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This repository contains the project materials for optimising e-commerce conversion rates through comprehensive data analysis. Leveraging SQL, MySQL, Power BI, and other tools, explore key factors influencing website performance. From data collection to actionable insights and recommendations,
This repository contains the project work completed as part of the Accenture North America Data Analytics and Visualization Job Simulation on Forage in June 2024. The project focused on analyzing and visualizing data for a social media client to uncover insights and inform strategic decisions.
Optimus is an easy-to-use, reliable, and performant workflow orchestrator for data transformation, data modeling, pipelines, and data quality management.
BENERATOR is a leading software solution to generate, obfuscate, pseudonymize and migrate data for development, testing, and training purposes with a model-driven approach.
This repository comprises the design, implementation, and analysis of a near real-time data warehouse prototype for an electronics business chain, utilising a multi-threaded Extract, Transform, Load (ETL) pipeline leveraging the efficient HYBRIDJOIN algorithm implemented with Java and MySQL on customer sales data.
Developed an interactive dashboard utilizing Google Looker Studio to analyze Uber usage patterns in NYC. Designed a robust data model and implemented an efficient data pipeline using Mage AI on GCP's VM infrastructure. Utilized Google BigQuery for in-depth analytics and leveraged Google Cloud Platform for data processing.
A high-level business summary tailored for C-suite executives, giving insights into their highest value customers segmented by sales region, providing a detailed analysis of top-performing products categorised by type against their sales targets, and a visually appealing map visual that spotlights the performance metrics of their retail outlets.