Relational Data Consultant
More than 17 years of experience in data product development, specializing in data management, relational database architecture, statistical experimental design, inferential analysis, hypothesis testing, simulation coding, data mining, forecasting, and predictive analytics.
Techniques used include linear and logistic regression, Markov chains, generalized models (such as Poisson regression), ANCOVA, cluster analysis, time series analysis/forecasting, anomaly detection, bootstrapping, multivariate simulation, multi-model inference, nested and mixed models, maximum-likelihood estimation, Deming regression, censored regression. Tools and languages used include SQL, Oracle, R, Python, SAS, MySQL, MS SQL Server, MS Excel, MS Access, PERL, PHP, VBA, IBM Cognos.
Work Terms
Flexible hours and payment terms. Pro bono terms may be considered for nonprofit or academic research support.