Skill: AI data analyst

Purpose

Perform comprehensive data analysis, statistical modeling, and data visualization by writing and executing self-contained Python scripts. Generate publication-quality charts, statistical reports, and actionable insights from data files or databases.

When to use this skill

• You need to analyze datasets to understand patterns, trends, or relationships.
• You want to perform statistical tests or build predictive models.
• You need data visualizations (charts, graphs, dashboards) to communicate findings.
• You're doing exploratory data analysis (EDA) to understand data structure and quality.
• You need to clean, transform, or merge datasets for analysis.
• You want reproducible analysis with documented methodology and code.
• You are performing Convex Backend Engineering (schema design, query optimization, log analysis).

Key capabilities

Unlike point-solution data analysis tools: