Trackingplan helps scaleups and enterprises to fix errors in their Analytics, Marketing or Ads integrations so that they can benefit fully from these tools and the resulting data. For example, by sending them a real-time alert when an event is missing or out-of-spec data is sent due to a new software release.You can set up Trackingplan literally in 1 minute.Trackingplan documents all the data that flows between your sites and third-party integrations, whether these are analytics, marketing automations, pixels or campaigns. This allows you to improve the quality of your data, find and address any issues, and trust the data that guides your business.From the beginning, you get:- Alerts for broken events, inconsistent naming, wrong or missing properties, offline UTMs...- An always up-to-date list with all events and pixels you currently track- Detect missing pixels or tags on pages- Attribution reports across users and eventsWe're backed by Y Combinator and we already help Zapier, Typeform, Freepik, Unity, Spotahome, Zara and other fast growing and traffic intensive companies.

Center of Competence in Data Analytics & AIFields: Object detection and image segmentation for security body scanners. Design and development of Machine- and Deep Learning algorithms using mmWave radio technology.Activities: Design and development of ML/DL algorithms with strict security and performance requirements. Internal promotion and evangelization of ML/DL best practices, tools and methods among other development teams. Consultancy services for product teams including MSc. Thesis project reviews, feasibility reviews of R&D project proposals, and technical assistance in existing projects.

Data Intelligence Lab - Mobile Network TestingFields: Development and production launching of ML use cases for Mobile Network Testing. Project management. Customer collaborations.Activities: Definition, design and development of ML use cases. Project leader of a development team of four engineers, managing internal and external collaboration and reporting to stakeholders from PM to Sales and Operations. Represented the team's work publicly in front of customers at MWC 2019 and customer visits. Team expansion and recruiting.

Data Intelligence Lab - Mobile Network TestingFields: Applied Machine Learning and Deep Learning for Mobile Network Benchmarking and OptimizationActivities: Setting up a development team from scratch to build ML/DL algorithms and launch them in production along an existing software with a microservice architecture. Establishing and evangelizing best development and collaboration practices to ensure high quality, maintainable and readable code. Promoting tools and methods to enable remote and asynchronous work.

Google Research EuropeFields: Conversational Assistant, Dialogue and Natural Language Generation

Google Research & Machine IntelligenceFields: Dialogue and Natural Language Generation

Domotics and Ambient Intelligence GroupFields: Computer Vision, Machine Learning, Activity Recognition, Gait Analysis, Assisted Living

Domotics and Ambient Intelligence Group

Project: Real-time Computer Vision on Mobile DevicesFields: Computer Vision, Pattern Recognition, Machine Learning, Image Processing, Mobile Development

Research collaboration stay in the Digital Imaging Research Centre (DIRC) of Kingston UniversityFields: Computer Vision, Depth Sensors, Vision-based Activity Recognition

Excel Test Team (Office, DBI)Fields: Testing and validation, Design, Scenario-focused Engineering