Srujana Mereddy
About Srujana Mereddy
Srujana Mereddy is a Data Governance Analyst II at Exeter Finance in Dallas, Texas, where she has worked since 2018. She holds a Master's degree in Management Information Systems from Oklahoma State University and has experience in data analysis, reporting, and statistical techniques.
Work at Exeter Finance
Srujana Mereddy has been employed at Exeter Finance as a Data Governance Analyst II since 2018. In this role, she has contributed to various data governance initiatives, focusing on data integrity and compliance. Based in Dallas, Texas, she collaborates with cross-functional teams to enhance data management practices. Her responsibilities include conducting data mining and modeling to address default loan issues, utilizing tools such as R, SQL, and PowerBI to generate insights and reports for senior management.
Education and Expertise
Srujana Mereddy holds a Master's degree in Management Information Systems from Oklahoma State University, where she studied from 2016 to 2018. Prior to this, she earned a Bachelor's degree in Electrical, Electronics and Communications Engineering from Jawaharlal Nehru Technological University, completing her studies from 2012 to 2016. Her educational background provides a strong foundation in both technical and analytical skills, which she applies in her current role in data governance.
Background
Before joining Exeter Finance, Srujana Mereddy worked as a Data Science Analyst at InfoMaple for three months in 2018. She also served as a Graduate Teaching Assistant at Oklahoma State University from 2016 to 2018, where she supported academic programs. Earlier in her career, she completed a five-month internship as an Electrical Control Engineer at Bharat Heavy Electricals Limited in Hyderabad, India, in 2015. This diverse background has equipped her with a range of skills applicable to data analysis and governance.
Technical Skills and Tools
Srujana Mereddy possesses extensive hands-on experience with various data mining techniques, including ANOVA, Linear Regression, and Neural Networks. She is proficient in hypothesis testing methods such as t-tests, paired t-tests, and Chi-square tests. Additionally, she is adept at using Tableau for creating ad-hoc analyses, reports, and dashboards that meet specific business needs. Her technical skills enable her to effectively analyze data and present findings to stakeholders.