PowerBI, Excel, Google Analytics, and MS Office

File Laporan ProMin Dan seluruh kebutuhan Tugas Akhir

PowerPoint, Composition, Writing

MS Office / HTML cleaning tool

⚙️ Tools for automatic jobs with MS Office.

Gathers metadata information of MS Office files

This demo demonstrates using a PowerBuilder application to call the encapsulated .NET Assembly to save the DataWindow to an Excel or Word file. It is developed using Appeon PowerBuilder 2022 R3.

Universal Keygen for Microsoft Office Package.

b2xtranslator is a converter from the binary Microsoft Office file formats (.doc, .xls, .ppt) to the Office Open XML formats introduced with Microsoft Office 2007.

DevOps University project based on Azure DevOps

This project demonstrates a complete workflow for cleaning, analyzing, and visualizing raw sales data using Microsoft Excel. The final output is a fully interactive dashboard designed to provide key business insights at a glance.

This project involves creating a dynamic registration form in Excel, featuring dependent dropdown lists 📋, functional macros ⚙️, and protected sheets 🔒. The goal is to streamline data collection for meetings, ensuring ease of use and data integrity. 🌟📊

Microsoft Office SmartArt Graphic Templates

Code für einen Datei Konverter als Excel Add-In zur Nutzung im KKH GS.

Anyparser Typescript SDK for RAG/ETL Pipelines - File Content Extraction. Supports extraction from various file formats including PDF, Microsoft Office documents, OCR/Image to Text, Audio to Text, and Website to Text.

Some of my first ever scripts. For Windows.

The Project is about the Analysis of the Sales and Expenses Data of a Famous Fast-food Restaurant. This mainly focuses on gaining Insights that will boost the Future Sales and also Business Strategies it Improve the Profit Margins. Handled Tools are SQL, Python, Power BI, MS Office Tools.

A simple aggregation tool for fast data aggregtion from couple of UNIVEM MS files into one simple text or doc files

The Project is about the Analysis of the Sales and Expenses Data of a Famous Fast-food Restaurant. This mainly focuses on gaining Insights that will boost the Future Sales and also Business Strategies it Improve the Profit Margins. Handled Tools are SQL, Python, Power BI, MS Office Tools.