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.
Excel-based analysis of quarterly sales performance, identifying key trends and providing actionable recommendations for sales strategy improvement.
Python-based predictive model using machine learning to identify patients at risk of readmission, enabling proactive care interventions.
Process improvement analysis using Excel to identify bottlenecks in healthcare operations and recommend efficiency improvements.
Automated ETL pipeline using Python to process and transform healthcare data, reducing manual processing time by 80%.
Executive-level Power BI dashboard providing real-time insights into financial performance metrics and KPIs for stakeholder decision-making.