I’m a Data Engineer & Data Scientist passionate about building intelligent, scalable systems that deliver impact — from managing real-time data for food security to modeling interventions that reduce antimicrobial resistance.
- Tech Stack: Django, Dagster, PostgreSQL, Docker, KoboToolbox, Plotly Dash
- Use Cases: Data pipelines, ingestion systems, data quality validation, dashboarding
- Tech Stack: PyTorch, Scikit-learn, HuggingFace, MLflow, Pandas, NumPy
- Use Cases: Recommendation systems, causal impact analysis, generative AI, predictive modeling
Tools: Django · Dagster · PostgreSQL · KoboToolbox · Plotly Dash
Built data pipelines that collect, transform, validate, and visualize data for food insecurity early warning systems.
Tools: PyTorch · MLflow · EHRs · Scikit-learn
Trained and deployed ML models to recommend antibiotics using electronic health records (EHR), with the goal of minimizing antimicrobial resistance in healthcare settings.
Tools: Scikit-learn · PyTorch · Causal Inference · Data Visualization
Modeled food insecurity trends and evaluated the projected impact of various policy and humanitarian interventions using structured and spatial data.
- Email: petermburu440@gmail.com
"Turn raw data into real decisions — repeatably, responsibly, and at scale."