AI in Action E221: Puneet Gangrade, Data Science Team Lead at MightyHive
Welcome to episode 221 of the AI in Action podcast, the show where we break down the hype and explore the impact that Data Science, Machine Learning and Artificial Intelligence are making on our everyday lives.
Powered by Alldus International, our goal is to share with you the insights of technologists and data science enthusiasts to showcase the excellent work that is being done within AI in the United States and Europe.
Today’s guest is Puneet Gangrade, Data Science Team Lead at MightyHive in New York. Founded in 2012, MightyHive is the leading data and digital media consultancy that helps marketers take control. MightyHive delivers sustained results from the ground up through advisory for business transformation, privacy-first data strategy and digital media services. MightyHive is trusted by brands like Autodesk, Bayer, Electrolux, Renault, Sony, Sprint, TransUnion and US Bank to name a few.
Puneet manages and implements clients’ global portfolios for their complete digital transformation. His responsibilities include building end-to-end data warehousing systems in different cloud platforms (GCP, AWS, Azure), using the privacy-safe platform (Google Ads Data Hub) for KPI-driven analysis, utilizing the advertising, on-site analytics, and other data to look beyond the numbers, and bringing machine learning into action for all his clients.
In today’s episode, Puneet tells us about:
Helping companies build an effective digital transformation strategy
Challenges the Data Science team are solving in industry
The importance of working effectively with stakeholders
How new data privacy laws will impact their offerings to customers
What he enjoys most about working at MightyHive
Exciting opportunities within the team
To find out more about Puneet and all the great work happening at MightyHive, check out the website www.mightyhive.com or follow them on Twitter @mightyhive. You can also connect with Puneet on Linkedin.
What did you think of Puneet’s podcast? Where do you see the future of AI and Data Science heading in the next few years? We would love to hear your thoughts on this episode, so please leave a comment below.
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