Nagesh is a highly skilled statistician with a wealth of experience and expertise in the field of data analysis. He holds an Engineering degree and a Ph.D. in Statistics, with a research focus on experimental design. With over 10 years of experience in statistical analysis, including academic research, Nagesh possesses a deep understanding of data analytics and statistical modeling.
As the Head of Data Science, Nagesh plays a pivotal role in empowering lenders with advanced analytics and data-driven insights. His expertise has been instrumental in developing personalized experiences for consumers, identifying responsible gameplay, and prioritizing product innovation. With an affinity for hyper-personalization, Nagesh advocates the use of ML techniques to enhance user experiences. Nagesh’s journey also includes significant work at renowned organizations such as Games24x7, Razorthink Technologies, and PayPal, where he contributed to the development of fraud detection models, credit risk assessments, and deep learning models for product innovation.
Nagesh’s Ph.D. work involved experimental design and statistical consulting, leading to published papers in both statistical and engineering (nano technology) journals. His specialties encompass a wide range of areas, including credit risk, fraud detection, consumer behaviour modeling and product innovation. He holds an impressive academic background, having studied at prestigious institutes like Georgia Institute of Technology, ISI Kolkata, and NITK Surathkal. In his professional journey, Nagesh has demonstrated excellence in delivering machine learning models that impact the financial sector positively. His contributions include credit risk and fraud detection models that significantly influenced company bottom lines. With a profound understanding of consumer behavior, Nagesh leverages exogenous consumer information to optimize product experiences and maximize business outcomes.
In addition to his statistical and analytical prowess, Nagesh enjoys exploring other interests like fast math, Vedic mathematics, badminton, and learning spoken languages. His diverse skill set and commitment to delivering data-driven solutions make him an invaluable asset to our organization.