Jan 2023 – Feb 2024 · 1 yr 1 mo · Remote

• User Analytics: Leveraged business acumen to align user analytics in sports/entertainment, maximizing the priority of sales and customer engagement. Conducted product analytics for a video creation dashboard, identifying trends and user behaviors across various sporting/entertainment categories, resulting in a 30% improvement in a specific area of product performance.
• Hypescore Methodology: Played a crucial part in creating Hypescore methodology, a dynamic model for diverse sports. Crafted a strategic framework to identify high-impact moments, optimizing engaging social media posts and enhancing brand visibility.
• Machine Learning Models: Played a crucial role in analyzing and evaluating machine learning models, contributing to an additional 20% enhancement in model accuracy and performance.
• Ad-hoc Projects: Led frequent ad-hoc analytical projects and building dashboards, contributing to a 90% overall improvement in tracking models (9:16 ratio videos) and an 87% overall improvement in event-identifying models.
• Cost Optimization: Analyzed and optimized streaming/storage costs and capacity, customizing solutions based on client needs and sports dynamics. Implemented strategic adjustments, reducing costs and enhancing efficiency.
• Documentation: Developed Product Requirement Documents (PRDs) and Quality Measurement Documents (QRDs), streamlining the AI product development process as well as Ops (manual) involvement in meeting client expectations.
• Market Research: Performed extensive market research on Sporting Highlights, emphasizing user engagement metrics. Authored strategic documentation detailing content creation directives and delineating the optimal utilization of AI models.
• Roadmap Development: Delivered a roadmap aligning with business objectives, elevating technological infrastructure for enhanced model optimization, Ops efficiency, and user satisfaction.