About

Dinank is an experienced Data Scientist with a demonstrated history of working in the data science field. He is adept at building end-to-end solutions for complex business problems. Dinank completed his Masters in Economics from the Delhi School of Economics, which equipped him with highly mathematical and statistical tools through advanced courses like Econometric Methods and Game theory. He also passed the CFA Level 1 examination. Dinank has worked with several prominent organizations in the past, including Credit Suisse and Walmart. Currently, he is working as a Quantitative Researcher at MSCI Inc. Dinank has also worked as a Data Scientist/Economist at Credit Suisse and as a Data Scientist at Kristal.ai. Dinank's technical skills include Python, R, Hive, Teradata, Bloomberg, and MS-Office. He has experience working with research scientist, data scientist, machine learning, Apache Hive, SQL, AI, deep learning, neural networks, and GCP. Overall, Dinank has 6.36 years of relevant experience and is highly skilled in data science. He is a dedicated professional who is passionate about solving complex business problems using cutting-edge technology.