Completed in early 2023, this project demonstrated my understanding of data science methodology, my technical skills and my communication skills in generating insights from rocket launch data. Python libraries used include NumPy, Pandas, Matplotlib, Seaborn, Folium, and Scikit-Learn. Machine Learning models included Logistic Regression, SVM (Support Vector Machine), Decision Tree, and KNN (k-Nearest Neighbors). I performed SQL queries and applied math skills. Details are available in the Jupyter Notebooks on my GitHub page.

This app displays the 'In Stock' list of parachute systems. It is powered by a database. The layout is responsive to screen width such that mobile devices have a simplified list with more details available by clicking on each listing whereas devices with wider screens display a table. The manage stock page (not accessable with the guest login) is used to easily create and edit stock listings. There is a API interface which can be used to port the stock listing contents to other sites.

Biltong is a delicious and nutritious air cured beef snack. This app automates recipe calculations for biltong production. The recipe management page (not accessable with the guest login) is used to easily create and edit recipes. The batch logistics page (not accessable with the guest login) performs calculations associated with batch scheduling, labeling, and tracking to assist in meeting compliance requirements.

Login for processing work orders, managing schedules, and creating invoices.