Develop Of Analytics Tracking Pipeline For Data Collection And Visualisation (Marketing, Hr)
Developed a Python-based project leveraging AI and Machine Learning to collect data instances from agents and games.Created seamless data exchange mechanisms between the prototype and the data storage system.Collaborated on multiple GitHub projects integral to the final solution.Utilized the MLFlow platform to analyze, collect, and monitor the results of each run.Focused on multi-stage open-ended training of reinforcement learning agents, utilizing various training instances.Administered analyses of simulations and technological approaches to multi-stage training.