I am a professional statistician and data scientist.
I am very versatile with a wide range of data engineering architectures and tools such as Hadoop, Cassandra, Tableau, Oracle, SAP, Cognos, Microstrategy, Azure, STATA, SPSS Statistics, SPSS Amos, SPSS Modeler, SPSS Analytic Server, SAS, R, MPLus, LISREL, EViews, MATLAB, Nvivo, Atlas.ti, among others.
With a great passion towards resolving problems, I am always available to assist organisations and post-graduate students with advanced statistical analyses including but not limited to Exploratory Factor Analysis (EFA); Confirmatory Factor Analysis (CFA); Structural Equation Modeling (SEM); Descriptive Statistics; Sentiment Analysis; Bayesian Statistics; Geospatial Modeling; Discriminant Analysis; K-Nearest Neighbor (KNN); Latent Class Analysis (LCA); Random Forests Classification; Social Network Analysis (SNA); Support Vector Machines (SVM); Artificial Neural networks (ANN); Multi-Dimensional Scaling (MDS: PROXSCAL, ALSCAL etc.); Linear Models (GLM, MLM, MLMM); Linear Discriminant Analysis (LDA); Hierarchical Linear Modeling (HLM); OLS, 2SLS, SUR, 3SLS, GMM, DID etc; Power Analysis, Sample Determination; Cluster Analysis (Hierarchical, K-Means); ANOVA, ANCOVA, MANOVA, MANCOVA; Decision Tree Analysis (CART, CHAID, etc.); Logistic Regression, Non-Linear Regression; Mann-Whitney, Fisher, Kruskal-Wallis, Wilcoxon, Friedman, Box-Cox, McNemar etc.; Time Series Analysis (ARMA, ARFIMA, GARCH, etc.); Survival Analysis (Cox Regression, Kaplan-Meier etc.) as well as qualitative analyses.
Timely quality solutions are always guaranteed!
Supervising the implementation of big data analytics
Administering database design, architecture, and development
Data integration and ETL design, architecture and development
Administering cloud computing designing, architecture and development
Administering, configuring, monitoring, and performance-tuning Hadoop applications
Troubleshooting problems regarding the databases, applications and development tools
CT Business Consultants
Dec 2008 - Present
Designing and building advanced analytics solutions
Creating algorithms to extract information from large data sets.
Developing predictive algorithms using R, SAS and SPSS Modeler
Developing metrics and prototypes that can help drive business decisions.
Designing, developing and deploying data analysis systems for large data sets
Establishing scalable, efficient, automated processes for model development, validation and implementation
Cloudera Certified Professional: Data Scientist
Certified Analytics Professional
IBM Certified Professional - Cognos BI
- IBM -
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Preferred Freelancer Program SLA 1 100% Basic Numeracy 1 91% US English 1 90% Statistics 1 80% Academic Writing 1 77%