Prasad Ambekar

Marketing Strategy and Consumer Insights professional with 3+ years of experience partnering with global brands to solve marketing challenges through consumer intelligence. Experienced in translating search behaviour, social listening, and AI-driven insights into strategic recommendations that strengthen brand positioning, uncover growth opportunities, and inform business decisions across 10+ markets. Passionate about combining analytics, emerging AI technologies, and strategic thinking to help brands better understand consumers and stay ahead of market trends.

Consultant – Digital Analytics at Kantar Analytics (2023-08 – Present)

• Collaborated with Product and Engineering teams to test and refine Kantar's first AI-powered Social Landscape solution, successfully delivering its first client implementation within a two-week timeline.
• Delivered 40+ multi-market consumer insights engagements across 10+ markets for 15+ global brands, translating search, social, and AI-driven insights into strategic marketing recommendations.
• Led a multi-market BrandDigital engagement for a leading global airline, analysing search behaviour, brand performance, and competitive positioning to inform marketing strategy.
• Delivered AI Signals analyses by evaluating brand positioning across leading generative AI platforms, providing actionable insights into competitive visibility, consumer discovery, and category trends.
• Designed social listening frameworks for global brands, analysing 200K+ consumer mentions per engagement to uncover consumer sentiment, product feedback, whitespace opportunities, and emerging trends.
• Conducted digital market landscape studies to identify consumer trends, whitespace opportunities, and competitive intelligence, enabling strategic planning and brand positioning for global brands.
• Redesigned the AI-driven BrandDigital relevance workflow, reducing manual effort by ~95% and significantly improving delivery efficiency.
• Automated an Excel-based workflow using Python and machine learning, improving data classification accuracy and reducing manual processing time by up to one day on large-scale projects.
• Managed client relationships, mentored junior analysts, and earned client recognition for successfully delivering a complex Arabic-language Social Landscape project with minimal iterations and on-time execution.

MBA – Indian Institute of Management Bodh Gaya (2023)

BE in IT – Vasantdada Patil Pratishthan's College of Engineering & Visual Arts (2021)