Selected Projects In Data Science

This project aims to predict flu vaccination uptake (both H1N1 and seasonal flu) using data from the CDC 2009 H1N1 Flu Survey. By leveraging machine learning models, we explore key factors that influence whether individuals decide to get vaccinated — offering insights to shape public health strategy.

Developed as part of the ReDI-School of Digital Integration Course - Data Circle Fall 2025 in Hamburg by ALPHA GROUP: Assimagbe Albert Raphael & Saad Ali

Sales Trends and Patterns: An Exploratory Data Analysis

Analyzed sales data 2015-2016 using Python and Pandas to gain insights into the trends and patterns of sales over time. The sales dataset contains information on transactions, including the products sold, their cost and revenue, and the volume of products sold. It also includes customer age, gender, and location, offering insights into purchasing behavior across different demographic groups. In performing this analysis, I used Python and the Pandas library, which provides powerful tools for data manipulation and analysis. I also use Matplotlib and Seaborn for data visualization.

An Analysis On World Energy Consumption

Analyze world energy consumption data from 1970 to 2020 using Python and Pandas. Explore trends, patterns, and correlations between GDP and energy consumption. I also use Matplotlib and Seaborn for data visualization. Explain how companies can develop sustainable energy solutions.

IBM-Data-Visualization-with-R_-Shiny-Project

Explore the difference between people who earn less than 50K and more than 50K. You can filter the data by country, then explore various demogrphic information.

Master Thesis

Firms Export Activities And The Adoption of Environmental Actions in High- And Low-Income Countries

This paper examines the relationship between the export activities of firms in the manufacturing and service sector and the adoption of environmental actions in high- and low-income countries. Using multi-country data at the level of the firms, the empirical results show that firms involved in international trade are more likely to adopt the tools of green management in their production processes. Based on the heterogeneity of countries used in this study, I provide evidence that firms involved in export activities in low-income countries are likely to adopt green management techniques compared to firms that export in high-income countries. Taken together, the results suggest that export activities can significantly hasten the pace of green economic transformation by the countries involved.

Seminar Paper

Innovation And Firm Growth

The role of innovation to the development of a modern economy cannot be overemphasis. Innovative activity is the main driver of economic evolution, sustainability and the rise in the living standards in any society.Hence, this seminar paper arguments and analysis centred on previous works by academics scholars and empirical evidence that substantiated the role of innovation as a determinant of firm growth.