About

Abhinav Sinha is a Senior Analyst at Dun & Bradstreet, where he is responsible for developing ML models and scores for the company's flagship Environment, Social & Governance (ESG) project. With over 3 years of relevant experience in the field of ML and data science, Abhinav has a deep understanding of the latest trends and techniques in this rapidly evolving field. Prior to joining Dun & Bradstreet, Abhinav worked as a Data Scientist at d&b technologies & data services, where he was responsible for developing predictive models and algorithms to support the company's business objectives. In this role, he gained valuable experience in data analysis and machine learning, and developed a strong foundation in statistical modeling and programming. Abhinav holds a Bachelor's degree in Electrical Engineering from the University of Petroleum and Energy Studies, where he graduated in 2018. He also completed his high school education at the Atomic Energy Central School in 2013. Throughout his academic career, Abhinav demonstrated a strong aptitude for mathematics and science, and developed a passion for using data to solve complex problems. In addition to his academic qualifications, Abhinav has a strong technical skill set that includes expertise in ML, data science, and research. He is highly proficient in a range of programming languages and tools, including Python, R, and SQL, and has experience working with a variety of data analysis and visualization tools. Overall, Abhinav is a highly skilled and motivated data scientist with a proven track record of success in developing ML models and scores for complex business problems. He is passionate about using data to drive business value, and is committed to staying up-to-date with the latest trends and techniques in the field.