Industry: Media & Entertainment 

A client, a music innovation company with a mission to index all music usage and ownership data. The client is helping all different companies in the music industry better their data operations to make sure artists get paid for their plays. Every day the client delivers stunning 27 billion matches and 80 million identifications to CMOs, publishers, record labels, broadcasters and DSPs globally.

Web: n/a (under NDA)

Initiative: Crescendo 

Building a data aggregation and data analyzing system for Intellectual Property usage of music. The system is built to extract data from different sources that use music intellectual property and analyses several factors important for organizing monetization of the specific use of the specific song like time of usage, medium that used it, different authors involved etc.

Technology Stack: Python Django, Django Rest Framework, MongoDB, PostgreSQL, Elastic Search, GraphQL, Angular, Typescript

Team: 9 Team members: 1 Project Manager, 1 Technical Lead, 6 Software Engineers and 1 Quality Assurance Engineer.

Project Management: Agile Scrum, Two week Sprints.

IGA Team Extension: One team members that worked on building the back-end of the system and data aggregator with roles as Senior Technical Consultant – Software Engineering whose main responsibility was improvement and optimization of the data extraction algorithm as well increasing the efficiency of audio files analytics. 

Initiative: TV/AV – building a system that aggregates data from video usage in Television Shows from different sources. The algorithm is analyzing the data and separating the audio from the video as well as noise removal. The produced data is analyzed for intellectual property and ingested in the Crescendo system that is calculating the monetization claims based on the Intellectual Property.

Team Size: 8 Team members: 1 Product Owner, 1 Technical Lead/Software Engineer, 4 Software Engineers and 1 Quality Assurance Engineer.

Technology Stack: Python Django, Django Rest Framework, MongoDB, PostgreSQL, GraphQL

Project Management: Agile Scrum, Two week Sprints.

IGA: One team members that worked on building the back-end of the system and data aggregator with roles as Senior Technical Consultant – Software Engineering whose main responsibility was creation of algorithm for noise removal and clear audio extractions for later processing.