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of MRI, CT scan machines. • Use Linear regression to predict the sales figures across various healthcare devices. • Creating visualization through Matplotlib, Seaborn. • Making interactive dashboards with Tableau for different set of stakeholders. • Data Representation / Forecast in various forms from different sources. • Prepared & deployed the models as UI where anyone can plug and play with any of the algorithms and can deploy to see the Accuracy. Skills/Libraries Used: Python, Machine Learning Models - Random Forest, Decision Tree, SVM, Time Series Forecasting, Classification Models, Scikit learn, Numpy, Pandas, Matplotlib, Seaborn, Tableau. Sep 2016