● Good applied statistics skills, such as distributions, statistical testing, regression, etc.
● Design custom analysis tools in applications such as Visual Basic, MS Excel, MS Access, SAS, R and SQL, synthesize and
communicate results.
● Experience in Machine Learning Algorithms, KNN, NaiveBayes, Logistic Regression, Apriori, K-Means, Decision Trees, SVM,
Random Forest and Confusion Matrix.
● Statictical Analysis using Hypothesis testing, Linear/Non Linear Regression, Correlation, ANOVA, T-test, Histograms, Kurtosis
& Skewness
● Experience with data visualisation tools, such as D3.js and GGplot
● Experience in Data Analysis that includes importing, cleaning, transforming, validating or modeling data with the purpose of
identifying Opportunities for business decision making purposes.