Saranya Muralidharan
About Saranya Muralidharan
Saranya Muralidharan is a Data Analyst with expertise in integrating and monitoring ETL pipelines and utilizing various AWS services. She holds a Master's degree in Computer Applications from PSG College of Technology and has experience working at LatentView Analytics.
Work at LatentView Analytics
Saranya Muralidharan has been employed at LatentView Analytics as a Data Analyst since 2020. In this role, she focuses on integrating and monitoring ETL pipelines, which are essential for preparing and transforming data for APIs. Prior to her current position, she completed a nine-month internship at LatentView Analytics, where she gained practical experience in data analysis. Her contributions include building demos for client pitches using web frameworks such as Angular and ReactJS.
Education and Expertise
Saranya Muralidharan holds a Master of Computer Applications, which she earned from PSG College of Technology from 2017 to 2020. She also obtained a Bachelor's degree in Computer Science from Valliammal College For Women, completing her studies there from 2014 to 2017. Her educational background provides her with a strong foundation in computer applications and data analysis.
Technical Skills and Tools
In her role as a Data Analyst, Saranya utilizes a variety of AWS services, including S3, Lambda, Redshift, DynamoDB, EMR, EC2, and ECS. She is also experienced in code versioning activities using Git and CodeCommit, which are critical for managing changes in code and collaborating with other developers. Her technical skills enable her to effectively handle data-related tasks and contribute to project success.
Background
Saranya Muralidharan began her academic journey in computer science, leading to her professional career in data analysis. Her experience includes both internships and full-time roles, allowing her to develop a comprehensive understanding of data integration and transformation processes. She has worked in Chennai, Tamil Nadu, India, where she has contributed to various projects in the field of data analytics.