Nirupama Kola
About Nirupama Kola
Nirupama Kola is a Senior Data Analyst at illion in Sydney, Australia, with a diverse background in data analysis and technical support across various companies. Her previous roles include positions at Comestri, DHL, Infosys, Fujitsu, Giesecke & Devrient, BAI Communications, and Steel Authority of India Limited.
Current Role at Illion
Nirupama Kola serves as a Senior Data Analyst at Illion, a position she has held since 2022. In this role, she focuses on data optimization tasks that aim to reduce execution times for data extraction processes. She develops scripts for both one-off and recurring jobs to address and prevent data quality issues. Additionally, she generates monthly reports that include rolling monthly trend graphs and fill rates for the Data Analytics and Insights teams. Her work involves conducting data quality analysis on clients' Comprehensive Credit Reporting Data before it goes live.
Previous Experience
Before joining Illion, Nirupama Kola held various positions in the technology and data analysis sectors. She worked at Comestri as a Technical Services Engineer for six months in 2021-2022. Prior to that, she was an Application Support Officer at DHL for one year in 2010-2011. Her experience also includes roles at Infosys, where she served as a Technology Analyst from 2007 to 2010 and as a Software Developer in 2006. Additionally, she worked at Fujitsu as a Senior Application Specialist for 11 months in 2020-2021 and spent eight years at BAI Communications as an NMS Engineer from 2012 to 2020.
Educational Background
Nirupama Kola studied at the University College of Technology, Osmania University, where she earned a Bachelor of Technology (BTech) degree in Chemical Engineering. This educational foundation has contributed to her analytical skills and technical expertise in her subsequent roles in data analysis and technology.
Technical Skills and Responsibilities
In her current role at Illion, Nirupama Kola is responsible for performing data quality analysis and providing fill rate analysis on claims loaded into the Insurance Reference System in both UAT and Production environments. She is skilled in developing scripts to enhance data integrity and efficiency. Her work is crucial in ensuring that data quality issues are addressed proactively, contributing to the overall effectiveness of the data analytics team.