Achieved significant energy savings through the Energy Usage Data Analysis Project for Scottish Power, Glasgow. Led a comprehensive analysis of energy consumption, pinpointing key efficiency improvement opportunities, resulting in optimized resource utilization and reduced operational costs in 2023.

Spearheaded the development of a sophisticated financial model for sustainability projects using R programming, accelerating decision-making processes by 40% in 2023. Enhanced the accuracy of investment evaluations and aligned financial strategies with long-term sustainability objectives.

Involved in Test Plan, design and deriving test data and creating and reviewing peers test cases in the role of team leader. Prepare reusable methods to improve productivity and maintain ability. Perform Cross browser testing and parallel execution to check the compatibility and stability of the application

Involved in Automation framework implementing Page objects, Data Driven, Selenium Web Driver using Core Java. Extensively automated Regression test using Jenkins

Involved in Test Plan, design and deriving test data andcreating and reviewing peers test cases.

Optimized resource allocation and workflows by proficiently analyzing and visualizing data using tools like Power BI and Microsoft Excel in 2017; transformed technical data into actionable business strategies, enhancing operational efficiency.

Demonstrated prowess in project management and analytical problem-solving by applying hands-on experience and coursework. Excelled in addressing complex engineering challenges, laying a solid foundation for structured problem-solving in business contexts in 2016.

Led a team to create process documents, test plans, and conduct database testing using Java, HTML, Spring Boot, and Hibernate. Defects were tracked in JIRA.

Customized Oracle ERP by integrating sales and service clouds using OIC, with thorough testing and change management.

Developed a database for share market brokerage, mutual funds, and finance processes, using an unattended bot to reduce processing time from 8 hours to 30 minutes.