Mobile game analytics platform
Tomáš Daneshjo
Developed a comprehensive platform used by data scientists for game data analysis and machine learning model training. Key features included:
Data Sourcing: Integration of multiple data sources such as Google Play, Apple Store, TikTok, Mintegral, and data.ai.
Pipeline Orchestration: Enabled data scientists to create and schedule pipelines for retrieving data from various sources and processing it through ML algorithms.
Visualization: Supported finance and game management teams in visualizing metrics and predictions.
The platform facilitated extensive data integration, streamlined pipeline management, and provided critical insights for various stakeholders.
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Posted Jul 16, 2024
Developed a comprehensive platform used by data scientists for game data analysis and machine learning model training.
