Vincent fofou

💡 UCB Campaign -Designed and implemented an ETL pipeline to extract and transform campaign codes from AWS S3 and load them into AWS DynamoDB. -Defined and integrated models using Django ORM. -Designed and created a Data Mart to support analytics. -Built reporting dashboards for business insights. -Conducted database design/modeling and overall system architecture. -Developed a random winner selection algorithm for campaigns. -Managed testing, reviews, and quality assurance. 💡 Conference Management System -Implemented an ETL migration pipeline to migrate existing data from MySQL to PostgreSQL. -Designed and modeled the relational database. -Delivered data analytics and visualization dashboards to support decision-making. 💡 Anti-Discrimination Reporting Platform -Designed and implemented a dedicated Data Mart. -Built a reporting system to manage and monitor discrimination case reports 💡 Kaeyros Data Project -Designed end-to-end data pipeline architecture. -Implemented the Medallion Architecture (Bronze, Silver, Gold layers) for scalable data management. -Deployed pipeline orchestration for automation and monitoring. -Set up VPC (Virtual Private Cloud) to ensure network security and isolation. -Designed and modeled a Data Warehouse. -Deployed data pipelines and delivered KPI dashboards for performance tracking. 💡 Pakazure -Designed and implemented ETL pipelines and scalable data pipeline architecture. -Provided Technical Project Management, including stakeholder coordination and delivery oversight. -Supervised testing and quality review processes. -Built reporting dashboards to support business decisions.

●Mathematical modeling and problem formulation for security in a smart urban environment. ● Development of an intelligent and simultaneous analysis pipeline for multiple video streams in a scalable multi-camera environment, leveraging state-of-the-art computer vision techniques and advanced multi-threading technologies. ● Implementation of a use case for anomaly detection in a smart city to enhance security decision-making. ● Implementation of CI/CD pipelines ●Development of an intelligent software solution for an in-depth understanding of human behavior, integrating key indicators for proactive action

●Development and deployment of an automated financial transaction data analysis pipeline, facilitating real-time and efficient decision-making.

There we have worked on very exciting ML project OCR and indexation