Programming: Python, C#.net, VB.net, HTML, ASP.net.
Data Tools: Rapid Miner, WEKA, EXCEL.
Statistical Analysis Tools: SPSS.
Data Visualization: EXCEL, Power BI.
Packages/libraries: Sklearn, Pandas, Numpy, Matplotlib, Seaborn, NLTK, Selenium.
Machine Learning: Linear Regression, Logistic Regression, Decision trees, Random forest, Association Rule Mining (Market Basket Analysis), Clustering (K-Means, Hierarchal), Gradient decent, SVM (Support Vector Machines).