Data Masters is a Data Management, BI and consultancy based in Skopje and Lisbon, helping organizations across Europe, Middle East and USA build modern data platforms, enable self-service analytics, and deliver actionable insights - from advisory to data engineering and modeling to value through insights and data automation.
Customer 360 Analytics in TelecommunicationsPartnered with a major telecom provider to implement a telecom-specific self-service analytics platform to unlock faster, data-driven decisions across Sales and Marketing.
At Nortik, we’ve helped 20+ startups build SaaS products raising $150M (4 featured in TechCrunch) and supported them in scaling their software teams. Specializing in Streaming, Entertainment, and the FinTech industry, we onboard only the top 2% of engineers with a min of 3 years of experience, fluent English, and proactive problem-solving thinking.
AI-observability & machine learning monitoring platformOur main goals and deliveries included:
- Optimize the way routing was done in React application
- Optimize application usage and manipulation with query parameters
- Setup error handling layer in backend service which used Apollo GraphQL
- Create an error-handling layer in the client-side application
- Design software according to best software practices and principles
- Writing unit tests with Jest library
- Creating generic and reusable components
- Setup various linters and modify es-lint rules
- Writing micro frontend in Ruby for authentication service
Marble IT was created as a fusion of web, mobile and gaming expertise to create a more diverse, knowledgable work environment while driving the movement of app gamification and evolving the web into 3D game-like spaces. We support team diversity, individualism and honesty. That's why we focus on freedom and maximum efficiency for everyone.
Redefining Traffic Monitoring: Elevating ML Accuracy with Advanced 3D SimulationsOur Client monitors traffic using cameras on highways and city crossroads, generating data for their ML system to recognize vehicle types. However, performance dropped in low light and bad weather, and the system lacked varied angles and setups. It also failed to distinguish sub-types of vehicles, grouping all trucks together and missing specific types like tow trucks and emergency vehicles.
How do we improve the system?