I decided to create this website in order to share my articles and point of view about the Sport Industry and the Data Science field. I write articles about the subjects which spark my interest and curiosity, and I am always happy to share and exchange about them. You can contact me directly by using the Contact form.

Who? Max Métral

Avid learner and self-motivated professional with a successful track record and experiences in worldwide organizations across various industries, I love to learn new things as much as I love to take-up new challenges. I am passionate about the Sports Industry and its constantly evolving paradigms, and I also like to write articles giving my point of view on subjects which spark my interest.

I am particularly enthusiast about the Data Science and Analytics fields, and for me being a data nerd (or scientist, or expert, etc.) is much more than manipulating and analyzing large, complex, and multi-dimensional datasets.

“A nerd is a person who knows his own mind well enough to mistrust it.”
― Daryl Morey, GM of the Houston Rockets.

The real challenge is to ask the right question(s) and to be able to translate the data analytics answers into plain language and actionable recommendations. I see analytics as a way to support the decision-making process, and the truth is that it outperforms human intuitions in a wide variety of circumstances.

“If you challenge the conventional wisdom, you will find ways to do things much better than they are currently done.”
― Michael Lewis, Moneyball.

I also believe in challenging the conventional wisdom in order to consistently improve the status quo. I am not afraid of rolling up my sleeves to promote and implement innovative ideas.

My area of expertise covers subjects like Machine Learning algorithms (Linear and Logistic regressions, Decision Trees, PCA, k-means, k-NN and Hierarchical Clustering), Pricing Analytics, Predictive modelling (Churn, Scoring…) and Marketing Intelligence (Qualitative and Quantitative Surveying), as well as a range of software for Data Management (MS SQL Server), Data Analytics and Machine Learning (R), Data Visualization (R, Tableau), CRM (Salesforce), Reporting (SSRS, VBA) and Surveying (Sphinx, Qualtrix).

Nota Bene

This is a personal blog. Any views or opinions represented in this blog are personal and belong solely to the blog owner and do not represent those of people, institutions or organizations that the owner may or may not be associated with in professional or personal capacity, unless explicitly stated.