Strategic Media Leadership: Spearheading the Media Division at the Sports Authority of India (SAI), overseeing all aspects of media management and strategic planning.Team Management: Directly managing a team of 25+ professionals across various media verticals, ensuring seamless operations and fostering a collaborative work environment.Multichannel Media Management: Managing Social Media, Print Media, Digital Media, and Outdoor Media channels to effectively communicate SAI's initiatives and engage with stakeholders.Audience Reach and Engagement: Directly responsible for managing 3 official SAI accounts, collectively reaching over 6 million followers across different platforms.Key Event Coordination: Acted as the Point of Contact for the successful execution of the Khelo India Games 2023, orchestrating branding, outdoor publicity, and media amplification efforts.Strategic Planning for Major Events: Currently leading the development of the Olympics 2024 strategy, focusing on optimizing team structures and planning future media activities to maximize impact.

Machine Learning Expertise: Applied various Machine Learning techniques including Gaussian Mixture Models (GMM), K-Means, xgBoost, and Random Forest to solve complex business problems.Programming Proficiency: Proficient in Python, R, and SQL for data analysis, model development, and database querying.CRM & Digital Marketing Collaboration: Collaborated closely with CRM and Digital Marketing teams to develop customer segmentation strategies and improve marketing effectiveness.Customer Segmentation: Developed and implemented customer segmentation modules for diverse brands within Alshaya, managing a customer base of over 1 million.Business Intelligence Leadership: Led the setup and implementation of the Business Intelligence tool, Qlik Sense, leveraging Alshaya's big data facilities and leading the Data Analytics team.

Machine Learning & Neural Networks: Leveraged advanced techniques in Machine Learning and Neural Networks to drive insights and develop algorithms.Recommendation Algorithm Development: Conceptualized and developed an algorithm to recommend potential companies to users using R, SQL, and VBA.Deep Neural Network Feature Extraction: Utilized Deep Neural Networks to extract data features from the career timelines of over 500,000 professionals, enhancing the algorithm's accuracy and effectiveness.Business Connections & Interviews: Established and nurtured business connections, conducting interviews with professionals to gather data on their career timelines and career paths, contributing to the creation of robust datasets for algorithm development.