
Thigan Pillay
@thiganpillay
I optimise manufacturing processes and build data analytics for safer, higher-yield operations.
What I'm looking for
At RCL Foods and Sappi, I've delivered process optimisation, capital projects, and plant analytics across edible oil, pulp, and paper operations. My work includes a caustic-dosing strategy targeting 34% lower consumption, a R6 million degumming-separator business case, and recycled-fibre expansion projects supporting a minimum R24 million annual revenue uplift.
I combine process engineering with Python, Power BI, and financial modelling to uncover losses, improve reliability, automate reporting, and strengthen investment decisions. I'm currently pursuing a Master's in Big Data Science while applying HAZOP, HIRA, MOC, RCA, and Lean Six Sigma methods to safer, more efficient manufacturing operations.
Experience
Work history, roles, and key accomplishments
Process Engineer
RCL Foods
Feb 2026 - Present (7 months)
Responsible for edible oil processes including crushing, extraction, and refining. Developed and validated a data-driven caustic dosing strategy targeting a 34% reduction in caustic consumption and projected annual savings exceeding R500K.
Education
Degrees, certifications, and relevant coursework
University of Pretoria
Master of Information Technology, Big Data Science
Pursuing a Master's degree in Information Technology with a focus on Big Data Science, covering advanced big data analytics, machine learning, and data governance.
University of Cape Town
Project Management Foundations, Project Management
Completed a short course in Project Management Foundations.
University of Pretoria
Bachelor of Engineering, Chemical Engineering
Activities and societies: Golden Key International Honour Society; Distinction for final year research project
Earned a Bachelor of Engineering in Chemical Engineering, achieving NQF level 8.
St Dunstan's College
National Senior Certificate, General
Completed the National Senior Certificate.
Tech stack
Software and tools used professionally
Availability
Location
Authorized to work in
Salary expectations
Job categories
Skills
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