Headline

Product Management Intern at Intellicar

About

I turn user behavior data into product decisions. As a Product Analyst Intern at Bezu.AI, I analyzed data from 50,000+ users across chat, audio, and video experiences to find what drives activation, engagement, and retention on the AI companionship platform. What I've done at Bezu.AI: • Ran funnel and cohort analysis in Mixpanel and Amplitude to pinpoint key drop-offs and lift feature adoption • Built and maintained Power BI dashboards tracking activation, retention, and engagement across the user journey • Wrote optimized SQL queries and ran deep data dives to support A/B tests and product hypotheses • Designed and analyzed onboarding and character-discovery experiments, turning findings into roadmap recommendations • Partnered with PMs, designers, and engineers to define requirements and prioritize features I work at the intersection of analytics, product, and user experience — and I care most about teams that move fast, ship experiments, and let user behavior guide the roadmap. I'm actively seeking Product Management and Product Analytics roles. If you're building something meaningful with data and growth at its center, let's connect.

Location

Greater Bengaluru Area

AI stack

aistudio

gemini

openai

replit

Work experience

Product Management Intern at Intellicar, Jul 2026 - Present · 2 mos, Bengaluru, Karnataka, India

Product Analyst Intern at Bezu AI, May 2025 - Dec 2025 · 8 mos, - Analyzed user behavior data from 50,000+ users across chat, audio, and video experiences to identify levers for activation, engagement, and retention - Built and managed Power BI dashboards tracking acquisition, activation, engagement, retention, and monetization metrics - Wrote optimized SQL queries and ran cohort, funnel, and retention analyses to surface user trends and guide roadmap priorities - Designed and analyzed onboarding and character-discovery experiments, delivering data-backed recommendations to product managers - Collaborated with PMs, designers, and engineers to define requirements, prioritize improvements, and support feature development across the AI companionship platform

Education

Master of Computer Applications - MCA, Artificial Intelligence, Jain (Deemed-to-be University)

Professional program in data science and artificial intelligence, 360DigiTMG