The MYDST (Managing Your Dynamic Service Timetable) project was sponsored by the Department of Science & Technology (DST), Government of India, in collaboration with Kochi Metro Rail Limited. It focused on building an Intelligent Data Analytics Platform to improve passenger flow management and service efficiency.

Key contributions:

• Real-time analytics from Automatic Fare Collection (AFC) data
• Passenger flow forecasting using deep learning models (LSTM)
• Design of a robust Hadoop–Spark cluster with Django REST APIs
• Interactive dashboards for metro operators

My Role

As a Senior Research Fellow, I:

• Led the design and development of the distributed analytics system
• Integrated predictive models using Python, Hadoop, and Spark
• Managed data pipelines and visualizations for operational insights
• Collaborated with Kochi Metro Rail for live data and deployment testing

Key Technologies

Python · Hadoop · Spark · Hive · LSTM · Django REST · Big Data · Cluster Computing