Pearl Sikka
About Pearl Sikka
Pearl Sikka is a Senior Data Analyst at AXA XL, specializing in data preprocessing and machine learning solutions. She holds a Bachelor's degree in Computer Science from UIET Panjab University and a Master's degree in Data Analytics from the University of Warwick.
Work at AXA XL
Pearl Sikka has been employed at AXA XL, a division of AXA, as a Senior Data Analyst since 2019. In this role, she has independently led the data preprocessing stream for major source systems. Her responsibilities include conducting impact analysis of natural catastrophe exposures globally and creating dashboards to visualize trends and occurrences. Additionally, she developed a voice-based reporting tool using TensorFlow, NLP, SQL, and Python to assist actuaries with case reserves and visualizations. Pearl's contributions have been significant in enhancing data-driven decision-making processes within the organization.
Education and Expertise
Pearl Sikka holds a Bachelor's Degree in Computer Science from UIET Panjab University, where she studied from 2013 to 2017. She furthered her education by obtaining a Master's degree in Data Analytics from the University of Warwick, completing her studies in 2022. Prior to her university education, she achieved a Higher Secondary certificate from K.B.DAV Sr. Sec. School, where she studied Non Medical CBSE. Pearl's educational background provides her with a strong foundation in data analysis and computer science.
Previous Work Experience
Before joining AXA XL, Pearl Sikka worked at Unisys India as an Associate Engineer from 2017 to 2019. In this role, she was based in Bengaluru Area, India. Prior to that, she gained experience as a Summer Research Intern at the Indian Institute of Technology, Kanpur, for five months in 2017. Additionally, she completed a Summer Internship at the Department of Computer Science & Applications, Panjab University, in 2015. These roles contributed to her development in data analysis and engineering.
Technical Projects and Contributions
Pearl Sikka has been involved in several technical projects that showcase her expertise in data analytics. She implemented a machine learning solution using K-Means clustering to automate the profiling of reserve classes. This project reflects her ability to apply advanced analytical techniques to real-world problems. Her development of a voice-based reporting tool also highlights her skills in utilizing modern technologies such as TensorFlow and NLP to improve reporting processes for actuaries.