About

Arpit A. is an Associate Director of Data Science at S&P Global, with over 13 years of experience in the field. He has a strong academic background, having earned a degree in Mechanical Engineering from BITS Pilani, one of India's most prestigious universities, and a data science course from SP Jain Mumbai. Arpit is highly skilled in various programming languages such as Python, R, and SQL, as well as a range of analytical tools and platforms. He specializes in deep learning, NLP, machine learning, and a range of other cutting-edge technologies. Throughout his career, Arpit has worked with a diverse range of organizations, spanning industries such as manufacturing, telecommunications, finance, and e-commerce. He has a proven track record of delivering data-driven solutions that have had a significant impact on business outcomes, from improving customer engagement to optimizing supply chain management. Arpit is experienced in developing custom algorithms and models tailored to specific business needs, and has a keen eye for identifying trends and patterns in complex data sets. He is always eager to take on new challenges and collaborate with teams to drive innovation and achieve business goals. Arpit's past experience includes working as a Lead Data Scientist at S&P Global, and as a Sr. Associate Data Scientist at DMI, where he applied machine-learning techniques such as Random Forest, Gradient Boosting, Logistic regression, etc. to construct credit risk models, developed a module to parse unstructured customer SMS data, and used graph theory to create a network of credit holders, among other achievements. Arpit's tech stack includes Data Scientist, Research Scientist, Python, ML, SQL, Deep Learning, NLP, and Random Forest. With over 10 years of relevant experience, Arpit is a seasoned data scientist with a passion for leveraging the latest technologies and methodologies to drive business success.