Suraj Kumar Thotla

• Working as a Business analyst, responsible for requirement gathering, analyzing and delivering the project as per the business requirements.
• Providing grooming to development team on requirements and suggesting the best suitable optimal processes for application development as per Business requirement.
• Documenting APIs Specs for different services. Creating the sprint plans and monitoring the sprints for timely delivery of Business projects. Creation and tracking of user stories, tasks and bugs in JIRA.
• Verifying the code delivery and providing timely feedback to development team and getting the issues fixed in early development stage.
• Conducting regular meetings with stakeholders (Business and Development Teams). Assist and present demos to business stakeholders. Documentation and presentation to Business.

1. Requirement gathering and analysis for data analytics projects.
2. Ensuring data quality and integrity throughout the analytics process.
3. Collaborating with stakeholders to define acceptance criteria for data analytics solutions.
4. Creating and executing test plans and test cases for data analytics models and algorithms.
5. Conducting data validation and verification activities.
6. Identifying and reporting data anomalies, inconsistencies, and errors.
7. Participating in data governance initiatives to ensure compliance with quality standards.
8. Contributing to the development and improvement of QA processes and methodologies in the context of data analytics.
9. Working closely with data engineers and data scientists to validate data pipelines and algorithms.
10. Providing feedback to development teams based on QA findings to improve data analytics solutions.
11. Documenting QA processes, test results, and findings for reference and audit purposes.
12. Supporting user acceptance testing (UAT) efforts for data analytics applications.
13. Conducting root cause analysis for data-related issues and recommending corrective actions.
14. Keeping abreast of industry trends and best practices in data quality assurance and analytics testing.
15. Collaborating with cross-functional teams to ensure alignment between business objectives and QA efforts in data analytics projects.

Responsibilities:
• Developing and executing comprehensive test plans and cases for product features and requirements.
• Analyzing current and new products to pinpoint and resolve intricate technical issues, while also documenting defects for the Development Team.
• Performing manual testing of web applications to identify and log functionality issues.
• Communicating and documenting test results, providing valuable feedback to the Development Team.
• Creating and maintaining accurate product documentation to ensure quality standards are met.

Highlights:
• Successfully provided solutions to various technical problems of varying scope and complexity.
• Implemented a new testing methodology that resulted in increase in identifying and resolving technical issues through manual testing, improving product quality and customer satisfaction.
• Collaborated with cross-functional teams to streamline the testing process, resulting in reduction in the time required for test case development and execution, enhancing overall product delivery efficiency.