I help businesses and researchers make sense of their data through rigorous statistical analysis. Whether you need to validate a hypothesis, uncover trends, or build a model to support a decision, I deliver clean analysis with clear, actionable takeaways — not just numbers.

Descriptive & inferential statistics (means, distributions, confidence intervals, hypothesis testing)

Regression analysis (linear, logistic, multivariate)

A/B testing & experiment design

Time series analysis & forecasting

Data cleaning & exploratory data analysis (EDA)

Statistical modeling & predictive analytics

Survey data analysis

Custom dashboards & visualizations to communicate findings

Tools I work with: Python (pandas, NumPy, SciPy, statsmodels, scikit-learn), R, SQL, Excel/Google Sheets, Tableau/Power BI

Ideal for: startups validating product decisions, researchers needing analysis support, marketing teams testing campaigns, or anyone who has data but needs someone to make it meaningful.

Peer-reviewed Publications:

https://scholar.google.com/citations?user=SUmArnIAAAAJ&hl=en

Books: https://www.amazon.com/stores/Faye-Anderson/author/B01FGD9GSC?ref=sr_ntt_srch_lnk_1&qid=1785241032&sr=8-1&shoppingPortalEnabled=true&ccs_id=65fb9f22-523a-4481-9c05-91e0f2a96e37