Paul Boadu Asamoah
Data Scinetist with over two years of professional experience in budget analysis, project management, and accounting. Committed team player with expertise in data modelling, data analysis, and story telling.
Previously at Ghana's Ministry of Finance, AIESEC in Ghana.
View My LinkedIn Profile
Selected Projects in Data Science, Data Analytics, and Machine Learning
Cohort Analysis and Customer Segmentation
The project focused on calculating the monthly customer retention rate and effectively segmenting customers based on their behavior, including factors such as recent transactions, purchase frequency, and expenditure. Additionally, Power BI was utilised to perform comprehensive analyses of customer segments using cluster.
Predicting the Cooling Load of Building
This is a robust predictive model built to estimate the cooling load requirement, thereby supporting the development of energy-efficient buildings. The Gradient Boosting Regressor, Random Forest Regressor and others were among the models utilised.
Predicting the Cooling Load of Building
Analysing Prosper Loan Data
This analysis focuse on the creditworthiness of borrowers and loan patterns using a dataset of loan listings from Prosper, a peer-to-peer lending platform, spanning the years 2005 to 2014.
Predicting the Housing Price
Analysing Twitter Archive
