Build robust and scalable data architect solutions for big data and spatial data
Transform data into useful entity which could add value and veracity to data
Build analytical and predictive models through machine learning and AI algorithms
Develop intelligent systems and applications using ML and AI models in the fields of NLP, Computer vision and other related domains
Enhance data driven decision making with insights and inferences generated through business intelligence dashboards
Enhance data archival, data sharing and dissemination mechanism
Enhance data privacy guidelines and ensure seamless exchange and use of data across stakeholders with control processes
Facilitate and support other Data Science activities implemented by stakeholders and academic institutions