• Data analysis and provide insights of data in data warehouse usingTeradata SQL Assistant.• Building prediction model using supervised algorithms like simple modelslike linear and logistic regression and complex models such as KNN,SVM, decision tree and Random Forest• Data mining techniques by removing dimensions using PCA, clusteringalgorithms in particular Hierarchical and non-Hierarchical clustering aswell as knowledge on Market Basket Analysis and building recommendersystem.• Text mining with web scrapping using selenium and performingsentiment analysis on it.• Modeling Time Series using Forecasting technique with model drivenapproach such as ARIMA and data driven approach.• Basic knowledge on Neural Network algorithm.