Sreesai Kothapalli

• Dynamic software Analyst, adept in translating complex requirements into actionable software solutions. Leveraged SQL and Python to enhance data integrity and automate testing processes, boosting efficiency. Skilled in fostering stakeholder collaboration and driving project success through innovative problem-solving and meticulous quality assurance.

Three years of experience as a Software Analyst and Associate Software Engineer in financial services and CRM industries. Proficient in conducting comprehensive requirements gathering sessions to translate business needs into functional specifications. Skilled in analyzing existing software systems and processes to identify areas for improvement and optimization. Experienced in designing and documenting detailed software requirements, use cases, and user stories. Collaborative team player, adept at closely working with development teams to ensure alignment between requirements and implementation. Strong testing background, including functional, regression, and user acceptance testing. Ability to develop and execute test plans, test cases, and test scripts to validate software functionality and performance. Proficient in utilizing bug tracking systems such as JIRA to document and track defects, ensuring timely resolution. Experienced in providing support and troubleshooting assistance to end-users, addressing software-related issues and inquiries. Familiar with software deployment activities, including planning, coordination, and post-deployment validation. Contributed to continuous improvement initiatives by providing feedback and suggestions for process enhancements. Stayed informed about industry trends and best practices in software development and analysis, continuously enhancing skills and knowledge. Proficient in Python, SQL, JIRA, and Microsoft Office Suite. Implemented agile methodologies to streamline development processes and improve project delivery efficiency. Skilled in conducting manual QA testing to ensure software functionality and user acceptance, and employing SQL queries for efficient data retrieval and report generation.