Jacques Van Der Westhuizen, Phd Email & Phone Number

Vancouver, British Columbia, Canada

• Lead the implementation of Systecon software at Seaspan, ensuring alignment between the Digital Transformation Office, Systecon Directors, Seaspan Project Managers, and the contracted scope of work. Responsibilities.
• Collect, coordinate, and expedite technical data for various analysis activities, including Functional Analysis, Failure Modes, and Effects Analysis (FMEA), Reliability Analysis, Repair Analysis, Level of Repair.
• Identify and determine critical spares for equipment by reviewing Technical Publications and collaborating with Engineering, Materiel, and Supply teams.
• Analyze usage data and maintenance information to address and control equipment failures or propose improvements to enhance ship availability.
• Review and recommend updates to Maintenance Plans, Preventive and Corrective Maintenance Schedules, Instructions, and Performance Tests.

Sasolburg, Free State, South Africa

• Developed and managed Reliability, Availability, and Maintainability (RAM) simulation models, performing statistical analysis on equipment failure data to calculate system availability and asset life cycles.
• Led all RAM projects, providing critical feedback on preventive and corrective maintenance plans and identifying key equipment for optimization.
• Owned and managed changes to RAM data models, developing solution designs and architecture documentation for complex systems, including Failure Mode Effect Analysis (FMEA).
• Articulated design decisions for RAM data models and incorporated team feedback to enhance model quality.
• Collaborated with project and reliability teams to ensure compliance with data quality standards and architectural guidelines.
• Supervised Engineers in Training (EIT) assigned to RAM study projects, guiding them through the project lifecycle.

City Of Johannesburg, Gauteng, South Africa

• My responsibilities at ABSA Bank included:
• Create data visualizations that are interactive for owner of a project.
• Predict patterns and prevailing trends from big data in the home loan division.
• Developing of retention models, churn models and predictive models to keep clients up to date with the most recent insight analysis through various data mining techniques.

City Of Johannesburg, Gauteng, South Africa

• Responsibilities regarding the work at FNB included:
• Ad-hoc projects: Doing analysis and modelling for all businesses in FNB as requested
• Developed FNBs Segmentation and the Income Estimate Model whereby one would categorize a salaried customer into segments on FNB’s mainframe.
• A Lifetime Value (LTV) Model was developed for the Business Development function within FNB. Using the LTV model, FNB conducted customer-level forecasting and predictions to anticipate future customer value and assess.