PinnedKaushik SureshkumarinTowards Data ScienceBayesian AB Testing — Part II — RevenueHow to model, use and analyse revenue metrics in bayesian product experimentsJan 12, 20214Jan 12, 20214
PinnedKaushik SureshkumarinTowards Data ScienceBayesian AB Testing — Part I — ConversionsHow to model, use and analyse conversion based metrics in bayesian product experimentsJan 4, 20212Jan 4, 20212
PinnedKaushik SureshkumarinTowards Data ScienceBayesian experimentation methods for productsA non technical look at why bayesian AB testing is a better way to model user interactions with your productDec 2, 20201Dec 2, 20201
PinnedKaushik SureshkumarinTowards Data ScienceHow does TikTok’s algorithm know me so well?A high level overview of how personalised feed algorithms workDec 19, 2020Dec 19, 2020
Kaushik SureshkumarinTowards Data ScienceGeo Lift Experiments II: Spotify Blend Case StudyAn exploration of geo lift experiments in the product context of the Spotify Blend FeatureJul 5, 2022Jul 5, 2022
Kaushik SureshkumarinTowards Data ScienceGeo Lift Experiments I: Understanding Difference in DifferencesWhy and when to run geo lift experiments from a product contextJul 5, 2022Jul 5, 2022
Kaushik SureshkumarinTowards Data ScienceWhat to do if you can’t run experiments on your product? — Causal Inference IA gentle introduction to causal inference and its use in product development.Jul 29, 2021Jul 29, 2021
Kaushik SureshkumarinGeek CultureThe News Feed Dichotomy: Why Social Apps Keep Changing Their AlgorithmsWhy social apps keep changing their algorithmsMar 15, 2021Mar 15, 2021
Kaushik SureshkumarinTowards Data ScienceBayesian AB Testing — Part IV — Choosing a PriorHow to choose a sensible prior distribution for your test metricsFeb 8, 20211Feb 8, 20211
Kaushik SureshkumarinTowards Data ScienceBayesian AB Testing — Part III — Test DurationYou’re ready to run your experiment but how long should you run it for?Jan 26, 2021Jan 26, 2021
