Suresh Pillai's guest appearances

Suresh Pillai

Why Food?

Apptivate: App Marketing Explained

Customer Insight Leader podcast

Alexander Smalls

Beth Linskey

Vallery Lomas

Floyd Cardoz

Jordan Silbert

Bianca Bosker

Deb Perelman

Mark Bittman

Eric Stein

Peter Reinhart

Garrett Oliver

Hetty McKinnon

Jessie Sheehan

Homa Dashtaki

Jon Schwabish

OwlTail

Suresh Pillai is a theoretical physicist by training and the Vice President of Data at Beat. Beat is an information and technology services company that created a ride-hailing and taxi mobile app. Beat claims to be the fastest growing app in Latin America (p.s. they’re hiring).Questions Suresh Answered in this Episode:How do you approach mobile data science from your theoretical physics perspective?How have you used uplift modeling or incrementality?Define propensity in the context of uplift modeling.Can you explain in more detail the marketing settings you never turn off?What is the difference between how people use uplift modeling, incrementally, and other causal machine learning?Do you have any tips for people to make sense of attribution in the complex setting of multi-touch marketing?We’re losing unique identifiers for users with the change to iOS14. What does this change for you? Has it been a problem? And do you think there’s a role for marketing mix models here?What are the most interesting insights you’ve seen from incrementality models? What really surprised you? What changed your view on how customers are acting?Timestamp:0:41 Suresh’s background &amp; complexity science2:14 A physicist’s view of complex systems in mobile data science5:03 The granularity of incrementality and uplift modeling6:05 Sure things, persuadables, lost causes, and sleeping dogs11:31 Uplift modeling when there is no baseline13:31 Uplift vs causal vs attribution models16:48 What people get wrong with multi-touch attribution25:44 Dealing with the challenge of the iOS14 update27:50 The role of marketing mix modeling33:51 Validation: Engaging customers after conversionQuotes:(2:25-2:52) “When you’re thinking about any system, especially a complex system, and you’re given a problem, you need to decide which level of granularity you choose to model and understand that system. So different levels enable different insights, but it’s also a practical thing. If it’s a really complex system it may be too much to understand at the atomic level. What I say is you can’t predict anything at the atomic level because there’s too much going on. And we know this in physics, too.”(24:23-24:35) “When I come to a website, I don’t care what channel I came through. I don’t think about it consciously. There’s no reason to organize how you measure incrementality based on channels. Channels don’t exist. Customers exist.”Mentioned in this Episode:Suresh Pillai’s LinkedInBeat (Psst Beat is hiring)

<p>Suresh Pillai is a theoretical physicist by training and the Vice President of Data at Beat. Beat is an information and technology services company that created a ride-hailing and taxi mobile app. Beat claims to be the fastest growing app in Latin America (p.s. they’re hiring).</p><h2>Questions Suresh Answered in this Episode:</h2><ul><li>How do you approach mobile data science from your theoretical physics perspective?</li><li>How have you used uplift modeling or incrementality?</li><li>Define propensity in the context of uplift modeling.</li><li>Can you explain in more detail the marketing settings you never turn off?</li><li>What is the difference between how people use uplift modeling, incrementally, and other causal machine learning?</li><li>Do you have any tips for people to make sense of attribution in the complex setting of multi-touch marketing?</li><li>We’re losing unique identifiers for users with the change to iOS14. What does this change for you? Has it been a problem? And do you think there’s a role for marketing mix models here?</li><li>What are the most interesting insights you’ve seen from incrementality models? What really surprised you? What changed your view on how customers are acting?</li></ul><h2>Timestamp:</h2><ul><li>0:41 Suresh’s background &amp; complexity science</li><li>2:14 A physicist’s view of complex systems in mobile data science</li><li>5:03 The granularity of incrementality and uplift modeling</li><li>6:05 Sure things, persuadables, lost causes, and sleeping dogs</li><li>11:31 Uplift modeling when there is no baseline</li><li>13:31 Uplift vs causal vs attribution models</li><li>16:48 What people get wrong with multi-touch attribution</li><li>25:44 Dealing with the challenge of the iOS14 update</li><li>27:50 The role of marketing mix modeling</li><li>33:51 Validation: Engaging customers after conversion</li></ul><h2>Quotes:</h2><p>(2:25-2:52) “When you’re thinking about any system, especially a complex system, and you’re given a problem, you need to decide which level of granularity you choose to model and understand that system. So different levels enable different insights, but it’s also a practical thing. If it’s a really complex system it may be too much to understand at the atomic level. What I say is you can’t predict anything at the atomic level because there’s too much going on. And we know this in physics, too.”</p><p>(24:23-24:35) “When I come to a website, I don’t care what channel I came through. I don’t think about it consciously. There’s no reason to organize how you measure incrementality based on channels. Channels don’t exist. Customers exist.”</p><h2>Mentioned in this Episode:</h2><ul><li><a href="https://www.linkedin.com/in/stochasticdreams/" rel="nofollow" target="_blank">Suresh Pillai’s LinkedIn</a></li><li><a href="https://thebeat.co" rel="nofollow" target="_blank">Beat</a> (Psst Beat is hiring)</li></ul>

Data Science: Advanced Modeling for Mobile - Suresh Pillai

Carrie Dashow

Join us for a conversation with Suresh Pillai and Carrie Dashow, the married co-founders of Atina Foods. They adapt traditional Ayurvedic recipes to incorporate global and locally available produce for their unusually delicious, fermented, and preserved condiments that help to balance your health and life. Based in Catskill, New York, Atina Foods' handcrafted condiments add flavor complexity in a simple spoonful to home-cooked plates throughout New York and beyond! Atina Foods Expands upon and evolves recipes from Suresh's traditional upbringing in Kerala, South India, the ancestral home of Ayurvedic health practices. Kerala is a place where one considers food as medicine and eating for health is a widely practiced custom. The vision of Atina Foods is to produce and share holistic food based on traditional knowledge systems using local produce when available, following the sacred wisdom of the ancients; that food is medicine and medicine is food.Heritage Radio Network is a listener supported nonprofit podcast network. Support Why Food? by becoming a member!Why Food? is Powered by Simplecast.

<p>Join us for a conversation with Suresh Pillai and Carrie Dashow, the married co-founders of <a href="https://www.atinafoods.com/" rel="nofollow" target="_blank">Atina Foods</a>. They adapt traditional Ayurvedic recipes to incorporate global and locally available produce for their unusually delicious, fermented, and preserved condiments that help to balance your health and life. Based in Catskill, New York, Atina Foods' handcrafted condiments add flavor complexity in a simple spoonful to home-cooked plates throughout New York and beyond! <br/><br/><a href="https://www.instagram.com/atina_foods/" rel="nofollow" target="_blank">Atina Foods</a> Expands upon and evolves recipes from Suresh's traditional upbringing in Kerala, South India, the ancestral home of Ayurvedic health practices. Kerala is a place where one considers food as medicine and eating for health is a widely practiced custom. The vision of Atina Foods is to produce and share holistic food based on traditional knowledge systems using local produce when available, following the sacred wisdom of the ancients; that food is medicine and medicine is food.</p><p>Heritage Radio Network is a listener supported nonprofit podcast network. Support Why Food? by<a href="http://heritageradionetwork.org/donate" rel="nofollow" target="_blank"> becoming a member</a>!</p><p>Why Food? is Powered by <a href="http://simplecast.com/" rel="nofollow" target="_blank">Simplecast</a>.</p>

Suresh Pillai & Carrie Dashow: Atina Foods

In episode 22, I have a wonderfully scientific conversation with Suresh Pillai who is working in Berlin. He shares about his background in theoretical physics, data science leadership roles (including in eBay) and why complex systems &amp; simulations can help. A great opportunity to delve into a neglected approach compared to machine learning &amp; other scientific methods, but still grounded in what will help today's businesses. I hope Suresh's tips for data scientists and data science leaders help you. Enjoy learning on so many topics in this polymath's delight.

<p>In episode 22, I have a wonderfully scientific conversation with Suresh Pillai who is working in Berlin. He shares about his background in theoretical physics, data science leadership roles (including in eBay) and why complex systems &amp; simulations can help. A great opportunity to delve into a neglected approach compared to machine learning &amp; other scientific methods, but still grounded in what will help today's businesses. I hope Suresh's tips for data scientists and data science leaders help you. Enjoy learning on so many topics in this polymath's delight.</p>

Episode 22 - Suresh Pillai