Sushma Paladugu
About Sushma Paladugu
Sushma Paladugu is a Liability Data Analyst with a strong background in data science and analytics. She holds an MSc in Data Science from Middlesex University and has experience working in various roles, including positions at Infosys and Legal & General.
Current Role at Legal & General
Sushma Paladugu currently serves as a Liability Data Analyst at Legal & General, a position she has held since 2022. In this role, she focuses on analyzing liability data to support decision-making processes within the organization. Her responsibilities include gathering, cleaning, and organizing data to ensure it is accessible for both technical and non-technical personnel.
Previous Experience in Data Analysis
Before joining Legal & General, Sushma worked as a Junior Data Analyst at RapidSense Safety Technology from 2021 to 2022. Prior to that, she held the position of Executive at Infosys from 2017 to 2019 in Bengaluru, India. Additionally, she served as an Assistant Manager at KFC UK & Ireland from 2019 to 2022 in London, England. These roles contributed to her extensive experience in data analysis and management.
Education and Qualifications
Sushma Paladugu earned her Master of Science in Data Science from Middlesex University, where she studied from 2019 to 2021. She also holds a Bachelor's degree in Computer Science from JNTU Anantapur, completed between 2012 and 2016. Earlier in her education, she studied at Sri Chaitanya College of Education, achieving a Board of Intermediate Education from 2010 to 2012, and completed her schooling at Don Benny Public School from 2004 to 2010.
Technical Skills and Expertise
Sushma possesses an advanced understanding of various analytical techniques, including statistical and algebraic methods. She has a significant background in Machine Learning, Python, R, and Data Visualization. Her technical skills enable her to effectively analyze complex datasets and present insights in a clear manner.
Professional Attributes
Sushma is recognized for her organizational skills, motivation, and diligence in her professional approach. She is adept at managing data-related tasks and ensuring that data is well-prepared for analysis, which supports her effectiveness in her current role and previous positions.