As a seasoned data scientist within Financial Services Practice, Ankita specializes in designing, analyzing, and delivering quantitative research utilizing advanced statistical and data science techniques. In her role, she helps augment the qualitative and quantitative research methodologies with more real-world data that strengthens our facts base and empowers the Financial Services leaders with actionable insights on current and forward-looking industry and technology trends, enabling them to craft robust data-driven business strategies. With over 6 years of experience, she possess a robust proficiency in Python, predictive analytics using machine learning, text analytics using NLP, large language models and other AI techniques, PySpark, PostgreSQL, and MySQL for ETL processes. The unique blend of her technical prowess, ability to analyze and manage large data and relevant domain experience positions her as a valuable asset in driving informed decision-making and achieving organizational objectives.
Prior to joining Gartner, Ankita has worked in Retail, Cyber Security, and Travel & Hospitality industry supporting their key business priorities through software development and data science. Her past experience lies in analyzing big data and utilizing relevant technologies to build data science solutions over it. Across these industries, she has worked for products as well as services teams.
M.Tech in Intelligent Systems and Robotics
Post Graduate Certification in Artificial Intelligence and Machine Learning
B.Tech in Electronics and Communications