PinnedMarketing Mix Modeling: Hands-on with Bayesian MMM using PyMCBest practices, useful notes and code for building a Bayesian model for optimizing media spends using PyMC.Jun 20, 202310Jun 20, 202310
PinnedPublished inTowards Data ScienceGenetic Algorithm — Finding Optimal Email Delivery Schedule to Maximize EngagementUsing an evolutionary algorithm to optimize a consumer bank’s D2C CampaignNov 1, 20232Nov 1, 20232
PinnedPublished inTowards Data ScienceUplift Modeling — A Data Scientist’s Guide to Optimizing a Credit Card Renewal CampaignApplying causal machine learning to trim the campaign target audienceJul 13, 20233Jul 13, 20233
PinnedPublished inTowards AIDiscrete-Time Markov Chains — Identifying Winning Customer Journeys in a Cashback CampaignModeling customer interactions in a digital campaign as discrete-time Markov ChainsAug 28, 20231Aug 28, 20231
Published inAI AdvancesNext Best Action — Learning Optimal Policy for Maximizing Mortgage CollectionRefining marketing strategy using reinforcement learning (Part 3/3)Sep 28, 2023Sep 28, 2023
Published inGoPenAIMulti-Aspect Modeling with LLMs and Gaussian Mixture ModelThe LLM-GMM framework to discover insights from complex customer feedback.Sep 21, 2023Sep 21, 2023
Next Best Action — Optimizing Long-term Marketing Communications using Markov Decision ProcessA reinforcement learning based approach for learning optimal policies (Part 2/3)Sep 21, 2023Sep 21, 2023
Synthetic Data — Generating Customer Journeys for Mortgage LifecycleCreating artificial customer events and actions in the home loan repayment tenure. The first step to building a Next-Best-Action model.Sep 14, 2023Sep 14, 2023
DS Nuggets — Why every data scientist needs to know UI designThe next big thing is the one that makes the last big thing usable. —Blake Ross, Co-creator of Mozilla FirefoxSep 1, 2023Sep 1, 2023
DS Nuggets — Your model will fail over time.Keep your ML models young, not just accurate.Aug 30, 2023Aug 30, 2023
