I’m Ekong Joshua Bassey, a Food Engineering graduate who blends food-processing research with data analysis and AI. My final-year work used Python-based Artificial Neural Networks to model drying kinetics and energy consumption for de-shelled periwinkles under vacuum and microwave drying, including the effects of freezing pretreatment. I enjoy turning experimental data into clear engineering insights using statistical evaluation (like R² and RMSE) and strong technical writing.
Beyond research, I’m also experienced in coordinating projects and collaborating with teams under real constraints. I’ve contributed to engineering and innovation efforts such as a small-scale food-processing proof of concept and a data acquisition–focused “Blue Sense” project. I bring reliable digital productivity skills for research, reporting, and organization using tools like Google Workspace, Microsoft Office, Trello, and Asana—and I’m passionate about food technology, sustainable food systems, and responsible, practical innovation through emerging technologies.
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