Around 9.5 years of experience in Product and Service Industry as Data scientist, Data Analyst and Data Specialist with various domains like Retail, Logistic, Insurance, Banking, Finance. Good hands on Machine Learning, NLP, Rest API's and DWH/BI along with different Technologies like Tableau, AWS, Snowflake Datawarehouse, Python. Experience in Data exploration, Data manipulation, Data cleaning and Machine learning with python packages like (pandas. numpy, skcit learn, matplotlib, seaborn, NLP, SQL). Exposure to work on AWS/Cloud services like EC2, S3, Dropbox, Snowflake (Cloud Datawarehouse) with Agile methodology. Statistical Modelling and Machine Learning techniques (Linear, Logistics, Decision Trees, Random Forest, SVM, K-Nearest Neighbors) in Forecasting/Predictive Analytics, Segmentation methodologies, Regression based models. Experience in building, publishing customized interactive reports and dashboards,data analysis, data wrangling, data exploration and data manipulation , and implemented analytics concepts in several projects in insurance industry Excellent team handling with problem-solving and troubleshooting capabilities and development with SDLC life cycle. Good hands on experience on Text mining and fraud analysis using Python and visualization through Tableau as reporting tools.