Yasaswini Uppaluri

Results-oriented Quality Engineering Analyst with 2 years of experience in ensuring product quality through meticulous testing and process optimization. Proven track record of implementing effective quality assurance strategies, identifying defects, and collaborating with cross-functional teams to drive improvements. Currently pursuing a Master's degree in Computer Science to further enhance technical skills and contribute innovative solutions to the field. A dedicated and detail-oriented professional with a passion for continuous learning and delivering exceptional results.

• Completed a Certification Course on “The Joy of Computing using Python” from NPTEL.
• Completed a Certification Course on “Java for Android” from Coursera.
• Completed a Certification Course on “Introduction to the Internet of Things and Embedded Systems” from Coursera.

Detecting Depression in Tweets using distilBERT 

• Our system is developed using transformer in machine learning which contains a variety of techniques like Bert.
• Successfully employed the ktrain library to streamline the development, training, and deployment of neural networks within our machine learning system.
• Implemented preprocessing techniques using the DistilBERT model, contributing to enhanced data preparation for subsequent phases of the project.
• Played a pivotal role in training the model to identify depressive content within tweets, contributing to the development of an efficient detection system for user-generated content.