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