saisiddharthnandhakumar/ManhattanBusinessAnalytics2023-FoodSafety-Security

The code for the project done for the Manhattan Business Analytics Competition 2023. The topic was to develop a model to analyze Food Security/Safety in Sub-Saharan Africa and Central America/Caribbean Islands # Manhattan Business Analytics Competition 2023 This project was done for the Manhattan Business Analytics Competition 2023. The topic was to develop a model to analyze Food Security/Safety in Sub-Saharan Africa and Central America/Caribbean Islands. The team who accomplished this and won the best poster award was me(Saisiddharth Nandhakumar), Emily Richey, Andrew Le, and Naomi Raeford from the College of Business at Nicholls State University. ### Goal: 1. Develop or enhance a definition of food safety that would be applicable to a majority of countries in Sub-Saharan Africa. 2. Given your definition of food safety, develop a model that can be used to analyze food safety in Sub-Saharan Africa. 3. Answer the following research questions: ● How well does your model fit the data for the last twenty or so years? ● What does your model tell us about the future of food safety in this part of Africa? ● What are the known deficiencies with your model? ● What type of data would you need to improve your model? ● What insight does your model provide into how we might improve food safety in the coming years? Click link for pdf version: Nicholls State University_Planting the Seeds of Food Security in Sub-Saharan Africa.pdf ## Tech Stack Programming Languages: Python, R Tools: Tableau, Microsoft Excel, Microsoft Powerpoint, Jupyter Lab, R Studio ## Data Collection The datasets we were suggested from the FAO (Food and Agricultural Organization) from where we got variables about Food Security which was our dependent variable, agricultural production, trade variables like the import and export of different types of fruits, vegetables, grains, etc. We also got some variables from the World Bank such as population, Gross Domestic Product (GDP), labor participation rate, and average precipitation. We had over 147 variables from the years 1970 to 2022. In addition to these widely available datasets, we also conducted interviews with Africans who have migrated to the US over the …