A case study on designing an AI-assisted workflow, discussing agentic autonomy and deterministic control through architectural decisions and production constraints.
An overview of the process of building an E-Commerce dashboard using Power BI and R, covering exploratory data analysis, time series forecasting, and causal modelling.
A hands-on guide to implementing propensity score matching in R for causal inference in A/B testing scenarios using marketing data.
An overview of the process of building an analytical dashboard using Power BI and R, focusing on data preparation, time series forecasting, and causal analysis.
A detailed walkthrough of creating a financial risk dashboard using Power BI and R, covering data cleaning, model building, and integration.
dtwclust
Key components, metrics, errors, CUPED, multiple testing, peeking, and Bayesian vs frequentist approaches.
Creating an animated visualization of spatial data using R
sophisthse
rnaturalearth
