FlexiMed (Breaking Financial Barriers in Healthcare)

A group project carried out to ease the implementation of healthcare Insurance in Nigeria. The deliverables include a problem statement with relevant data visualizations, a proposed tech-based solution, wireframes showing different screens of the app, a slide deck, and a pitch video.

Restoring the Lifeblood of Maji Ndogo

Data collected across provinces and towns by surveyors in a fictious country Maji Ndogo where her people lack basic access to water was analysed to reveal areas and water sources where infrastructures need repair and urgent attention is needed. This project was designed by the ExploreAI Academy.

Communicating our Findings (visualisation)

In this project, a national survey report was created with useful data representation on the dashboard. Our mission is to communicate our findings in respect to the proposed solution with its budget based on given data. The report drill-throughed different pages containing provincial information.

Tracking Water Funds in Maji Ndogo (visualisation)

In this project, a public dashboard was built in Power BI to track the flow of funds through project completion, monitor performance of vendors, and compare budget versus actual costs of improvement. Our mission is to communicate with transparency.

Python Exam

The project repository is majorly about lines of code used for a Python Exam, crafted by ExploreAI Academy, as designed to assess the proficiency of us learners in data wrangling and performing data analysis using Python. Additionally, it aimed to evaluate our overall understanding of Python coding.

Predicting the yield

The project is a regression task project where various environmental factors are used to predict the Standard yield of crops on fields where they are planted. The python source files has to be downloaded in the same file path as the notebook to successfully run code cells in the notebook

Content-based Recommender on Netflix

A project to build a content-based recommender system algorithm on using the popular movie/show service provider Netflix dataset. This project was carried out in a Jupyter Notebook environment, including an algorithm that recommends top-N movies for a service's user base based on user interaction.

MySQL Exam

Scope: A challenge designed by the ExploreAI Academy to check how much their students have learnt and precisely, test their knowledge on SQL. The analysis was carried out in a Jupyter notebook on The Movie Database of 2008 an online movie and TV show database that houses popular movies contents.