Aakarsh Singh

Progressed from Associate to Senior Manager, leading multiple product launches and commercial growth initiatives that generated £3.8M+ revenue. Combined product strategy, analytics, and market expansion responsibilities across four roles. Owned end-to-end launch of new AI-enhanced learning products, partnering with content, design, and data teams to improve student engagement and learning outcomes. Drove AI-enhanced learning product launches that improved student engagement and raised regional revenues 15 % YoY. Partnered with analytics and engineering teams to create a “Learning Pattern Analyzer” using GPT and Python to summarise student feedback and propose feature updates. Designed AI-enabled dashboards for product metrics (engagement, completion, retention) that replaced static reports with live insights for 1,000 + stakeholders. Defined GTM strategy for 5 markets, leveraging predictive analytics to prioritise content modules, improving adoption by 22 %. Mentored 20 + associates, embedding AI-first workflows (Prompt Libraries, automated competitor scans, and generative UX testing) across teams.

Drove the roadmap for AI-enhanced learning products used by 1M+ students, improving engagement and learning outcomes by 25%. Designed an AI-based “Student Insight Dashboard” that visualised performance and sentiment data, enabling faster iteration of content modules. Collaborated with design, engineering, and content teams using Agile and Scrum frameworks to deliver user-focused product releases. Optimised retention strategy by running A/B tests and feature experiments, reducing churn by 10% while increasing daily active users by 20%. Built automated feedback summarisation pipelines using GPT models, helping the product team quickly translate 10,000+ student comments into actionable insights.

Supported the end-to-end development and release of AI-enabled digital learning modules, achieving a 15% YoY rise in engagement and retention. Conducted in-depth user research and competitive benchmarking to inform the product roadmap and UX enhancements for BYJU’s flagship learning app. Developed a prototype “AI Learning Path Recommender” using GPT APIs and student performance datasets, improving adaptive content accuracy. Partnered with senior PMs and engineers to design onboarding experiments, increasing new-user activation by 12%. Created SQL-based and Tableau dashboards for product KPIs, enabling real-time visibility of engagement, conversion, and satisfaction metrics. Contributed to product strategy meetings with leadership, aligning AI features with GTM and growth objectives across regions.