I will perform advanced statistical analysis and testing
Data Scientist and Analyst, Project Manager
About this Gig
Whether you need to test experimental hypotheses, build predictive regression pipelines, or evaluate multi-variate drivers, I deliver publication-grade statistical solutions.
My methodology begins with verifying fundamental statistical assumptions to ensure absolute mathematical validity. I conduct rigorous distribution checks, normality tests, and homoscedasticity evaluations before applying parametric or non-parametric tests (t-tests, ANOVA, Mann-Whitney U, Chi-Square). For predictive tasks, I design and fit robust Linear, Logistic, and Generalized Linear Models (GLMs), complete with comprehensive diagnostic checksincluding residual variance analysis, Variance Inflation Factors (VIF) for multicollinearity, and R2/Adjusted R2 diagnostics.
You will receive clean, fully documented reproducible code alongside an executive report containing clear statistical interpretations, effect sizes, confidence intervals, p-value matrices, and publication-ready diagnostic charts.
My Portfolio
FAQ
How do you handle non-technical stakeholders or academic publication standards?
If your report is for non-technical stakeholders, I translate p-values and odds ratios into plain business language. If it is for academic publication or clinical research, I deliver rigorous methodology summaries with LaTeX equations, exact confidence bounds, and formal statistical test formatting.
