A Re-do of Perth City Properties project using Azure Data Engineering technologies such as Azure Data Factory (ADF), Azure Data Lake Storage Gen2, Azure Blob Storage, Azure Databricks.

Streamlit app to manage PDF files in Azure Blob Storage: upload, display, and download seamlessly.

End-to-End Data Analytics Project covering ETL (Python + Azurite), MySQL data modeling, and interactive Power BI dashboards. Features:

Extract data from SQL Server, input in a CSV file, and upload to Azure to be consumed by Power BI.

River: an AI Environmental Expert. A RAG-based chatbot application designed to assist a Regional Council with data, documentation, and reporting regarding invasive species management. The application features integration with Slack and leverages tools from LangChain, OpenAI, Pinecone, and Azure Blob Storage.

Real Time Stock Prediction Using ML, Azure services, Blob storage and yfinance API.

Amazon Customer Lifetime Value (CLV) Analysis This project demonstrates an end-to-end analytics workflow for analyzing Customer Lifetime Value (CLV) using: Python – MySQL. Power BI . Azure (Azurite)

Project Description: This project analyzes Tesla’s financial growth and stock performance from 2015 to 2024 using simulated real-world data. Python was used to generate and clean the dataset, while SQL helped extract key insights like revenue trends and profitability. The final interactive dashboard was built in Power BI,

DIO LAB001 Challenge | Storing E-commerce data in the cloud

A complete end-to-end data analytics pipeline for unicorn startups, built for MAANG-style business decision-making. This project uses Python to clean and transform raw startup data, automates staging in Azurite cloud and MySQL, and delivers interactive, drill-through dashboards in Power BI.

This repo explains the importance of integrating azure databricks with azure machine learning. Explained in a whole easy way to accomplish it.

DropDash is a Django-based web application that allows users to upload files securely to Azure Blob Storage and generates a time-limited SAS (Shared Access Signature) URL for the uploaded file.

Integration of Covid-19 data utilising Azure Data Factory to perform data ingestion, transformation and storage activities. The goal of this guided project was to become familiar with Microsoft Azure technologies, including; Azure Data Factory(ADF), Azure Data Lake Storage Gen2, Azure SQL Database, Azure Blob Storage, Dataflow, Databricks, etc.