Business Analyst Power Bi

KIRAN

Boston, MA ************@*****.*** 339-***-****

SUMMARY

I’m a business analyst with 4.5 years of experience in requirements gathering, process improvement, and Agile methodologies. Skilled in creating user stories, process models, and workflow diagrams to align technical solutions with business goals and drive operational efficiency.

TECHNICAL SKILLS

Business Analysis Tools: JIRA, Confluence, AWS, Microsoft Visio, Lucidchart

Data Analysis: SQL, Excel, Power BI s.

Process Modeling: BPMN, UML, Workflow Diagrams.

Project Management: Agile, Scrum, Kanban.

Collaboration Tools: Microsoft Teams, Slack, Zoom

PROFESSIONAL EXPERIENCE

Amazon.com India Jun 2017 – Dec 2021

Sr. Business Analyst

Conducted stakeholder interviews and workshops to gather and analyze business requirements for replacing a legacy reporting system with a modern web application.

Created user stories, use cases, and process flow diagrams to document business processes and functional requirements.

Collaborated with business stakeholders to prioritize features and define the scope of the admin section, ensuring alignment with business objectives.

Facilitated communication between business stakeholders and development teams, ensuring clear understanding of requirements and timely delivery of solutions.

Conducted gap analysis to identify inefficiencies and proposed solutions to improve workflow and user experience.

Supported user acceptance testing (UAT) by creating test scenarios and gathering feedback from end-users.

Documented and maintained project artifacts, including requirements specifications, process models, and test cases, ensuring traceability and compliance.

Supported user acceptance testing (UAT) by creating test scenarios, coordinating testing activities, and gathering feedback from end-users.

Utilized Aws DevOps for backlog management, sprint planning, and tracking project progress, ensuring timely delivery of high-quality solutions.

Machine Learning Data Associate

Analyzed large datasets to improve Alexa’s voice recognition accuracy and natural language understanding (NLU).

Developed and implemented quality assurance (QA) processes for data annotation, improving accuracy by 15%.

Optimized data workflows, reducing turnaround time by 20% through process improvements and automation.

Created dashboards and reports using Tableau and Power BI to track key metrics like annotation accuracy and user satisfaction.

Collaborated with cross-functional teams to align data workflows with business goals and enhance user experience (UX).

Conducted root cause analysis to identify and resolve issues in data annotation pipelines, improving overall data quality.

Facilitated stakeholder workshops to gather feedback and refine data annotation guidelines for better alignment with user needs.

Supported the integration of automated data validation tools, reducing manual effort and improving efficiency.

Key Achievements:

Improved data annotation accuracy by 15% and reduced turnaround time by 20%.

Enhanced user satisfaction scores by 10% through data-driven insights.

Spearheaded the implementation of automated QA tools, reducing manual effort by 30%

Delivered insights from root cause analysis, resolving critical bottlenecks and improving workflow efficiency by 25%.

EDUCATION

Master’s in Business Analytics, Trine University, Arizona Dec 2024

Bachelor’s in Electronics and Instrumentation Engineering, GITAM University, India May 2017

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