Gazal Gupta
About Gazal Gupta
Gazal Gupta is a Senior Business Analyst with extensive experience in machine learning and credit risk modeling. Currently employed at Xceedance, Gupta has a strong background in data analysis and visualization, having previously worked at Newgen Software and NTT DATA FA Insurance Systems.
Work at Xceedance
Currently, Gazal Gupta holds the position of Senior Business Analyst at Xceedance, where she has been employed since 2018. Her role involves leveraging her analytical skills to support business operations and decision-making processes. She is based in Gurgaon, India, and has contributed to various projects that focus on data analysis and machine learning applications.
Previous Experience at Newgen Software
Prior to her current role, Gazal Gupta worked as a Senior Business Analyst at Newgen Software from 2017 to 2018. During her tenure in the Noida Area, India, she engaged in projects that emphasized machine learning and deep learning, utilizing algorithms such as Feed Forward Networks, RNN, and CNN.
Consultant Role at NTT DATA FA Insurance Systems
From 2013 to 2017, Gazal Gupta served as a Consultant at NTT DATA FA Insurance Systems in Bengaluru, India. In this role, she applied her expertise in business analysis and contributed to various projects within the insurance sector, enhancing her skills in data-driven decision-making.
Education and Expertise
Gazal Gupta has a strong educational background with multiple degrees. She earned her M.B.A. in Business, Management, Marketing, and Related Support Services from IBS Business School from 2011 to 2013. Additionally, she holds an MBA in Marketing from IBS Hyderabad during the same period. She completed her B.Tech in Information Technology at Rajasthan Technical University from 2006 to 2010.
Machine Learning and Data Analysis Skills
Gazal Gupta has developed significant expertise in machine learning and data analysis. She engages in projects that involve Credit Risk Modeling, focusing on Probability of Default (PD), Loss Given Default (LGD), and Exposure at Default (EAD). She utilizes advanced data visualization tools such as Seaborn and Tableau and applies feature engineering techniques in Python, using libraries like Numpy and Pandas.