Mukeshwar Braria

Define the vision and direction for Data Science & BI Analytics function by bringing together business and functional leaders, & data engineers to drive success. Plan, design, develop (end-to-end) machine/deep learning and BI solutions. Manage features, functionality and scope of the machine/deep learning and big data analytics BI projects. Work on PoCs. Understand and frame business problems into scalable solutions by leveraging the state-of-the-art machine learning and big data analytics architecture.

Responsible for the planning, designing, development (end-to-end) of machine/deep learning and BI analytics solutions. Communicate results and educate others through BI reports, dashboards and presentations. Drive client engagements focused on machine learning and articulate the road map. Partner with senior leaders, stakeholders and clients to drive best practices for managing and bridge the performance gap across them. Integration with big data platforms like AWS. Azure and Google Cloud.

Exposure to all areas of Machine Learning and expertise in unsupervised and supervised techniques, active learning, transfer learning, neural models, graphical models, Gaussian processes, Bayesian models. Plan and lead end-to-end Analytics and BI implementations. Requirement gathering and formulation of business logic to provide solutions. Interact with clients, business analysts and key business users on day-to-day basis to gather, formulate and validate business cases to provide solutions.