Journey from Correlation to CausationThe journey from correlation to causation includes picking up confounders along the way. But picking up confounders manually isn’t the best…Mar 5, 2022Mar 5, 2022
Impact SizingImpact Sizing or Impact Estimation is what product data scientists rigorously work on during the planning season. It helps answer key…Nov 24, 2021Nov 24, 2021
Skills of a Product Data ScientistUnderstand — Learn what the new product/feature is all about, its functionality, user experience, objective, timeline. Brainstorm as…Nov 8, 2021Nov 8, 2021
Skills of an AnalystHere are some key skills you should hone to become a good analyst:Jul 30, 2021Jul 30, 2021
Pandas Performance Improvement TipsBelow are some tips for you to improve/optimize performance of your Pandas operations. These tips are helpful when you have lot of data or…Jul 30, 2021Jul 30, 2021
Git Do & UndoGIT is a version controlling system used in software engineering. For Data Scientists working in teams, I recommend using it for…Mar 27, 2020Mar 27, 2020
Scala for Data Scientists — Part 2This is part 2 of a 3 part series to learn Scala. We will learn what is Functional programming and introduce you to a few functional…Nov 13, 2019Nov 13, 2019
Scala for Data Scientists — Part IThis is part 1 of a 3 part series to learn Scala. We will focus on learning what is Scala, what other libraries which come along…Nov 13, 2019Nov 13, 2019
My notes from: A/B Testing — Google — UdacityThis is a very practical course on A/B testing by Udacity & Google and I have recommended this to many folks interested in A/B testing…Sep 4, 20181Sep 4, 20181
