Having 5 years professional experience in the field of data science and machine learning I can confirm that I love to connect mathematical, statistical, computational and experimental principles to solve real-life/business problems. My field of interest is product analytics, financial intelligence, experimentation, internet of things.
My way of solving business problem: Listen to business and understand what business need, translate a problem into a mathematical model, identify the right data to answer questions, formulate several approaches, combine the solutions, and finally develop and deploy them into the production environment using state-of-the-art technologies, validate the result using different online and offline testing techniques including Bayesian data analysis techniques.
My passion is to spend time in model stacking, train neural network on multidisciplinary data, finding the meaningful pattern on very large and diverse data. Bringing models into production grade system has brighten my profile. I am equally efficient in building backend system using different Java or Python frameworks.
My skill of machine learning specialised in deep learning with the skill of building software on the top of this gives me the flexibility to work in variety of teams, tech-stack and business requirements.