Data Analyst with a data science edge. I turn raw data into business decisions with SQL, dashboards, data pipelines and, when a problem needs it, predictive modeling.
- 🎓 M.S. in Data Analytics & Visualization, Yeshiva University (Katz School), graduating Dec 2026
- 🎓 B.Sc. (Hons) in Data Science & Informatics, University of Zimbabwe
- 💼 Experience across insurtech, energy and entrepreneurship
- 🌐 Portfolio: nic-stack.github.io/NicoletteMtisi
| Project | What it shows |
|---|---|
| Healthcare Claims Pipeline | SQL + dbt star schema with 17 automated data quality tests, feeding a live Looker Studio report |
| Chronic Disease Analytics | PostgreSQL OLTP → OLAP data warehouse, SQL ETL and analytical queries |
| US Flight Delays Dashboard | Interactive Tableau analysis of delays and cancellations by cause, airline and airport |
| Power BI Dashboards | Insurance profitability and Adventure Works sales dashboards (see my portfolio) |
| Data Science Portfolio (11 projects) | End-to-end analysis and modeling: data cleaning, regression, classification, clustering, XGBoost, plus a capstone on household financial vulnerability |
| Predictive Maintenance | Machine failure prediction with a stacking ensemble (98.5% accuracy) |
| Twitter Sentiment Analysis | NLP on customer feedback (80% accuracy), later extended with DistilBERT |
Analytics & BI: SQL · Excel · Power BI (DAX) · Tableau · Looker Studio
Programming & analysis: Python · pandas · NumPy · Matplotlib · Seaborn · statistics
Data engineering: dbt · DuckDB · PostgreSQL · ETL / dimensional modeling
Machine learning: scikit-learn · XGBoost · statsmodels · TensorFlow/Keras · NLTK