ETL Pipeline for Sales Data
Designed an ETL pipeline to ingest and transform sales data, enabling real-time revenue insights.
Welcome to the Hub
In Computational Data Science and Engineering
at North Carolina A&T State University.
Research has been done in the spaces of computer vision, remote sensing, natural disaster damage assessment, semantic segmentation, facial recognition, machine learning, UPPAAL, cyber physical systems, cloud computing, cybersecurity, and tropical matrices.
My Github portfolio covers projects relating to front-end development, back-end, full stack, scripting, software design patterns, and data engineering. Below are a few highlighted projects.
Designed an ETL pipeline to ingest and transform sales data, enabling real-time revenue insights.
App that provides live weather, crypo prices, date and time data. Built using React.
Developed a real-time dashboard analyzing COVID-19’s socioeconomic impact using live data feeds.
Built a predictive clustering model to classify customers, improving targeted marketing by 20%.
Do not hesitate to get in touch towards collaborations or any queries.