<p>Plan:<br/>18:00 - 18:30 - Google PageSpeed, Leszek Siemiñski<br/>18:30 - 19:00 - pizza<br/>19:00 - 19:30 - Automated Supply Chain Management,<br/>Francois Jacquet</p> <p># Google PageSpeed<br/>Description:<br/>My goal is to show you how R can be used in the field of digital marketing.<br/>One of important tasks in digital marketing is ensuring that a website is loading in an efficient and secure way to keep the users/customers happy. Google PageSpeed Insights is one of the most important tools that can be used to create a "healthcheck" for a given URL address but using it for every single page in a website with thousands of pages will be tedious and error-prone.<br/>Thus I created R package pagespeedParseR that helps with automatization. It can send multiple requests to Google PageSpeed Insights API and parse the returned reports (nested lists) into data frames.</p> <p>Bio:<br/>Leszek Siemiński is a digital marketing analyst, self-taught programmer &amp; R language enthusiast. Currently, he works in Performance Media Polska as a Digital Data Analyst.</p> <p># Automated Supply Chain Management<br/>Bio:<br/>Father of 3, after first life in IT (mainly C++ dev and project management), switched to operations in Renault Nissan then Lean &amp; Supply Chain Management at European level for Hutchinson ( Automotive). Lecturer at Politechnika Łódzka in Supply chain &amp; Production management. Machine Learning practitionner for 3 years and now founder at ArtInLean.<br/>The dream I am realizing is to build a platform that will erase all those stupid wastes in supply chain, specially for perishable food, securing my family needs while trying to leave this world not so spoiled to them.</p> <p>Description:<br/>I would like to share the journey I took to build from scratch a production grade machine learning workflow for automated stock and sales management, with emphasis on :</p> <p>1/ Hurdles in accessing/cleaning data at a commercial company and how I could overcome them<br/>2. How suprisingly fast it was for me to go from idea to working model in R<br/>3. How painful and key it is to make it production grade ( and one can in R too)<br/>4. Exchange with you on some principles I applied in my journey that helped a lot ( Lean start-up, Agile, continuous training, real passion for what I do...)<br/>5. The challenges still to come ( keep values while growing, reinforcement learning?, database engineering,...)</p> <p>Hopefully some of you will like to join the boat or share your experience!</p> <p># Sponsors</p> <p>The event will be sponsored by Appsilon.</p> <p>Appsilon delivers the most advanced R Shiny apps, data science consulting services and support with R Shiny and Python Dash technologies.<br/>www: <a href="https://appsilon.com" class="linkified">https://appsilon.com</a><br/>fb: <a href="https://fb.com/appsilondatascience" class="linkified">https://fb.com/appsilondatascience</a><br/>twitter: <a href="https://twitter.com/appsilonds" class="linkified">https://twitter.com/appsilonds</a><br/>linkedin: <a href="https://linkedin.com/company/appsilon/" class="linkified">https://linkedin.com/company/appsilon/</a></p>