Enterprise user management system with AI-powered analytics for risk detection, burnout analysis, and predictive insights
原文の言語: 英語
メニュー
SkillsMP は Aradotso/data-skills から 90 件の skill を収集しています。skill を開くとソースと詳細を確認できます。
収集済み skill 90 件中 40 件を表示しています。
Enterprise user management system with AI-powered analytics for risk detection, burnout analysis, and predictive insights
原文の言語: 英語
Production PySpark ETL pipeline with AWS S3, PostgreSQL, schema validation, data quality checks, and automated testing
原文の言語: 英語
Build and customize a web-based digital banking dashboard with HTML, CSS, and JavaScript for financial tracking and analytics
原文の言語: 英語
Terminal analytics dashboard for tracking Hyperliquid DEX top traders by PnL, ROI, and performance metrics
原文の言語: 英語
Full-stack user management system with AI-powered analytics for task tracking, ticket management, and predictive insights
原文の言語: 英語
Full-stack user management system with AI-powered analytics, task tracking, and intelligent ticket routing
原文の言語: 英語
Platform-neutral analytical skill that profiles messy data, selects case-adaptive methods, and produces source-backed visual reports for high-stakes decisions
原文の言語: 英語
End-to-end batch data pipeline with Snowflake, dbt, Airflow, and OpenAI for food delivery analytics
原文の言語: 英語
Build production-grade local RAG pipelines with BM25 search, hierarchical chunking, and retrieval evaluation from Nahid's hands-on roadmap
原文の言語: 英語
End-to-end analytics platform using Microsoft Fabric with Lakehouse, Dataflow Gen2, PySpark notebooks, and Power BI following Medallion Architecture
原文の言語: 英語
End-to-end Python and MySQL data engineering pipeline with OOP analytics library for cryptocurrency price data
原文の言語: 英語
SEO automation and traffic diagnosis using Google Search Console, GA4, and Bing Webmaster APIs
原文の言語: 英語
Full-stack user management system with AI-powered analytics for risk detection, burnout analysis, and predictive insights
原文の言語: 英語
Master the CommerceVault middleware for Easy Digital Downloads API integration, sales analytics, order management, and digital product orchestration.
原文の言語: 英語
MCP server for Easy Digital Downloads API integration enabling sales analytics, product management, and order orchestration
原文の言語: 英語
Master the CommerceVault middleware for Easy Digital Downloads API integration, sales analytics, and digital commerce orchestration
原文の言語: 英語
Build interactive Power BI sales dashboards with regional analysis, profit tracking, and predictive insights using the SalesPulse 360 framework
原文の言語: 英語
Master the SalesPulse 360 Power BI retail analytics dashboard for profit analysis, regional insights, and predictive sales forecasting
原文の言語: 英語
Power BI retail sales dashboard for multi-dimensional profit, regional, and sales analysis with predictive insights
原文の言語: 英語
Deploy and customize the SalesPulse 360 Power BI retail analytics dashboard for profit, regional, and sales performance analysis
原文の言語: 英語
MS SQL Server & Power BI data warehousing solution for logistics intelligence with multi-fact star schema and fleet optimization
原文の言語: 英語
Dashboard tool for analyzing YouTube channel metrics including views, watch time, subscriber growth, revenue, and audience demographics with real-time data visualization.
原文の言語: 英語
Track and analyze Telegram group activity with member growth, message stats, engagement metrics, and automated daily/weekly reports
原文の言語: 英語
Track and analyze Telegram group activity including member growth, message counts, engagement metrics, and generate automated reports
原文の言語: 英語
Expert at implementing and customizing the SalesPulse 360 Power BI retail analytics dashboard for sales, profit, and regional analysis
原文の言語: 英語
Build ETL pipelines and analytics dashboards for Harvard Art Museums API data with Python, SQL, and Streamlit
原文の言語: 英語
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL workflows, SQL analytics, and Streamlit visualization.
原文の言語: 英語
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with SQL storage and Streamlit visualization
原文の言語: 英語
Build ETL pipelines and analytics dashboards using Harvard Art Museums API data with Python, SQL, and Streamlit
原文の言語: 英語
Build ETL pipelines and analytics dashboards using Harvard Art Museums API with SQL storage and Streamlit visualization
原文の言語: 英語
End-to-end data engineering and analytics application using Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
原文の言語: 英語
Build end-to-end data engineering pipelines with Harvard Art Museums API, ETL, SQL analytics, and Streamlit dashboards
原文の言語: 英語
Build end-to-end data engineering pipelines with the Harvard Art Museums API, ETL processes, SQL analytics, and Streamlit visualization
原文の言語: 英語
End-to-end data engineering and analytics application for Harvard Art Museums API with ETL pipelines, SQL analytics, and Streamlit visualization
原文の言語: 英語
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Streamlit, MySQL, and Python
原文の言語: 英語
Build end-to-end data engineering pipelines using Harvard Art Museums API with ETL, SQL analytics, and Streamlit visualization
原文の言語: 英語
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語
Build ETL pipelines and analytics dashboards using the Harvard Art Museums API with Python, SQL, and Streamlit
原文の言語: 英語