Margriet Groenendijk

Developer Advocate

PythonAnalyticsR language and environmentData scienceMachine learningDatabasesDeep learningArtificial intelligencePixieDustWatson StudioMAX - Model Asset eXchangeWatson Visual RecognitionJupyter NotebookIBM SPSS ModelerIBM CloudPython Data Analysis LibraryIBM Db2 DatabaseCloud

London

Margriet is a Data & AI Developer Advocate. She develops and presents talks and workshops about data science and AI. She is active in the local developer communities through attending, presenting and organising meetups. She has a background in climate science where she explored large observational datasets of carbon uptake by forests during her PhD, and global scale weather and climate models as a postdoctoral fellow.

Upcoming Events

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Code Pattern Mar 28, 2019

Analyze historical shopping data with Spark and PixieDust in a Jupyter notebook

Create bar charts, line charts, scatter plots, pie charts, histograms, and maps without any coding.

AnalyticsApache Spark+
Code Pattern Mar 28, 2019

Build a machine learning recommendation engine to encourage additional purchases based on past buying behavior

Use Jupyter Notebooks with IBM Watson Studio to build an interactive recommendation engine PixieApp.

Apache SparkArtificial intelligence+
Announcement Sep 24, 2018

Build an interactive product recommender with Spark and PixieDust

Use Jupyter Notebooks with IBM Watson Studio to build an interactive recommendation engine PixieApp.

Apache SparkArtificial intelligence+