julienkervizic
Everything around data from data analytics, to data-driven marketing, data engineering to data science
Setting in place personalization on a website can be a difficult task. There are many ways to offer a certain level of personalization, and one must take into account different levels of user and…
A few years ago being a data engineer meant managing data in and out of a database, creating pipelines in SQL or Procedural SQL and doing some form of ETL to load data in a data-warehouse, creating…
There are four key pillars that rule the lifecycle of analytics projects, from data acquisition, processing to surfacing, and actioning on the data. Each of these contribute to a significant part of…
There are different approaches to putting models into productions, with benefits that can vary dependent on the specific use case. Take for example the use case of churn prediction, there is value in…
The pandas library is the most popular data manipulation library for Python. It provides an easy way to manipulate data through its data-frame API, inspired by R’s data frames. One of the keys to…
Having effective data structures, enables and empowers different types of analyses to be performed. Overall looking at some of the traditional use cases for e-commerce, we can extract 5 different…
CDPs, Customer data platform is a term that is being thrown around a lot these days, without many people genuinely understanding what they do. There exists an abundance of solutions on the market…
Data quality is a journey, it doesn’t come in one day, and the focus should be more about improving data quality than having it right on day one. Having a data governance model, implementing testing f
There is multiple purposes to leverage Facebook Advertising data, for performance measurement, attribution modeling or customer profile enrichment. This post explains how to use FB python API to do it
When I started as an Analytics Manager in an E-com company, the reporting process was manual, prone to errors and was taking over a full day to consolidate. We were looking to scale up and continuing…
Data Scientist is a new profession, and as such, there isn’t a clearly defined career path made for it. People end up in data science from different backgrounds such as computer sciences…
Two new roles have emerged in the world of data in the past few years, roles that are providing a softer touch in a world of technical data. These roles are aimed to fill a clear gap in a function…
Someone asked me recently how he could get the knowledge and the skills necessary to become a Data Scientist. There are different ways to learn data science, go to university, follow a bachelor or…
