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Roland Choong

Roland Choong

Data Analytics and Visualisation
Singapore
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About Roland Choong:

An accomplished, insight-driven, and deductive Data Analytics professional who has enabled positive business values through better product performance, improved cost, and enhanced implementation of analytical systems. Experienced, skilled, and astute in the data science approach of descriptive, prescriptive, and predictive analytics. Adept at discovering solutions hidden in a large volume of data. Effective in inspiring deeper insights through the 
curation of purpose-driven data visualizations. Produced insights that stands-up to scrutiny, generating trust and confidence. Perceptive communication with technology teams and other stakeholders, enabling consensus and congruent decisions. 

Experience

PROFESSIONAL EXPERIENCE 

Standard Chartered Singapore                                                              2022 Apr – Present   Asst Vice-President / Analyst, Information & Cyber Security Risk Visualization 

Standard Chartered Singapore is a subsidiary of British banking and financial services company. The ICS endeavors to build an end-to-end cyber-resilient bank. 

  • Participated in the full lifecycle of the BI project: designed and implemented dashboards for various stakeholders including C-level management which enabled monitoring of the threat landscape, control performances, and investments to uplift the controls. 
  • Delivered aggregated data and reports to facilitate insights regarding cyber threats, attack surface, and cyber security controls. 
  • Analyzed and drove resolution for defects and data inconsistencies to ensure correct reporting. 
  • Improved data management framework to ensure the accuracy of risk reports and metrics tracking. 

UBS Singapore                                                                                        2021 Mar – 2022 Mar Associate Director, Technology Risk and Data 

The company is a Swiss multinational investment bank and financial services company where digital technology is a differentiator that delivers the best experience to its clients and employees. 

  • Mined, cleaned, and created data aggregations and tools for cyber hygiene reporting and analytics. 
  • Implemented a data preparation cadence consisting of data extraction, data transformation, and data modeling in support of Power BI reporting. 
  • Delivered regular Power BI dashboards to technology risk management committees which enable monitoring and actions to address risk areas. 
  • Collaborated with teams beyond the risk function to build out data infrastructure to support the sustainable delivery of Power BI dashboards. 

Seagate Technology                                                                                       2006 – 2020      Senior Manager, Data Analytics (Head/Media)  

The company offers data storage and management solutions through innovative world-class, precision-engineered solutions. It stayed relevant in a highly disruptive business and technological environment. 

  • Managed a Best-in-Class team (8 to 18 staff) of regional data analysts in delivering actionable insights through systematic data processing (cleaning, fusing, structuring), statistically driven analytics, and efficient data transformation. Oversee an annual group operating budget of SGD 0.5 million to $1.0 million. 
  • Possessed solid experience in talent management and acquisition, training and development, reward and recognition, and career development, resulting in 30% of analysts being promoted to leadership positions. 
  • Developed a Best-in-Class team with expertise in uncovering patterns and nuances in data, determining statistical validity and significance, applying predictive data models, and curating data visualizations. 
  • Succeeded in transforming the data analytics team from a service provider to a partner with stakeholders in translating insights into actions. Resolved 90% of technical issues collaboratively. 
  • Recognized and received the Extraordinary Effort Award for improving product design, performance, and quality with annual cost savings of $3 million to $8 million to the business through the application of descriptive, prescriptive, and predictive data analytics as well data modeling. 
  • Enabled Top-Three leadership in Performance and Quality for seven generations of products by solving chronic and multi-interactive client issues through deep-dive analytics backed by strong domain knowledge. 
  • Recognized and received an Award for Significant Contribution to developing and deploying an analytical system with a dashboard for anomaly detection, product performance, and risk management of supply. Empowered people through self-service analytics and visualization. Improved fit-for-use by more than 80%. 
  • Developed, improved, and implemented multi-faceted regression data models which predict and carves-out a sub-set of the component population to meet the performance requirement of the final product. It has resulted in annual savings of more than $10 million. 
  • Initiated and developed automated, user-friendly reports/management dashboard, for 7 successive generations of products which enabled early prediction of the health of the product and improved variability. Resulted in Top-Three leadership in Performance and Quality for 10 successive years. 
  • Participated in the development and finetuning of decision tree and random forest machine learning models to predict Reliability and Field failures. Successfully pre-empted 60% of potential failures. 
  • Drove greater engagement and steered technology teams/stakeholders/management to congruent and effective decision-making through purposeful data insights and visualizations. Resolved 90% of issues. 
  • Collaborated with IT on implementing data governance policy such as data retention, data accuracy, data specifications, and automation of routine data query, resulting in 100% effective exploitation of data assets. 
  • Awarded Six Sigma certification and implemented statistical analysis methods to five projects which improved operational costs and brought a positive business impact of US$120,000 to US$300,000. 
  • Acquired solid experience in inferential statistics and data modeling techniques such as Regression models, Predictive and Specialized Modelling, Multivariate Methods (Principal Component Analysis), Multifactorial interaction analysis, and Clustering methods. 
  • Acquired strong statistical and analytic capability with data analysis software JMP (SAS), competent in data visualization tools like Excel, Power BI, Alteryx, and Qlik Sense. Familiar with Tableau and KNIME. 
  • Acquired deep experience in data mining, data extraction (querying multiple tables), data cleaning, data transformation, and integration; proficient with SQL, and query tools like eCube and Workflow Builder. 
  • Acquired Advanced Diploma in Data Science (R and Python) from Singapore Management University. Completed 2 Capstone projects (1) Developed a Machine Learning model to predict customer churn for credit cards (2) Developed a Linear Regression model which explains how students’ social background affects education outcomes. 

EARLIER PROFESSIONAL EXPERIENCE 

Senior Manager, Product Performance Engineering  

  • Managed a team of up to 8 Engineers responsible for product yield and quality of Magnetic Read-Write Head. Acquired strong people management and change management experience. 
  • Succeeded in delivering more than 90% of technical solutions through data analytics and failure analysis in collaboration with internal suppliers. Accountable for translating plans into action. 
  • Achieved the company’s operational excellence goals.

Senior Engineer, Application Engineering  

  • Represented internal Head-Stack Supplier in the Hard Disc Drive Factory, responsible for engineering issues and supply continuity. Annual business value for the supply exceeded $50 million. 
  • Succeeded in resolving more than 80% of complex product and technical issues with the HDD Factory.

Associate Principal Engineer, Supplier Engineering 

  • Managed Head-Stack and Media Suppliers with factories in the US and Asia, with business values over $20 million annually. 
  • Performed factory audits, managed performance metrics, coordinated engineering qualifications, assessed Quality Scorecards, and conduct Quarterly Business Reviews. 

 

Engineer, Failure Analysis 

•   Performed failure analysis and recommended corrective actions on Hard Disk Drives failures from the Final Audit and Reliability Testing. 

Education

• Bachelor’s Degree in Mechanical and Production Engineering, National University of Singapore. 
• Advanced Diploma in Data Analytics (R) and Machine Learning in Python, Singapore Management University. 
 

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