Dealing with the Operational teams from client side. This may include interactions with the
Operations, Sales, Markting and IT heads from client side. It includes following key aspects: o Communicating and understanding clearly what are the business-data challenge o Culturally sensitizing the client side for being open to sharing and using data for solving problems and letting machines take certain decsions using AI. o Knowing the art of identifying what data needs to be extracted/ used for solving a particular challenge. o Designing a consumption layer for the client to consume the final delivered solution o Explaining the clients what the solution is doing behind the curtains in a very simplified manner.
Dealing with Data Science Vendors \xe2\x80\x93
o Summarizing the business-data challenge to them and giving clear deliverables o Timely interfacing with the vendors in resolving their asks and queries. o Testing and verifying their deliverables and refining them. o Maintaining a healthy relationship with key vendors
Managing internal project team and Science behind projects \xe2\x80\x93
o Managing analysts on the project- work distribution and timeline planning for the projects, training and guiding the analysts o Designing the frameworks in data sciences (R, Python, Azure ML, Amazon ML, Google ML, Spark etc) to be used for relevant projects o Choice of Data and Machine learning algorithms to solve a particular problem
Creating Data Strategy roadmaps for businesses in the long term. Creating "post project
delivery way forward" for ensuring sustainability of data science solutions delivered.
Being aware of the world-class and most recent advances in data science areas and having
ready references to the best methods in the data science fraternity
Displaying thought leadership on social media on all things data science
Proactively identifying applications and ideas of using data science across Mahindra Finance
Helping other teams at MMFSL for consultations on data expertise