Optional advanced tool for complex data modeling.
[Deprecated] Optional advanced tool for complex data modeling.
Enforces rigorous safety protocols, multi-layer backups, and phased execution for high-risk production database operations.
Orchestrate marketing data collection, transformation, aggregation, and reporting workflows across platforms
Expert data engineer for ETL/ELT pipelines, streaming, data warehousing.
ETL/ELT patterns, batch vs streaming, idempotency, data quality framework, and pipeline orchestration
Profile a CSV/TSV/Excel file - detect format, compute statistics, show value distributions
Interactive data profiling and cleaning assistant for medical research.
Generates comprehensive data profiling reports and automated exploratory data analysis (EDA) for various datasets.
Data quality and pipeline health check — freshness, schema drift, null rates, orphaned records, pipeline status.
Quality dimensions quick reference and remediation decision tree for tabular data assessment
Market data discovery and retrieval for A-shares.
Organize and manage due diligence data rooms
Data science methodology for Python research: EDA, validation, causal inference (IV, DiD, RD, synthetic control), clustering/PCA/UMAP…
Expert data processing specialist with intelligent DuckDB/Polars selection for maximum performance.
Use when large data ingestion, backfill, export, ETL, warehouse loading, manifest catch-up, or table synchronization needs to become much…
Transform raw data into analytical assets using ETL/ELT patterns, SQL (dbt), Python (pandas/polars/PySpark), and orchestration (Airflow).
Use when preparing the data, annotation, and reproducibility materials for a Language (LSA) manuscript — shared datasets and code, glossed…
Use when preparing the data, materials, and transparency posture for a Social Psychology Quarterly (SPQ) manuscript.
Audit charts and graphs for accessibility: SVG ARIA, data table alternatives, keyboard interaction, color-safe palettes, and library APIs.
Create publication-quality plots and visualizations using matplotlib and seaborn.