Ankur Gupta
About Ankur Gupta
Ankur Gupta is a Senior Manager of Data Science at Iris Software Inc., where he leads a team focused on advanced analytics in the banking and financial sector. He has a strong educational background in data science, business analytics, and information technology, complemented by extensive experience in developing applications for cognitive analytics and natural language processing.
Work at IRIS Software
Ankur Gupta serves as the Senior Manager of Data Science at IRIS Software Inc., a position he has held since 2022. In this role, he is responsible for building a strategic roadmap for Data Science and Advanced Analytics. He focuses on upskilling large teams and establishing best practices within the organization. Gupta leads a team of data scientists on projects specifically in the banking and financial sector, emphasizing areas such as Natural Language Processing (NLP), Deep Learning, and Conversational AI.
Education and Expertise
Ankur Gupta has a strong educational background in technology and analytics. He earned his M.Tech in Data Science and Engineering from the Birla Institute of Technology and Science, Pilani, completing the program from 2020 to 2022. Prior to that, he obtained a Certificate Course in Business Analytics using R from the Indian Institute of Technology, Hyderabad, in 2016. He also holds a B.Tech in Information Technology from Kurukshetra University, which he completed from 2002 to 2006. Additionally, Gupta achieved a Project Management Professional (PMP) certification from PMI in 2016.
Professional Experience
Before joining IRIS Software, Ankur Gupta designed applications for Citibank, focusing on Cognitive Analytics, Natural Language Processing (NLP), and Anomaly frameworks. He has experience managing program development for client-facing Proof of Concepts (PoCs) aimed at enhancing sales and building capabilities. His work in these areas demonstrates his ability to apply advanced analytics in practical settings.
Technical Skills
Ankur Gupta possesses a diverse set of technical skills that support his role in data science. His expertise includes advanced analytics, mathematics, statistics, and data mining techniques. He is proficient in advanced Natural Language Processing (NLP), Python programming, and various data visualization techniques. These skills enable him to lead complex projects and drive innovation in data-driven solutions.