Research domain: Causal inference, Deep neural networks
Programming language: C / C++ (10 years of experience), R, Python
Machine learning library: TensorFlow, Edward (probabilistic modeling, inference, and criticism)
Computer Science fundamentals: Basic data structures and algorithms
Modeling framework: MATLAB, Scikit-Learn
Distributed computing: MapReduce, Spark
Programming environment: Google Colab
Data Visualization: Tableau, Cytoscape
Software engineering: Git, SVN, Scrum, Agile
Database: MySQL, PostgreSQL
Linux: Various distributions based on Linux OS
Familiar: JAVA, C#, Arm Assembly Language