This project fulfills the Module 5 assignment (Prosacco activity presentation) for Unilever's Using Data Analytics in Supply Chain course on Coursera.
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Updated
Mar 30, 2025
This project fulfills the Module 5 assignment (Prosacco activity presentation) for Unilever's Using Data Analytics in Supply Chain course on Coursera.
This is an analysis of the data obtained from a survey conducted on the Ipetu/Ife Community in Osun State Nigeria. This owner has all rights.
This project delves into Indonesia's dynamic hospitality industry, uncovering seasonal booking trends, the impact of stay duration on cancellations, and how lead time affects cancellation rates. Valuable insights guide hotels to optimize pricing, policies, and customer engagement, enhancing competitiveness in the Indonesian hospitality sector.
Breast cancer analysis and visualization
🌟 Performance Evaluation Metrics 🌟 Built using Python (Pandas, Matplotlib, Seaborn, Plotly) to automate data extraction, scoring, and reporting. Designed metrics like Task Completion, Project Quality, and Mentor Feedback to assess overall performance. Empowers organizations to make smarter, transparent, and data-backed performance decisions.
This is a follow-up experimental work on Cross-Platform Benchmarking for Edge-Computing Knee Tele-Rehabilitation, which is based on the codebase from https://github.com/bbacic/tnwahi-appakrcs
A free limited web based course learning from DICT where it tackles on analyzing data using Python included my exercises and challenges files.
Experienced Data Scientist and AI Professional specializing in healthcare analytics, machine learning, business intelligence, and advanced analytics solutions.
Data analysis portfolio showcasing diagnostic projects, hypothesis testing, and business problem-solving. Focus on answering why rather than just what happened.
Data analysis learning
Revenue diagnostics and customer behavior analysis to identify drivers of decline and recovery priorities.
Data Mining University of Indonesia group project for final assesment
An end-to-end business intelligence project analyzing coupon redemption patterns in Nigerian retail and e-commerce. Built using Python, Excel, MySQL, and Power BI, the dashboard uncovers campaign performance, channel effectiveness, discount strategy, & customer engagement. Includes SQL scripts, cleaned dataset, and .pbix file for full transparency.
This case study looked at the attrition rate and performance of employees. This was done by performing a descriptive and diagnostic analytics with SQL
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