I utilize data to help businesses make informed decisions while keeping privacy as the top priority. • Working as a customer success engineer at Habu to make the clients comfortable with data clean room adoption and showcase the value of privacy-safe data collaboration. • Worked as a data science team lead at MightyHive/Media.Monks • Worked as a digital analytics specialist at Time Inc • Worked as a business analyst in the consumer insights domain for 5 years at Accenture • MS in Marketing Intelligence and BS in Computer Science • Google Cloud Certified Professional Cloud Architect • Amazon Marketing Cloud: Clean Room Analytics Practitioner Speaking Engagements: 1. Ad World Conference (May 2022): I talked about the need and rise of data clean rooms, different types of data clean rooms, and their current and proposed capabilities. Overall, the talk discussed the problems with web 2.0, the mindset we need to keep moving forward, and how web 3.0 inherently solves digital and consumer privacy at large. Link: adworldconference.com (one-time pass available for purchase to watch all the recorded sessions) Dates: 2-3 May 2022 Track: The Future of Advertising Session Topic: Preparing Web 3.0 Marketers For A Privacy-First Future Using Data Clean Rooms 2. Alldus AI in Action Podcast (June 2021): I talked about business transformation, privacy-first data strategy, and digital media services, and how MightyHive is disrupting digital and data transformation for its clients. Link to the podcast: https://alldus.com/blog/podcasts/aiinaction-puneet-gangrade-mightyhive/ Link to my profile on Alldus: https://alldus.com/blog/tag/puneet-gangrade/ 3. Data Science Salon (Sep 2020) - Applying AI & Machine Learning to Media, Advertising & Entertainment Topic: Optimizing Media Frequency Using Google Ads Data Hub and Differential Privacy Link to my profile: https://www.datascience.salon/puneet-gangrade-3/ Video of the talk: https://www.youtube.com/watch?v=yB3FlMmgjBY 4. Google Data & Analytics Summit 2018 (GMP and GCP Partners Conference)