William Komp
Position: Co-Founder, Chairman of the board and CTO
Speaker and Moderator Predictive Analytics World, Conference Organizer Midwest Relativity Conference, Peer reviewer for the Relative Compadre Physics Archive, Canadian Journal of Physics and WGBH Boston Physics Learning Archive, Technical editor for J Wiley and Sons in the area of Predictive Analytics and contributor to Predictive Analytics Times, Panelist for Virtual Phd in the area of Science Technology Engineering and Mathematics
Skills:
Software/Hardware: SPSS Modeler, Latex, OPENFOAM, Knime, Mathematica, Q-Blade, FreeCAD, AWS (Redshift, EC2, Lambda, S3, Aurora, Glue, EMR), Database Architecture, Database Management, Backend development, 3D printing, Scrum Agile, Jira, Confluence, Bitbucket, Software versioning control, Hadoop, Python, SQL (T-SQL, PL/SQL, Postgres, MySQL, MariaDB, Redshift), Spark, Fortran, Java, C, C++, HTML, PHP
Algorithms: Record Linkage, Data Standardization, Numerical Differential Equations, Dynamical Data modeling, Monte Carlo Markov Chains, Graph Algorithms, Text Mining and Analytics, Deterministic and Probabilistic Models, Web Analytics and Data Mining (Geocoding and map search APIs, web mining), Speech Recognition, Text to Speech
Mathematics: Differential Equations (ordinary, partial, linear and non-linear), Differential Geometry, Bayesian Statistics, Probability Theory, Statistical Modeling, Real Analysis, Functional Analysis, Calculus, Linear Algebra, Set theory, Group Theory, Naïve Bayesian models, Epidemiology models, Markov Chains, Predictive Model Algorithms (Neural Network, Decision Tree Algorithms, Linear Regression, Logistic Regression), Record Linkage, Graph Theory, Multi-parameter optimization