About

Abhinav Ankur is a highly motivated and skilled Data Science Intern at NORC, currently leading the team at UIUC for Amazon Simbot Challenge. With a Bachelor's degree in Computer Science from Lovely Professional University and a Master's degree in Statistics from the University of Illinois Urbana Champaign, Abhinav has a strong academic background in both computer science and statistics, which makes him a perfect fit for his current role. Abhinav Ankur is a results-driven professional with 3.51 years of relevant experience in the field of data science. He has a deep understanding of data analysis, machine learning, and statistical modeling. He has also completed a Nanodegree in Machine Learning - Introduction with PyTorch from Udacity, which has helped him to hone his skills in deep learning and natural language processing. Abhinav has a proven track record of success in his previous roles. He was the President of the Illini Statistics Club, where he led a team of students to organize various events and workshops related to statistics. He was also a member of the American Statistical Association (ASA), where he contributed to the development of statistical methods and provided valuable insights to the community. Abhinav's technical expertise includes data wrangling, exploratory data analysis, data visualization, and predictive modeling. He is proficient in programming languages such as Python, R, and SQL. He has worked on various projects related to sentiment analysis, customer segmentation, and predictive modeling, which have helped him to develop a deep understanding of data science concepts. Abhinav is a quick learner and an excellent team player. He has excellent communication skills and can effectively collaborate with cross-functional teams to achieve project goals. He is passionate about leveraging data to drive business value and is always looking for ways to improve his skills and knowledge. In summary, Abhinav Ankur is a highly skilled and motivated data science professional with a strong academic background and relevant experience. He has a proven track record of success in his previous roles and possesses a deep understanding of data science concepts. He is a quick learner, an excellent team player, and is passionate about leveraging data to drive business value.