I am a data evangelist and a social entrepreneur. I believe data is the engine to bring intelligence into a product. I formulate this intelligence into a product by building Machine Learning pipelines, which helps organizations to smartly engage with the end users and grow 10x times. I have half a decade of experience in solving real world use cases in the fields such as data visualization, statistical modelling, classic machine learning, A/B testing,time series forecasting, deep learning and text mining. I have built state of art machine learning pipelines in industries such as financial services, edTech, restaurant, retail, adTech with specialization in optimization, bias and variance trade off, hyper parameter tuning, extended learning, detection algorithm, neural networks and structuring ML projects. My perseverance and passion for numbers led me from a research fellow in a social entrepreneur fellowship to a data scientist now. I aim to learn every day. I now focus to gain expertise in natural language processing and reinforcement learning by participating in data science hackathons and competitions.