In this project, we worked with Flynn Restaurants Group on creating a consolidated platform for their Data Warehouse. Additionally, we provided best practices for building new Azure Resources, Security, and Data Factory. Using a combination of Azure Data Factory and Azure SQL Server we assisted in the creation of an import process of data from Taco Bell into a single data model to be used for reporting.
This is a Zig internal project in which we wrap various Mobile Money processing services around a single project. These include Airtel Money, MTN Money, and ECOBANK's mastercard payment services.
In collaboration with Data Consumed, the aim for this Project was to develop a Proof of concept around Candor Analytics from documents for Rittenhouse. They needed to extract all sorts of analytics from their reports, such as Sentiments, Topics being discussed, and most importantly, Condor; which would then be used to help investors make the right decisions in which business to invest in to depending on the Condor extracted from the said documents.
Yet another internal Zig Project. We built a deep learning model using Transfer Learning with Pytorch and got above 90% accuracy. We then built a Simple Flask api to expose the learned model to web apps to accept images as input through an HTTP Request. Both Notebook and API are attached.
This provides a service of processing multi-currency payments for our ZigOps Payroll system
This is a Zig internal project that lets you manage payroll, leave-request and employee onboarding processes easily and effectively whether your workforce is onsite or remote.