Big data (full stack lambda architecture), business intelligence, data mining , artificial intelligence scientist / architect (especially in finance and the online marketing area). Business cases Building data lake ( on more than 100 nodes ) with dozens of batch and streaming sources. Delivering business intelligence tools and reports. Customer segmentation, scoring and lifetime value analysis. Propensity to buy, behavioral targeting, pricing and retention models. “What if” simulations based on models.
Machine learning cluster analysis, nolinear modelling including neural networks, decision trees, random forests, nolinear regressions, association rules, global multiobjective optimisation ( including stochastic algorithms ), boosting/voting, feature preparation and reduction, time series analysis.
Architecture - Big Data: full stack lambda with security and HA. Hadoop MR, Hive, Spark, Cassandra, Storm, NiFi, Atlas, HAWQ, Solr, Sqoop, Oozie, Falcon, Flume, Kafka, H2O, Zeppelin, Hue, Ambari, Impala - ETL: Pentaho, Knime, Alteryx - MVC: Django, JEE, React Programming: Python, R, Java , C++, SQL.
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