Loan Payback Prediction (Machine Learning)
Built and compared classification models (including ensemble/hybrid approaches) to predict loan repayment risk. Evaluated performance using ROC-AUC.
View on GitHubPreciosa Muujiza Ngoy Kalumba
AI & Business Analytics Graduate Student
I build data-driven solutions with machine learning, statistical modeling, and database design. My projects focus on applying AI to structured business problems and communicating results clearly.
Quick Focus
- Machine Learning (classification, ensembles)
- Regression & statistical interpretation
- Relational modeling (3NF), OLTP/OLAP, Star Schema
- Tableau dashboards & storytelling
Selected Projects
A few projects that represent my work across ML, analytics, and database architecture.
Smart Retail Analytics Hub (Oracle 23ai)
Designed a hybrid retail data platform combining normalized OLTP design with an OLAP star schema for analytics and reporting.
View on GitHubHospital Database System Design
Designed a relational hospital database using ERD/EERD modeling and normalization principles. Included structured SQL queries for operational reporting.
View on GitHubFlight Route Regression Analysis
Applied linear and quadratic regression in R to analyze airfare pricing patterns and compare model fit.
View on GitHubGlobal Labor & Internet Visualization
Integrated multi-source global datasets and built a Tableau dashboard to explore labor participation, migration, and internet access trends.
View on GitHubSkills
AI & Analytics
- Machine Learning (classification, ensembles)
- Regression (linear, quadratic)
- Model evaluation (ROC-AUC)
- Data cleaning & feature engineering
Data & Databases
- SQL (joins, aggregation, reporting)
- Relational design (3NF)
- OLTP vs OLAP
- Star schema / dimensional modeling
Tools
- Python, R
- Oracle, GitHub
- Tableau
- Jupyter Notebook