reduce false alarm rate. As a result, decreased manual inspection time and improved overall production efficiency. Created machine learning model in python based on past production solder paste data and pass/fail records to identify whether the pcb board was defective before being determined at inspection step. Percentage of true defects identified increased and false alarm rate decreased. Hence manual inspection time decreased and overall production efficiency increased. Created machine learning model in python based on past X-ray measurements and pass/fail records to identify whether the pcb board was defective before being determined at inspection step. Wrote deep convolution neural networks in Keras to assist human operator in identifying whether the PCB board was defective based on its X-ray image. Explored using time series analysis to forecast consumer demand for products of our corporate clients to aid production scheduling. Show less



Revolution Analytics Singapore Pte Ltd

• Singapore

• Data Scientist

  • Aug 2014 - Apr 2015

  Implemented data science projects in R for clients as proof of concepts to demonstrate the strengths of Revolution Analytics software. Performed a K-Means clustering program on customer segmentation analysis for TM Berhad. Implemented time series forecasting methods to forecast the demand of Asian Paints products. Participated in the Intel Internet of Things project where - Machine learning was combined with computer vision techniques to identify defective electronic… Show more Implemented data science projects in R for clients as proof of concepts to demonstrate the strengths of Revolution Analytics software. Performed a K-Means clustering program on customer segmentation analysis for TM Berhad. Implemented time series forecasting methods to forecast the demand of Asian Paints products. Participated in the Intel Internet of Things project where - Machine learning was combined with computer vision techniques to identify defective electronic boards - Time series forecasting was applied to sensor data to predict time to failure of equipment to aid predictive maintenance URL: http://www.wsj.com/articles/intel-steps-up-its-push-into-internet-of-things-1418151365 Show less Implemented data science projects in R for clients as proof of concepts to demonstrate the strengths of Revolution Analytics software. Performed a K-Means clustering program on customer segmentation analysis for TM Berhad. Implemented time series forecasting methods to forecast the demand of Asian Paints products. Participated in the Intel Internet of Things project where - Machine learning was combined with computer vision techniques to identify defective electronic… Show more Implemented data science projects in R for clients as proof of concepts to demonstrate the strengths of Revolution Analytics software. Performed a K-Means clustering program on customer segmentation analysis for TM Berhad. Implemented time series forecasting methods to forecast the demand of Asian Paints products. Participated in the Intel Internet of Things project where - Machine learning was combined with computer vision techniques to identify defective electronic boards - Time series forecasting was applied to sensor data to predict time to failure of equipment to aid predictive maintenance URL: http://www.wsj.com/articles/intel-steps-up-its-push-into-internet-of-things-1418151365 Show less



National University of Singapore

• Singapore

• Research Assistant

  • Jun 2012 - Dec 2013

  Worked on developing fast and efficient simulation based statistical methods for fitting contact network models of sexually transmitted diseases. Worked on developing fast and efficient simulation based statistical methods for fitting contact network models of sexually transmitted diseases.



University of Oxford - Department of Statistics

• Oxford, United Kingdom

• Research Candidate and Teaching Assistant

  • Oct 2007 - Sep 2011

  Area of research was in machine learning. Wrote in R a logistic regression embedded within a mixture of experts model to classify mixture data and compared bayesian and frequentist methods in doing so. Taught actuarial science to undergraduate students. Area of research was in machine learning. Wrote in R a logistic regression embedded within a mixture of experts model to classify mixture data and compared bayesian and frequentist methods in doing so. Taught actuarial science to undergraduate students.



Industrial Engineering Department of University of Iowa

• Singapore

• Research and Teaching Assistant

  • Aug 2006 - Jul 2007

  Research areas were in linear programming and stochastic optimization. Wrote a program using C++ and cplex to optimize the returns the of a portfolio of stocks subject to the conditional value of risk not exceeding a pre-determined level subject to investor’s risk tolerance. Taught stochastic modeling to undergraduate students. Research areas were in linear programming and stochastic optimization. Wrote a program using C++ and cplex to optimize the returns the of a portfolio of stocks subject to the conditional value of risk not exceeding a pre-determined level subject to investor’s risk tolerance. Taught stochastic modeling to undergraduate students.



Stansfield College Singapore

• Singappore

• Lecturer

  • Sep 2005 - Jun 2006

  Taught Mathematics and Statistics to undergraduate students in a business degree Taught Mathematics and Statistics to undergraduate students in a business degree



Refco Singapore Pte Limited

• Singapore

• Service Dealer

  • Sep 2004 - Jul 2005

  Worked as a service dealer where I advised on trading strategies and executed trades of currencies, commodities and index futures. Worked as a service dealer where I advised on trading strategies and executed trades of currencies, commodities and index futures.



Man Singapore Pte Ltd

• Singapore

• Service Dealer

  • May 2003 - Jun 2004

  Worked as a service dealer where I advised on trading strategies and executed trades of currencies, commodities and index futures. Worked as a service dealer where I advised on trading strategies and executed trades of currencies, commodities and index futures.



Great Eastern Life Assurance Company Limited

• Singaore

• Intern

  • Jul 2001 - Aug 2001

  Developed visual basic programs for calculating the Actual Exposure to Risk to Expected Exposure to Risk ratio. I also did a graduation for the mortality rates of the population of Singapore and wrote a report detailing the methodology used. Developed visual basic programs for calculating the Actual Exposure to Risk to Expected Exposure to Risk ratio. I also did a graduation for the mortality rates of the population of Singapore and wrote a report detailing the methodology used.



United Overseas Bank Life Assurance

• Singapore

• Intern

  • Jul 2000 - Aug 2000

  I assisted in the calculation of reinsurance premiums, underwriting and other general administrative work. I assisted in the calculation of reinsurance premiums, underwriting and other general administrative work.