Machine Learning Intern — FIIRO (Yield Prediction Model)
Developed an industrial pastry yield prediction model by turning raw lab research parameters into model-ready training datasets in collaboration with a food scientist. The work focused on preparing structured training data from experimental variables to support supervised machine learning evaluation. Data preparation and dataset assembly were validated through predictive performance metrics and test loss reporting. • Translated lab research parameters into actionable dataset features • Prepared training datasets for supervised model development • Evaluated model performance using RMSE and test loss • Collaborated with a food scientist to standardize inputs