PinnedFarshad Lavassani MiraftabinTowards Data ScienceCalculating Customer Lifetime Values using a Shifted-Beta-Geometric modelA probabilistic approach to forecasting customer retention in order to accurately calculate customer lifetime valuesOct 19, 20194Oct 19, 20194
Farshad Lavassani MiraftabinTowards Data ScienceA Bayesian Approach to Rasch Models (Item Response Theory)Using Rasch Models and PYMC3 to Objectively Measure Human PerformanceJan 11, 20217Jan 11, 20217
Farshad Lavassani MiraftabinTowards Data ScienceMethods to Estimate Customer Churn Risk3 unique approaches to model customer churn based on your business needs and data sophisticationJul 21, 2020Jul 21, 2020
Farshad Lavassani MiraftabinTowards Data ScienceHow many engineers does it take to fix a lightbulb — Optimizing Incident ResponseAvoid the “too many cooks in the kitchen” problem- optimize incident response for mission critical tasksDec 30, 20191Dec 30, 20191
Farshad Lavassani MiraftabinTowards Data ScienceReducing Uncertainty: The less you know, the more you gainScience is more about getting data than about having dataSep 11, 2019Sep 11, 2019
Farshad Lavassani MiraftabDashboards: Great Idea, Poorly ExecutedWith the rise in analytic talent, BI technologies (Looker, Tableau, etc.), and companies undergoing digital transformation, dashboards…Aug 17, 2019Aug 17, 2019