Develop new flour types, blends, and specialty products (e.g., high-protein, functional, or customized flours) based on market trends and consumer needs.
Conduct baking/noodle/pastry trials to evaluate flour performance in end-products.
Stay updated on current trends in flour application products such as bakery, noodle, and pastry products — including recipes, formulations, and processing methods.
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Develop new flour types, blends, and specialty products (e.g., high-protein, functional, or customized flours) based on market trends and consumer needs.
Conduct baking/noodle/pastry trials to evaluate flour performance in end-products.
Stay updated on current trends in flour application products such as bakery, noodle, and pastry products — including recipes, formulations, and processing methods.
...
Design, develop, and implement machine learning models and statistical analyses to address complex business problems
Build and optimize data pipelines and ETL processes to ensure efficient data flow and quality across the organization
Collaborate with cross-functional teams including engineering, product, and business stakeholders to translate requirements into analytical solutions
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Identify, analyse, and resolve manufacturing process and quality-related issues through data-driven approaches.
Develop, implement, and maintain Fault Detection (FD), Predictive Analytics, and Run-to-Run (R2R) control models to improve process stability, yield, and equipment performance.
Lead and participate in continuous improvement initiatives focused on yield enhancement, cycle time reduction, productivity improvement, and manufacturing cost optimisation.
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Creating and Maintaining Data Visualizations: Develop and manage data visualizations, reports, and dashboards using Microsoft Power BI and other tools, including tasks like data extraction, transformation, modeling, and loading (ETL) in platforms like Cognite.
Running Queries and Scripts: Execute DAX queries, Python scripts, and functions within Power BI to enhance data analysis and reporting capabilities.
Statistical Analysis: Systematically collect, process, and perform statistical analyses on data sets to derive meaningful insights.
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Identify, analyse, and resolve manufacturing process and quality-related issues through data-driven approaches.
Develop, implement, and maintain Fault Detection (FD), Predictive Analytics, and Run-to-Run (R2R) control models to improve process stability, yield, and equipment performance.
Lead and participate in continuous improvement initiatives focused on yield enhancement, cycle time reduction, productivity improvement, and manufacturing cost optimisation.
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