Total 50,504 skills, Data Processing has 2560 skills
Showing 12 of 2560 skills
Monitor portfolio risk, R-multiples, and position limits. Creates hedging strategies, calculates expectancy, and implements stop-losses. Use PROACTIVELY for risk assessment, trade tracking, or portfolio protection.
Analyzes pipeline coverage, tracks forecast accuracy with MAPE, and calculates GTM efficiency metrics for SaaS revenue optimization
Calculate the 'Gross Margin Proxy for Gold/Silver Mining Industry' using public metal prices and mining cost metrics (AISC/All-in Cost/Cash Cost), and determine whether the current level is in the historical high/low range.
Query Google Analytics 4 (GA4) data via the Analytics Data API. Use when you need to pull website analytics like top pages, traffic sources, user counts, sessions, conversions, or any GA4 metrics/dimensions. Supports custom date ranges and filtering.
Professional network graph analyst identifying Gladwellian superconnectors, mavens, and influence brokers using betweenness centrality, structural holes theory, and multi-source network reconstruction. Activate on 'superconnectors', 'network analysis', 'who knows who', 'professional network', 'influence mapping', 'betweenness centrality'. NOT for surveillance, discrimination, stalking, privacy violation, or speculation without data.
Use when exporting data for ad platforms (Google Ads, Meta) or working with project datasets. Documents exact CSV formats for Enhanced Conversions, Customer Match, and project data schemas.
Use to define schemas, topic tags, and lineage metadata for enriched signals.
dbt (data build tool) patterns for model organization, incremental strategies, and testing.
data-collection for evidence-based learning research and evaluation.
Compare leading tech stocks to distinguish hype-driven overvaluation from fundamentally justified pricing, and identify undervalued tech names the market is overlooking. Use when the user asks to evaluate tech stock valuations, find overvalued or undervalued tech companies, assess whether a tech stock's growth justifies its multiple, compare tech company fundamentals, analyze revenue growth vs. valuation, or identify mispriced technology stocks.
Analyzes CSV files, generates summary stats, and plots quick visualizations using Python and pandas.
Use when validating data with Standard Schema-compatible schemas or handling ValidationError results.