Data & Analytics

Designs experiments with sample size calculations, performs power analysis, evaluates results using Bayesian and frequentist methods, and monitors guardrail metrics.

Designs dashboard specifications with information hierarchy, chart type selection, cognitive load optimization, and interactivity patterns for data visualization.

Performs exploratory data analysis, hypothesis testing, correlation analysis, segment comparisons, and outlier detection across business datasets.

Profiles datasets for quality issues, scores completeness, accuracy, and consistency, applies automated validation rules, and detects data drift over time.

Builds time series forecasts using ARIMA and exponential smoothing, creates ensemble models, provides confidence intervals, and tracks model accuracy with MAPE and RMSE.

Discovers cross-dataset correlations, contextualizes anomalies, frames findings with actionable so-what statements, and prioritizes recommendations by impact and effort.

Creates automated reports with KPI dashboards, metric hierarchies, scheduled delivery, and anomaly highlighting for recurring business intelligence needs.