Python & Data
Pandas, NumPy, scikit-learn, statsmodels, notebooks, Machine Learning and tuning, ETL.
Data Analyst • Engineer • Developer
Utilizing user stories, data and testing to weave customer needs into actionable business insights.
Develop strategies to clean, prepare and model data using ML and AI tools.
Skills & Abilities
SQL & Warehousing
Modeling, queries and query development, performance, Postgres/SQLite, reporting.
Visualization
Tableau, InDesign, Figma, clear story design, accessibility and interaction.
Forecasting
ARIMA, cross-validation, RandomForest, linear regression, evaluation/diagnostics, baselines → ML.
Quality & Ops
Version control, Github, CI/CD, reproducibility, documentation, lint/format.
Communication
Executive summaries, detailed storytelling, stakeholder alignment, clear recommendations.
Projects
Customer Churn Analysis
2025End-to-end analysis with synthetic data, feature engineering, and Tableau dashboards. Includes data dictionary, reproducible notebooks, and business recommendations.
- Python
- Tableau
- EDA
GDP Forecasting
2025ARIMA baseline + ML pipeline with cross-validation, error analysis, and report. Forecasts 30 years ahead with uncertainty bands.
- Time Series
- Pandas
- ARIMA