Managed intricate bookstore databases and conducted financial data analysis on the transaction records.Oversaw transactions database, ensuring data precision and compliance with transaction history, with 200K records free of anomalous transactions.Utilized Tableau to design KPI dashboard for payment pattern analysis of bookstore transactions,incorporating metrics such as transaction volume,average transaction value, frequency of purchases, and revenue trends.

● Improved test efficiency through strategic test automation and optimization with Selenium, Java, TestNG, Cucumber, and Maven, and effectivelycommunicated insights to project teams and clients.● Converted manual regression tests to automated integration tests and scripts using the jUnit framework, significantly speeding up the regressiontesting process. Identified areas and test cases for automation, and designed comprehensive test scenarios.● Engineered validation of 600+ regression test cases using Selenium and Java, saving 5+ hours of manual testing per quarterly release.● Utilized Postman for reliable API testing and validating endpoints contributing to robust software integration and functionality.● Collaborated with cross-functional teams, including developers, product managers, and business stakeholders, to understand requirements anduser stories related to API functionalities.● Developed BDD tests using Cucumber by writing detailed behaviors and step definitions, and created the necessary Selenium support code inJava to ensure seamless execution of the Cucumber tests.● Led software quality assurance initiatives, showcasing versatility by working across four programming languages and methodologies, ensuringtop-notch quality for critical projects.● Supervised system-level and regression testing for mainframe applications using JCL, COBOL, and DB2, ensuring high software quality.● Gained extensive experience with Agile methodology, actively participating in sprints, daily stand-ups, and retrospectives to improve testingprocesses, enhance team collaboration, and ensure timely delivery of high-quality software products.

Executed research plan for RF Localization in aircraft, using Machine Learning Techniques(KNN) and Neural Networks to train algorithms for Multipath information and verify positioning of sensors with 12.8% accuracy increment.Initiated applied data engineering, machine learning, and data analysis skills for precise sensor placement in aircraft systems, facilitating automated evaluation of sensor positioning for improved performance leading a team with size of 5.

Developed an Android-based system for real-time slope collaboratively by mining with initiation of Java, Android Application Framework Architecture, and APIs and communicated results commanding a team of 2.Integrated machine learning algorithms with 4.5% efficiency improvement, including TensorFlow or Scikit-Learn, to predict slope instability, while creating an efficient data pipeline for data ingestion, preprocessing, and storage.