u  Data Science-Driven Dietary Plan:

Utilizing Python for data collection and analysis, integrating nutrition science and optimization algorithms. Based on various nutritional standards, the project also offers diverse dietary choices to cater to individual tastes and dietary preferences.

u  VBA-Driven Personalization:

Utilizing VBA User Form to input personal information and dietary preferences, calculating daily nutritional requirements. Employing VBA and Excel Solver, visualizing windows to generate customized meal plans that meet individual needs.

u  Data Integration and In-Depth Analysis:

Integrating data from two food delivery platforms, conducting in-depth analysis of key performance indicators like GMV, exposure, and traffic using Excel. Providing accurate data support for business decisions.

u  Tableau Visualization Enhancement:

Creating intuitive visualization models with Tableau to highlight store performance trends. Enhancing insight into crucial elements such as order validity and advertising expenses, offering visual support for strategic decision-making.