Nanda has 10+ years of experience in the analysis, design, and implementation of enterprise data solutions for Banking and financial services clients.Most recently, he has been applying his analytical, problem-solving, relationship and team management skills at EY, one of the Big Four consulting firms, focusing on information management, data architecture, and Business Intelligence. His current focus is on enhancing his Data Science skills to solve clients’ complex challenges in a broader range of domains and industries.
In addition to his Data Engineering background and Business Intelligence experience, Nanda is skilled on machine learning models and algorithms, predictive analytics, R and Python development. In his most recent project, Nanda and team took on a Kaggle challenge to predict consumer debt default and achieved the Top #1 position in the Leaderboard out of 925 teams to accurately predict default using advanced model ensemble techniques with stacking, voting classifiers, and hyperparameter Bayesian optimizers. Prior to that, he also worked on the Kaggle Higgs Boson challenge to predict the particle signal with high accuracy, finishing in the Top 2% position out of 1,785 teams. Nanda holds a B.S. in Mechanical Engineering from Anna University, India and a M.S. in Software Engineering specializing in data analysis from the Birla Institute of Technology and Science, India.
NYC Data Science Academy’s mission is to provide accelerated data science training programs that prepare people for employment as data science professionals and to offer continuing education courses for professional development.
