Priyanka Padinam

• AWS Developer Associate
• Java
• Python

Group Expense Tracker, 03/2024 to 07/2024       – Java, Spring Boot, MySQL, AWS 

• Designed and developed a Java-based solution to manage complex shared expenses among group members.
• Implemented Spring Boot for back-end services, MySQL for data storage, and integrated AWS for cloud deployment.
• Reduced manual work by 80% through automation of individual contribution calculations and equitable settlement plans.
• Achieved performance scalability by leveraging microservices architecture.

 HS Code Classification, 09/2023 to 12/2023       – Python, KeyBERT, Neural Networks 

• Built a classification model with 94% accuracy to predict HS-Codes for import/export products.
• Utilized KeyBERT for keyword extraction, and applied SMOTE for advanced sampling to balance the dataset.
• Deployed the model on AWS Lambda, reducing classification time by 60%.

TrackStar Website, 03/2023 to 04/2023       – React.js, Node.js, MongoDB    

• Developed a full-stack website for showcasing songs and artists, enabling users to rate, comment, and interact with content.
• Leveraged React.js for the front-end and Node.js with MongoDB for the back-end.
• Incorporated RESTful APIs and deployed on Render.js, with over 1,000 active users within the first month.
• Implemented role-based access for verified users to prioritize trustworthy reviews, improving content credibility by 40%.

Data Mining on Articles, 06/2022 to 07/2022       – MySQL, ETL, XML, ggplot2  

• Built logical data model and relational schema in MySQL, enhanced ETL skills by extracting data from a 10-million-line XML document.
• Cleaned, transformed, and loaded data into the relational database using stored procedures to validate and secure the data.
• Created an analytical database implementing a Star schema for efficient data retrieval and provided quick results for analytical queries.
• Performed data mining for insights and visualized results using ggplot2.