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Designs intuitive executive dashboards and chooses the optimal chart types following human visual perception principles.
Performs an exhaustive exploratory analysis on raw datasets to surface statistical anomalies and correlations.
Analyzes historical trends, holiday effects, and seasonality to generate confidence-bounded future forecasts.
End-to-end Python pipeline for customer churn prediction with advanced feature engineering and SHAP interpretability.
Rewrites slow, expensive data warehouse SQL queries to slash bytes scanned, eliminate cross-joins, and prune partitions.
Calculates sample sizes, detects statistical power, and controls for false discovery rates in product experiments.
Designs high-signal feature transformations, interaction terms, and encodings for predictive ML models.
Refactors slow, memory-hogging Pandas dataframes using vectorization, categorical types, and efficient memory layouts.
Explains any SQL query clause by clause, with performance and correctness warnings.