Mark Njega

I hold a master’s degree in Applied Statistics as well as a bachelor’s degree in Mathematics and Computer Science. I possess a wide range of technical skills in statistical computing methods. I have the capability of extracting raw facts from different sources and warehousing it, this data include: normal nominal/ordinal, spatial, panel and unstructured data. I am competent at developing and interpretating results of linear, logistic Probit/logit, polynomial, stepwise, ridge, lasso, elasticNet, Bayesian and quantile regression models. I also have a good working knowledge and understanding on correlation, factor/discriminant/cluster, Chi Square test, Students t test, analysis of variance and survival analysis. I am an expert in carrying neural network analysis, developing machine learning and artificial intelligence algorithms. Additionally, I posses the ability to present the findings of a research study/analysis using citation style