About

Smit Srivastava is a highly skilled Technical Program and Product Manager with expertise in Data Science, Machine Learning, and Natural Language Processing. He holds a Master of Business Administration degree from IE Business School and has completed a Master's degree program in Artificial Intelligence from Simplilearn. With almost 10 years of relevant experience, Smit has an impressive track record of delivering successful projects and products for various organizations. Currently working as a Technical Program and Product Manager at Madras Global, Smit has developed a successful process for working remotely during the COVID-19 emergency resulting in seamless project executions and on-time delivery. He has also contributed to the strategic discussion for the vision of the organization and developed and delivered a product roadmap to achieve the organization's vision, which has acquired four new customers. Smit has led nine projects for an Ad-Tech product domain and 11 cross-functional teams of 55 software developers and QA, working on diverse technologies. He has also re-initiated and led the Data Science and RPA product division. Smit has developed project management processes to handle complex data science projects, reducing spillovers from 80% to 20%, and increasing team morale. He has also led Machine Learning projects end-to-end, from use case proposal to model deployment, to reduce operational costs and increase revenue for the customer. Smit has managed project timelines, tasks, and development efforts with both the internal engineering team and customer teams, ensuring 100% on-time product delivery. Smit has implemented JIRA as a project management tool for complex projects from scratch, reducing manual effort and saving 5 lakhs per year. He has also restructured the change management process to minimize scope creep, schedules overrun, and budget controls. Smit has established various agile practices and processes to increase the productivity and predictability of the team and automated various steps to minimize human error and effort. He has customized Agile Scrum as per the organization's needs and to have maximum resource utilization, increasing resource utilization by 25%. Smit has worked closely with teams, stakeholders, and management to identify issues and escalate unresolved issues if required and communicate decisions to stakeholders. He has received multiple in-house awards within the first year of joining Madras Global. Before joining Madras Global, Smit worked as an Analytics Consultant for AESA - Agencia Estatal de Seguridad Aerea, where he researched and acquired aviation data, used data analytics to find out bottlenecks and problem areas in runway utilization,