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Alex Marandon
  • Male
  • Levallois-Perret, IDF
  • France
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Alex Marandon's Page

Profile Information

Group Flo
Job Title:
Head of Performance Management
Short Bio:
I'm a data passionate!
Since I've started working over 15 years ago, I've been living and breathing data well before the term "data science" became popular.
First as an entrepreneur - I've been co-founder and CTO of Crossknowledge, an e-learning company specialized in management topics - where I built and managed a tera-sized data infrastructure.
After an MBA at INSEAD in 2007, I joined blue-chip companies in the tourism industry in a strategic & business analytics capacity where I learned to answer business questions by translating them into quantitative problems solved by analytics & visualization tools.
More recently, I joined gnresearch as COO, a company specialized in predicting customer behavior, where I shifted on the other side, expressing my business needs (and those of my clients') to be translated into data products.
LinkedIn Profile:
Finding a new position

Alex Marandon's Blog

How to improve your online KPIs – Part 1. Know your Demand

Posted on April 19, 2016 at 11:40pm 0 Comments

As a follow-up to my previous post "Using Machine Learning to predict Customer Behaviour", I wanted to address a similar topic but from an e-commerce perspective. How to you predict the behaviour of your visitors in your online store? and more importantly, how do you leverage this knowledge in order to optimize your traffic, conversion, profit, or whatever KPI…


Using Machine Learning to Predict Customer Behaviour

Posted on April 10, 2016 at 10:47pm 3 Comments


The Path to Analytics Enlightenment

Posted on April 5, 2016 at 3:00am 0 Comments

It's nothing new that Machine Learning and Big Data have been making the headlines for quite some time now, almost half a decade at least. The Data Scientist job has even been identified by Glassdoor as the best job in America (as of April 2016).
However, according to Gartner's 2015 Hype Cycle for emerging technologies, Machine Learning has now passed the peak of inflated expectations and is…

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