Total 30,768 skills, Data Processing has 1471 skills
Showing 12 of 1471 skills
Manages financial risks through quantitative analysis, modeling, and mitigation strategies.
Julia: multiple dispatch, type system, metaprogramming, Pkg, scientific computing, GPU CUDA.jl
Import/export pipeline for UnoPim. Activates when configuring imports, exports, debugging job pipelines, or creating data transfer profiles; or when the user mentions import, export, CSV, Excel, job, queue, batch, or data transfer.
Data engineering patterns for ETL pipelines, data warehousing, Apache Spark, and data quality validation
Extract business and contact information from directory pages and company websites.
Build marker gene alignments and phylogenetic trees.
Guides the contribution workflow for Apache Beam, including creating PRs, issue management, code review process, and release cycles. Use when contributing code, creating PRs, or understanding the contribution process.
Portfolio risk analysis including Value at Risk (parametric, historical, Monte Carlo), Conditional VaR, stress testing, drawdown analysis, and factor exposure assessment.
Universal AI-powered web scraper for any platform. Scrape data from Instagram, Facebook, TikTok, YouTube, Google Maps, Google Search, Google Trends, Booking.com, and TripAdvisor. Use for lead gener...
Auto-detect and fix common Excel formatting issues like merged cells, inconsistent types, duplicate headers, and encoding problems.
Analyze trends and patterns in health data over a period of time. Correlate changes in medications, symptoms, vital signs, lab results, and other health indicators. Identify concerning trends, improvements, and provide data-driven insights. Use this when users ask about health trends, patterns, changes over time, or "What's changed with my health status?" Supports multi-dimensional analysis (weight/BMI, symptoms, medication adherence, lab results, mood and sleep), correlation analysis, change detection, and interactive HTML visualization reports (ECharts charts).
OpenSearch development best practices for indexing, querying, search optimization, vector search, and cluster management