Pallavi Katta
About Pallavi Katta
Pallavi Katta is a Cloud Ops, Machine Learning Devops Senior Associate at Fannie Mae with a background in Electrical, Electronics, and Communications Engineering.
Current Role at Fannie Mae
Pallavi Katta is currently employed at Fannie Mae as a Cloud Ops, Machine Learning DevOps Senior Associate. She is based in Virginia, United States. Her role encompasses the management of cloud infrastructure and the implementation of machine learning projects within a DevOps framework. She brings her expertise in both cloud operations and machine learning to help streamline processes and improve efficiencies.
Previous Positions at Accenture AI
Pallavi Katta has held several positions at Accenture AI. From 2020 to 2021, she worked as a Digital Data Consultant for 6 months. Prior to that, she served as a Digital Data Senior Analyst from 2019 to 2020 and as a Digital Data Analyst from 2018 to 2019. Her roles were based in New Jersey, United States, and involved digital data consulting and analysis, leveraging her skills in data analytics and engineering.
Experience at Kogentix Inc.
Before joining Accenture AI, Pallavi Katta worked at Kogentix Inc. as a Big Data Engineer from 2017 to 2018. Located in Schaumburg, Illinois, this role provided her with valuable experience in big data technologies and engineering practices, setting the foundation for her transition into digital data analysis and consulting.
Educational Background
Pallavi Katta studied at the New York Institute of Technology from 2015 to 2017. Additionally, she holds a Bachelor of Engineering (BE) in Electrical, Electronics, and Communications Engineering from Sreenidi Institute of Science & Technology, where she studied from 2011 to 2015. Her educational background laid the groundwork for her career in cloud infrastructure, DevOps, and machine learning.
Skills and Expertise
Pallavi Katta has developed a diverse skill set throughout her career. She possesses proficiency in cloud operations, and DevOps, and has working experience with various relevant tools. She also has experience in machine learning projects executed within a DevOps environment. Her transition from roles in big data engineering to digital data analysis and consulting reflects her versatility and competence in handling complex technical challenges.