Efficient professional with extensive industry and research background with 4 years of experience in IT with a variety of technologies & tools : Pl/SQL, SQL, Macros, UiPath, Python, Tableau, QuickSight and more than 1 year of academic and research experience in Data Science and Business Analytics. I believe I can deliver a good integration of both. In the Data Science domain my work around has been mostly about Data Preprocessing, Data Cleansing, Feature Engineering, Outlier Detections and Model building using various machine learning models under Supervised and Unsupervised Learning, have a good hold on Predictive analytics and Time Series forecasting. I have extensively used python libraries like numpy, pandas, seaborn, matplotlib, statsmodels, sklearn for solving real-time use cases. I have also created business reports based on the Analysis of Data and provided insights to increase profitability of the business.Even though the learning curve is steep, it did really broaden my skills. I am confident that with my experience, educational and research background, I can contribute to real time projects in Data Science pretty well, and at the same time bring all my skills into action.