| Study Design | ChatGPT, R, Notion | Design experiments/surveys; power analysis; randomization & blocking. | Ensures valid inference. |
| Classical Inference | R (tidyverse/stats), Python (statsmodels), ChatGPT | Estimate, test, and interpret linear/GLM/survival models with diagnostics. | Produces defensible findings. |
| Bayesian Methods | Stan/BRMS, PyMC, ChatGPT | Build hierarchical models; report priors/posteriors and uncertainty. | Improves estimation with limited data. |
| Causal Inference | DoWhy, econml, R, ChatGPT | Apply matching/IPW/DiD; articulate assumptions and sensitivity. | Supports policy & product decisions. |
| Data Wrangling & QC | R, SQL, dbt, ChatGPT | Clean/validate datasets; log quality checks and lineage. | Keeps analyses trustworthy. |
| Visualization & Reporting | ggplot2, Power BI, Quarto, ChatGPT | Create clear visuals; generate reproducible reports. | Communicates results effectively. |
| Reproducibility | Git, Quarto/RMarkdown, ChatGPT | Automate analyses; publish notebooks and data dictionaries. | Enables audits and reuse. |
| Ethics & Data Privacy | OneTrust, ChatGPT | De-identify data; document consent and limitations. | Protects subjects and organization. |