I am an adept researcher and learning enthusiast of technology with an extensive 8+ years in IT industry leading software development engineer team, by an expertise in system design, software development and strong background in applied mathematics & statistics and passion to work on building scalable and robust software applications from design to development by solving business problems and deploy machine learning models to assist in the solving edge cases using decision making sciences which offers a good business value preposition to organizations. My interests are in the field of Backend Engineering, Scalability, Distributed Systems, Artificial Intelligence, Cloud & Full Stack development. Developing projects, write research papers and compete through hackathons. I also have rich a experience in the Data Science - Machine Learning , Artificial Intelligence from a Masters in Applied Data Science at Indiana University, where I took some challenging projects to understand what I truly like in Engineering Space. Currently, I am working with The Polis Center as Data Engineer solving some challenging big data problem to streamline their data lake strategy for their community based analytics. In my leisure I often tend to work with Cloud Technologies, Machine Learning & Deep Learning Algorithms and write some expert opinions in articles and major trade journals. I am passionate about latest cutting-edge technology which are solving unique problems in wide range of domains and apply to scale any system. I always love to try out new technologies, attend conferences & teach people to code. Skills: Programming Languages: Python, R, SQL, PHP, Java, HTML, CSS, Java Script, React JS Framework: Spark, Kafka Web/Cloud: AWS, Azure, Docker, Jenkins Machine Learning: Pandas, Numpy, Scikit Learn, Keras, Tensor Flow, H2o OS: Linux, Windows Databases: MySQL, MongoDB, HBase, Oracle, PostgreSQL