Power BI REST API custom functions
Power BI REST API Connector - Admin Version
Pure Power Query M readers for binary file formats. SQLite, Access, dBASE/FoxPro, .xls/.xlsb, SPSS, Stata, MATLAB, Avro, EVTX, GeoPackage, MBTiles — read them in Power BI, Excel and the Service with no ODBC driver, no ACE, and nothing to install.
A library of Power Query functions & reference data
Read-only Power BI PBIP/PBIR assurance and metadata review tool.
My public library of reusable functions, scripts, code snippets, and utilities I have written in PowerQueryM language
A framework for converting high-volume operational documents into structured, searchable, and actionable information through automated extraction, matching, classification, and routing.
Sales analytics system tracking performance, customer concentration, and stockout risk across 200+ healthcare facilities and 4 product lines
A Power Query connector for retrieving data from an OpenAPI (Swagger) specification that uses Bearer authentication
Run, lint and format Power Query M without Power BI. Executes a .pq query end to end on local CSVs in pure Python - like pandas for Power Query - plus a linter, formatter and safe rename for .pq, .pbix and .xlsx.
Instantly transform default Power Query steps to improve code readability.
Production-grade sharepoint-based sales pipeline for learning purposes
Proyecto académico desarrollado en Power BI Desktop para la evidencia AA2-EV03 del programa Aplicación de la Inteligencia Artificial en la Integración de Datos del SENA.
Consulting workforce analytics project focused on headcount, utilization, bench, attrition, hiring, promotions, engagement, and workforce trends, with secured role-based access and validated reporting designed for HR, resource management, and business leadership.
Monthly reconciliation tool comparing temp staff hours (client badging system vs staffing agency invoices) with Excel Power Query. Auto-detects the period, flags under/over-billing. Built during an internship; data anonymized.
An interactive Dashboard for coffee sales from 2019 to 2022 using Excel, Power Query, and Power Pivot with UI/UX principles.
Semi-auto algorithmic trading project using power query in excel
Quickly convert between tabular data and DAX or M dynamic tables.
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