IRENE BUSAH - Backend Developer & ML/AI Scientist
Certified Data, ML/AI Scientist transforming complex data into strategic insights.
Carnegie Mellon University
Portfolio Highlights
Showcasing my latest data science projects including stock analysis tools, market trend dashboards, and educational data explorations.
Research Projects & Quantitative Analytics
1
Infrastructure Intelligence Hub – Real Estate Analytics
Urban planning decisions in Rwanda often rely on fragmented and delayed infrastructure data.
Delivered near-real-time analytics on real estate infrastructural growth to support faster, data-driven decisions.
Delivered near-real-time analytics on real estate infrastructural growth to support faster, data-driven decisions.
2
Healthcare Resource Allocation
Used geospatial analysis and ML to optimize Rwanda's health facility distribution for diseases like Malaria and HIV.
3
Hybrid Machine Learning for Intrusion Detection
Developed a model reducing false alerts and improving explainability with SHAP for network security.
4
Air Transport Demand in Ghana
Analyzed economic growth impact on air travel demand using regression models, informing policy recommendations.
5
Titanic Survival Prediction
Built ML models achieving 80.6% accuracy in predicting passenger survival, aiding data-driven insights.
Featured Projects
Built an automated ML pipeline to predict lung cancer patient survival using clinical and demographic data. Integrated DVC, MLflow, Prefect, and Streamlit to manage data versioning, experiment tracking, orchestration, and real-time predictions.
Urban planning decisions in Rwanda often rely on fragmented and delayed infrastructure data.
Delivered near-real-time analytics on real estate infrastructural growth to support faster, data-driven decisions.
Delivered near-real-time analytics on real estate infrastructural growth to support faster, data-driven decisions.
Interactive dashboard for analyzing stock market trends and performance using Python.
Dashboard comparing phone prices and brand performance metrics across markets.
Comprehensive dataset analysis of fitness industry trends and consumer behavior.
Technical Skills
Python
Advanced data analysis, machine learning implementation, and automation.
SQL
Complex queries, database management, and data extraction.
Data Visualization
Creating insightful dashboards and interactive reports.
Hugging Face Transformers, PyTorch, Predictive modeling, NLP, and AI-driven solutions.
MLflow, FastAPI, Pandas, Sklearn, Prefect, Airflow, AWS SageMaker, Docker, DVC, Dagshub, GitHub Actions, Pipeline Orchestration, Configuration Management, Logging & Monitoring
Django, Flask, FastAPI, Spring Boot, API design & integration
Professional Certifications
1
Data Engineer Associate
DataCamp certification validating expertise in data engineering principles and practices.
2
Data Scientist Track
Comprehensive training in statistical analysis, machine learning, and data visualization.
3
Associate Data Engineer
Specialized certification in data pipeline development and management.
Work Experience
Software Engineer
Comprehensive Staffing Resources Ltd | Jan 2023 - Present
Building web applications, designing UI/UX, and developing technical solutions for clients.
Healthcare Resource Allocation
Used geospatial analysis and ML to optimize Rwanda's health facility distribution for diseases like Malaria and HIV.
Hybrid Machine Learning for Intrusion Detection
Developed a model reducing false alerts and improving explainability with SHAP for network security.
Education
Carnegie Mellon University
MS in Information Technology - Software, Data & Machine Learning
2024 - 2026
2024 - 2026
The African Leadership University
Bachelor's degree in Computer Science | 2024
African Science Academy
Cambridge International A-levels in Advanced Mathematics and Physics | 2020
About Me
Skilled in building scalable APIs and deploying predictive models using Django, Flask, FastAPI, Spring Boot, and Python. Passionate about solving complex problems and delivering user-centered solutions that drive measurable impact.
