Statistics & Data Science

[Freelance Services]

Data analysis has a wide variety of applications, from determining high level business or marketing strategies, 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] gain powerful insight into your data and build predictive models, [ii] design and evaluate statistical experiments, [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

• 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 & Deep Learning

• Supervised [ Support Vector Machines, Decision Trees, Random Forests, Artificial Neural Networks ]
• Unsupervised [ KMeans Clustering, Hierarchical Clustering, PCA ]
• Time Series [ Recurrent Neural Networks ]
• Dimensionality Reduction [ LDA, PCA, TSNE ]