Madeliene Balachandran Email & Phone Number

Singapore

Singapore

• Lead developer of a Production Optimization.NET web app deployed on Azure, integrated with existing plant equipment systems, and scaled for South Asia and ASEAN, achieving 3.25M USD annual savings.
• Deployed computer vision algorithms for bi-weekly thermography analysis to identify critical hotspots, resulting in 1.9M USD cost avoidance and downtime reduction of 30 days per incident.
• Developed data visualization projects for Energy Management and Decarbonization tracking, Investment analyses, and Finance KPI dashboards across APAC, aligning with end-user requirements.
• Conducted cross-cultural technical workshops on data visualization, RPA and Generative AI, coaching 100+ employees to successfully implement digital projects and improve productivity.

Singapore

• Convert legacy key plant monitoring tools to cloud-based dashboards for multi-platform monitoring and improved visualization of plant health and key performance indicators.
• Developed Seeq workbooks to automatically calculate critical plant process parameters through data integration and correlation for monitoring purposes.

Malaysia

• Developed an automated workflow of Operations team’s daily production reports through data integration between various data sources, using Tableau, Python, Power Platform, PowerShell and Bash scripting.
• Automated an end-to-end solution for the Procurement department’s manual logistics booking process and information collection from external stakeholders using Power Platform, achieved processing time reduction by 83%.
• Supported the construction and commissioning of a 1400 Nmch Nitrogen generator plant.
• Led and coordinated a Six Sigma productivity project to reduce daily plant product losses by 50%.

Shah Alam, Selangor, Malaysia

• Focal developer of a drilling operation and well control simulation software using Python, C# and Azure.
• Support design of web-based AI asset management tools for predictive maintenance and data analytics.
• Devised process solutions based on transient simulation models and analytical studies in UniSim and HYSYS.
• Presented in a webinar on integration of Artificial Intelligence in Biochemical Reactors modelling.

Shah Alam, Selangor, Malaysia

• Actively involved on project assistance relating to dynamic simulation models for engineering analysis and operator training system.
• Responsible for simulation models data preparation and process case studies analysis using Microsoft Excel, VBA and Python.
• On the job training on steady-state and dynamic mode process modelling.
• Responsible for extracting useful data for simulation from engineering documents, such as Process Flow Diagrams (PFD), Piping & Instrumentation Diagrams (P&ID), Isometric Drawings and equipment data sheet.

Labuan, Malaysia

• Involved in asset movement coordination and reinforced the task efficiency through design and implementation of checklist style tracking system.
• Slashed materials and supplies cost through invention of inventory management system using Microsoft Excel.
• Worked efficiently on offshore equipment transfer compliant with safety regulations.
• Assist on operational test of Wireline equipment during maintenance.
• Completed over 30 equipment and liftings examination with client inspectors through effective communication.

Master Of Science - Ms, Computer Science

Specialisation in Machine Learning

Bachelor Of Engineering - Be, Chemical Engineering, 3.97

Activities and Societies: IChemE, SPE, What About Friendship Community Programme• Bestowed Dean’s List (2017 – 2020) and UCSI University.

Education record