Shree Prada Devaraju
About Shree Prada Devaraju
Shree Prada Devaraju is a Data Analyst Intern currently working at ACTO and has previous experience at SAP and TheSmartBridge. She holds a Postgraduate Diploma in Big Data Analytics from Lambton College and a Bachelor of Engineering in Computer Science from Stanley College of Engineering and Technology for Women.
Work at ACTO
Currently, Shree Prada Devaraju serves as a Data Analyst Intern at ACTO, a position she has held since 2023. This role is conducted remotely from Canada and has a duration of 10 months. During her internship, she has been involved in various data analysis projects, including conducting sentiment analysis on user-generated content, which contributed to a 10% increase in positive user feedback.
Previous Experience at SAP
Shree Prada Devaraju worked as a Data Analyst at SAP from 2021 to 2022 in Bengaluru, Karnataka, India. Her responsibilities included analyzing data sets and contributing to projects that required in-depth data interpretation. This experience provided her with a solid foundation in data analytics and enhanced her technical skills.
Internship at TheSmartBridge
In 2020, Shree Prada Devaraju participated in the Smart Bridge Summer Internship Program at TheSmartBridge in Hyderabad, Telangana, India. This internship lasted for one month and allowed her to gain practical experience in the field of data analysis, further developing her analytical skills.
Education and Expertise
Shree Prada Devaraju is pursuing a Postgraduate Diploma in Big Data Analytics at Lambton College, which she began in 2023 and is expected to complete in 2024. Prior to this, she earned a Bachelor of Engineering in Computer Science from Stanley College of Engineering and Technology for Women, completing her studies from 2017 to 2021. Her educational background equips her with a strong understanding of data analytics principles and techniques.
Projects and Contributions
During her internship and academic pursuits, Shree Prada Devaraju has developed several projects that showcase her skills in data analysis. Notably, she designed a personalized recommendation system based on user behavior, which led to a 25% increase in user interaction with recommended content. Additionally, she developed a chatbot using NLP techniques to enhance real-time interaction and user engagement.