What we're about

Data Science presentaties laten vaak indrukwekkend resultaten zien, die ook nog eens eenvoudig te ontwikkelen waren. Wat vaak niet verteld wordt, is dat er ook veel pogingen stranden. In deze meetup, door en voor data scientists, leren we van elkaars ervaringen. We leren van zowel de highs als de lows. We behandelen dus niet alleen het oppervlakkige eindresultaat, maar ook welke problemen ondervonden waren. Met welke uitdagingen krijg je te maken, en hoe ga je daar mee om. Om te ontdekken welke verschillende aanpakken er mogelijk zijn, hebben we de voorkeur om een hands-on sessie in de meetup te hebben. Daarmee krijg je de mogelijkheid om de gepresenteerde aanpak ook zelf te proberen, en tevens je eigen aanpak daarvan aan anderen te laten zien.

Upcoming events (1)

Passenger forecasting at KLM - from idea to meals on board

WTC Schiphol Business & Conference Center

For our next event, we have joined forces with KLM to share results and learnings of a full-cycle data science project on passenger forecasting. A must-attend event for anyone working in the field of applied data science! -- Background: Nobody likes throwing good food away, while everybody likes to get a fresh meal on a long-distance flight. In to order take just the right amount of meals on board, KLM successfully executed a project to improve their forecast of the number of passengers on-board every flight. This meetup, we will walk you through the entire process and share the challenges of going from a rough idea to an industrialised data science solution. -- Agenda: 17.45 - Doors open 18.00 - Drinks & snacks 18.30 - Welcome 18.45 - The project: meals on board 19.00 - The science: forecasting airline passengers ** 15 min break ** 20.00 - The engineering: bringing it to production 20.30 - Wrap-up and time for social drinks, doors close at 21.00 -- The project: meals on board Joyce Morren, Project Manager Supply Chain at KLM, will outline the project: the idea, detailed use case, team, phases and the final data science product. In addition, she will share some of the key results and learnings of the project. -- The science: forecasting airline passengers Alexander Backus, Lead Data Scientist at BigData Republic, will talk data science: framing the modeling problem, performance metrics, validation strategy, machine-learning algorithms and challenges from a data science perspective. -- The engineering: serving forecasts in production Daan Debie, Director Engineering & Architecture at KLM, will map the road to production of this project: solution architecture, data platform (Spark, HBase, Docker), microservices, model serving, monitoring and challenges from a data engineering perspective.

Past events (3)

Churn Prediction in Practice hosted by VodafoneZiggo

Vodafone Headquarters

Photos (7)