Statistics & Data Science

[Freelance Services]

Data-driven decision making has a wide variety of applications, from determining high level business strategy, to verifying conjectures or debunking preconceptions, to building fully automated decision making systems (e.g. real-time fraud-detection, algorithmic trading etc)

We are fully literate in a wide spectrum of mathematical statistics and data scientific techniques, and are able to deliver these to an analytically rigourous standard, helping you: [i] design and evaluate statistical experiments, [ii] gain powerful insight into your data and build predictive models, [iii] automate decision making processes using optimal decision boundaries. In addition and if relevant to your requirements, we can then code these techniques into a real-time software framework

Statistical Learning Techniques

  • Parametric Estimation [MLE, CR lower bound, Sufficiency, Bayesian etc]
  • Confidence Intervals [Pivotal Quantity, Asymptotic MLE Distribution, Bayesian etc]
  • Hypothesis Testing [UMP, GLR, Chi-Square/t/F tests, ANOVA (1-Way, 2-Way, Repeat, Tukey) etc]
  • Regression [Multivariate Linear/Non-Linear/Logistic, Ridge, Lasso, Elastic Net etc]
  • Machine Learning [PCA, LDA, Decision Trees, Random Forests, Feed Forward Neural Networks etc]

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