Main Content

Software Expertise

  • Analytics environments: Hadoop, Anaconda
  • Analytics notebooks: Jupyter, Zeppelin
  • Relational Database Management Systems: MySQL, PostGreSQL, Oracle, Microsoft
  • NoSQL Database Management Systems: HBase/Phoenix, Hive, Druid
  • Machine Learning Libraries: Spark Machine Learning Library (MLLIB), Scikit-Learn, TensorFlow, R
  • Languages: Java, Scala, Python, C, JavaScript (including specialized libraries, such as Angular), XML, HTML
  • Rules engines: DROOLS
  • Visualization: D3, MatPlotLib, specialized libraries for pivot tables and other analytics.

Machine Learning Expertise

  • Data pre-processing and feature extraction
  • A variety of supervised and unsupervised machine learning models and learning algorithms
  • Specialized anomaly detection algorithms
  • Time series analysis
  • Trajectory analysis
  • Bayesian and other probabilistic inference

Artificial Intelligence and Knowledge Based Systems Expertise

  • Rules-based expert systems
  • Knowledge Engineering
  • Rules Engines
  • Semantic Web Technologies
  • Rules-based systems that incorporate probabilities
  • Fuzzy logic