State-of-the-art data visualization for React/Next.js/TypeScript with Tailwind CSS. Creates compelling, tested, and accessible visualizations following Tufte principles and NYT Graphics standards....
Implement analytics, data analysis, and visualization best practices using Python, Jupyter, and modern data tools.
Convert between data formats (JSON, CSV, XML, YAML, TOML). Handles nested structures, arrays, and preserves data types where possible.
Assess data quality with checks for missing values, duplicates, type issues, and inconsistencies. Use for data validation, ETL pipelines, or dataset documentation.
Expert in creating charts, dashboards, and data visualizations using modern libraries
Advanced data analysis, pattern detection, and insight generation from structured and unstructured datasets
Transform CSV/Excel data into narrative reports with auto-generated insights, visualizations, and PDF export. Auto-detects patterns and creates plain-English summaries.
Query and download public cancer imaging data from NCI Imaging Data Commons using idc-index. Use for accessing large-scale radiology (CT, MR, PET) and pathology datasets for AI training or...
Process, analyze, and visualize geospatial data at scale. Handles drone imagery, GPS tracks, GeoJSON optimization, coordinate transformations, and tile generation. Use for mapping apps, drone data...
Use when processing satellite imagery, hyperspectral data, SAR imagery, or applying machine learning to remote sensing data for Earth observation. Use when "satellite imagery, remote sensing,...
Transform data and analytics into compelling narratives and presentations
Design data models with Pydantic schemas, comprehensive validation rules,
Data analysis best practices with pandas, numpy, matplotlib, seaborn, and Jupyter notebooks.
Implement the complete spec-driven development workflow from instructions through requirements, design, and implementation planning. Use this skill when starting new features or major refactorings...
Expert in statistical analysis, predictive modeling, machine learning, and data storytelling to drive business insights.
Implement strong encryption using AES, RSA, TLS, and proper key management. Use when securing data at rest, in transit, or implementing end-to-end encryption.
Data warehouse design mastery with star schema, dimensional modeling, fact/dimension tables, slowly changing dimensions, and enterprise best practices. Complete schema examples included.
Explores data in a Bauplan lakehouse safely using the Bauplan Python SDK. Use to inspect namespaces, tables, schemas, samples, and profiling queries; and to export larger result sets to files....
Creates effective data visualizations, charts, dashboards, and reports across analytics, infrastructure monitoring, and ML domains. Covers library selection, UX design, and accessibility. Trigger...
Infrastructure and practices for reproducible computational research. Covers environment management, data versioning, code documentation, and sharing protocols that enable others to reproduce your...