InBuilding IbottabyPaul Kellar·Jun 30Taming a Heavy-Tailed Distribution: How We Built ibotta’s Offer Velocity ModelBy Paul Kellar, Senior Data Scientist @ ibottaA response icon1A response icon1
Abhirami Kumaraguruparan·Jun 9Beyond Simple Forecasting: A Multi-Engine Machine Learning Architecture for Enterprise Resource…In enterprise retail operations, predicting top-line revenue is only half the battle. A sales forecast locked in a vacuum cannot tell an…
Morgan Lim·Mar 15Every Forecast Already Tells the Truth, If You Know Where to LookForecast conversations often feel tense.
Morgan Lim·Mar 2Why Forecasts Fail Long Before the Forecast CallMost sales teams think forecasts fail at the end of the quarter.
Briankimu·Feb 23Analyzing 49,000+ Sales Records with Python: A Deep Dive into Pandas & MatplotlibHow data cleaning, feature engineering, and visualization can surface real business intelligence from raw transactional data.
Thomas Gwasira·Feb 4Behind the Scenes of Production AI/ML Systems Part 1: Continuous MonitoringBuilding production-grade artificial intelligence (AI) and machine learning (ML) systems that deliver continuous value takes a lot more…
Trivikram Rayudu Chekuri·Jan 18Predicting the Future of Retail: An End-to-End Sales Forecasting Project using Python & Machine…Introduction In the fast-paced world of retail, “knowing the future” isn’t magic — it’s data science. For store managers, the difference…
