Indira Krishnamoorthi
About Indira Krishnamoorthi
Indira Krishnamoorthi is a Senior Data Science Lead with over thirteen years of experience in the IT industry, specializing in machine learning and data science. She has worked at notable companies including Brillio and HARMAN International and holds a Master's degree in Data Science and Engineering from BITS Pilani.
Current Role at Brillio
Indira Krishnamoorthi serves as the Senior Data Science Lead at Brillio, a position she has held since 2022. In this role, she leverages her extensive experience in data science to guide projects and lead teams in developing machine learning solutions. Her focus is on applying data-driven strategies to solve complex business challenges.
Previous Experience at Brillio
Prior to her current role, Indira worked at Brillio as a Data Science Leader from 2020 to 2022. During her tenure, she contributed to various data science initiatives, enhancing the company's capabilities in analytics and machine learning. She also held the position of Senior Data Scientist from 2018 to 2020, where she further developed her expertise in the field.
Professional Background
Indira has over thirteen years of experience in the IT industry, with a strong emphasis on machine learning and data science for the past nine years. Before joining Brillio, she worked at HARMAN International as a Technical Lead in Analytics from 2013 to 2018. Her career began at IBM, where she served as an Application Developer from 2007 to 2011.
Education and Expertise
Indira holds a Bachelor's degree in Computer Science from BMS Institute of Technology, where she studied from 2003 to 2007. She furthered her education by obtaining a Master's degree in Data Science and Engineering from BITS Pilani Work Integrated Learning Programmes, completing her studies from 2019 to 2021. Her academic background supports her passion for data science, machine learning, and mathematics.
Continuous Learning and Development
Indira actively engages in learning and experimenting with data to enhance her skills and knowledge. She is committed to staying updated with the latest trends and technologies in data science and machine learning, which reflects her dedication to professional growth in her field.