A collection of data analytics projects by Ibinabo Adiela, focused on solving real-world business and healthcare problems. Each case study highlights the analytical approach, tools used, and key insights, with detailed documentation and code repositories included where applicable.
An end-to-end healthcare analytics project using Excel and Power BI to uncover patterns behind outpatient no-shows.
Churn prediction system built to help retention teams identify which customers are most at risk and why.
A lightweight on-chain analytics tool for tracking and analyzing large Ethereum transfers and capital movement.
Analyzed sales dataset with 185,000+ rows, identified trends, and created visualizations using Power BI, revealing insights on top-selling products, weekend sales spikes, and opportunities for growth and optimization.
This project examined the 2023 Nigerian election in Akwa Ibom State by calculating outlier scores and identifying significant anomalies.
Investigated the factors influencing patient satisfaction in hospital Emergency Departments (EDs) using data visualization techniques in Tableau.
Analyzed flu shot compliance using PostgreSQL and Tableau, uncovering key insights on vaccination trends across demographics. Developed visualizations to guide targeted healthcare interventions based on age, race, and geographic location
Using Python programming language and machine learning techniques this project seeks to provide personalized career guidance and recommendations to individuals, empowering them to make informed decisions about their professional trajectories.