6+ years of work experience in various domains in data science & analytics ranging from predictive maintenance to social media; Adept in designing machine learning models to solve business problems and understand the data better; Proficient in conveying data insights to end business using appropriate visualizations with the help of Tableau 9 and R; Technical and business knowledge of social media, and its role in conveying customer satisfaction, product reach and similar other metrics. Adroit in Natural Language Processing using R & Python to extract appropriate features to train a machine learning model; Have implemented various Deep Learning models using Google’s TensorFlow library to tackle problems like sentiment and spam classification. I have also finished in Top 2 percentile overall in the ?Kaggle - IMDB movie review sentiment classification challenge? using Convolution Neural Networks along with Word2Vec based vector space embedding. I have also developed a R shiny platform to integrate all in house analytics features in a single window. Highly result oriented person with a lot of passion to help businesses use data science to help make correct decisions on their data.