Chaitna K

Technologies used: Python, Azure SQL Database, SQL (CTEs, Window functions), Azure Data Factory, Azure Machine Learning, K-means, Logistic Regression, Random Forests.

• Analyzed criminal justice datasets with Python (NumPy, Pandas, SciPy) and Azure SQL Database, executing advanced SQL queries (CTEs, Window functions) to extract meaningful insights that informed data-driven decisions.
• Developed automated data pipelines using Azure Data Factory and dashboards with Azure Machine Learning, deploying machine learning models (K-means, Logistic Regression, Random Forests).

Technologies used: Java 8, Spring Boot, Angular.js, MySQL.

• Developed and optimized full-stack web applications and automated data pipelines using Java 8, Spring Boot, and MySQL, enabling real-time analytics and improving data processing efficiency.
• Enhanced application performance by integrating REST APIs in Spring MVC, reducing response time by 10% and increasing system stability by resolving Tomcat and MySQL issues, achieving a 30% reduction in post-release bugs.
• Configured role-based access control (RBAC) and ensured data security compliance with Spring Security, conducting comprehensive unit and integration testing for robust, secure applications.