I am a passionate data scientist who helps clients get value from their data. I have bachelor level training in applied statistics and I am currently pursuing a master’s degree in research methods. My work experience spans clinical trials, business intelligence, market research and academic research. I have worked at KBPA consulting, McKinsey, University of Washington and InfoReach Consulting. These working experiences have enabled me understand the entire process of defining a problem, identifying the data required, analyzing the data and communicating the results to decision makers. I will help you in choosing, using and interpreting results of statistical techniques. These techniques include but are not limited to: descriptive statistics, chi-square, t test, ANOVA, linear/logistic regression, time series analysis, survival analysis and factor analysis. I also support writing of results section for journal publications, conference presentations and academic papers. I have worked on many projects using machine learning techniques like: logistic regression, support vector machines, random forests and clustering techniques. I will help you in use of these techniques to gain insight from your data. My data science tools are R, Python, IBM SPSS, Stata, Excel, SQL Server, Mysql, Pentaho, Spark and Hadoop. Please get in touch with me for consulting, training, deployment, writing manuals and blog content on any of the above.