Statistics & Data Science

[Freelance Services]

Data-enhanced decision making has a wide variety of applications, from determining high level business strategy, to analysing statistical experiments, 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 a high 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, Cramer-Rao, Lehmann-Scheffe, 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, Tukey) etc]
• Regression [Multivariate Linear/Non-Linear/Logistic, Ridge, Lasso, Elastic Net etc]
• Machine Learning [PCA, LDA, Decision Trees, Random Forests, Neural Networks: ANN, RNN ]