Business Analyst Power Bi

Sai Vakula Bikkumandla

+1-945-***-**** *********.*******@*****.*** LinkedIn

TECHNICAL SKILLS

Languages SQL, Python, SAS, R, C, HTML, CSS

Tools Microsoft Excel, SQL Management Studio, Power BI, Microsoft Azure, Tableau, NoSQL, ETL, Projectmates Data Analysis Statistical Analysis, Data Mining, Regression Analysis, ANOVA, Hypothesis Testing TECHNICAL Cloud Technologies WORK EXPERIENCE AWS (EC2, DynamoDB, S3, Redshift) Business Analyst Intern – Dillon Morgan Consulting Co., Aug 24 - Present

• Spearheaded the development of automated Tableau dashboards, replacing manual reporting processes, which reduced report generation time by 7 hours weekly and allowed senior leaders to focus on strategic initiatives.

• Performed data validation and QA testing on ETL pipelines and data models to ensure data integrity, while developing customized Smartsheet dashboards in EC2 that enhanced real-time project visibility—resulting in a 95% client satisfaction rate.

• Led UAT sessions with cross-functional teams to gather feedback on advanced data tracking and reporting functionalities in Project mates, incorporating iterative improvements that enhanced user experience. Student Data Assistant, Alumni and Development Relations - The University of Texas at Dallas Jun 23 – Jul 24

• Designed and executed QA test plans to ensure data accuracy and dashboard reliability in Power BI solutions, consistently delivering high-quality outputs that exceeded client expectations.

• Facilitated seamless hand-off from development to business users through structured UAT walkthroughs and iterative feedback loops, while applying advanced analytical techniques—such as hypothetical testing—to improve data accuracy by 30%.

• Enhanced strategic outcomes by 30% using NoSQL technologies to convert complex datasets into clear visualizations and actionable insights, driving executive decision-making.

Quality Analyst (Tier -III), Netflix - InTouchCX Jul 22 - Jan 23

• Developed optimized data pipelines utilizing Amazon Redshift, decreasing query processing time by 40% and improving data accessibility for 50+ internal stakeholders across content and marketing teams.

• Partnered with the technical team to improve database operations by 35% through SQL-based stored procedures and triggers, while creating and maintaining UAT test cases and documentation to ensure production readiness and smooth release sign-offs.

• Participated in sprint planning and QA reviews to align testing strategies with Agile development cycles, while consulting with cross- functional teams to deliver data-driven recommendations—improving project outcomes by 20% through strategic guidance. Senior User Experience Analyst-IBM / Kyndryl Jun 19 - Jul 22

• Maintained up-to-date knowledge of security and privacy requirements, ensuring all data underwent rigorous reviews, resulting in a 20% reduction in compliance issues for Telstra Company.

• Enabled business leaders across Operations to improve decision accuracy by 15% through actionable insights, while supporting end-users during UAT by providing guidance, resolving issues, and ensuring system functionality aligned with business needs.

• Documented and tracked defects in collaboration with developers to ensure timely resolution and high-quality releases, while optimizing MongoDB configuration for data storage and retrieval—boosting database read performance by 20%. Customer and Business Insights Analyst Intern - Amazon Development Center Sep 16 - Feb 17

• Mitigated risks of miscommunication between customer stakeholders and development teams by designing and executing comprehensive QA test plans, ensuring data accuracy and dashboard integrity in Power BI solutions for seamless product delivery.

• Implemented automated QA checks and root cause analysis to resolve data discrepancies, enhancing processes with Google BigQuery in an agile environment, resulting in a 60% increase in global campaign efficacy.

• 20% faster processing times and improved data availability were achieved by implementing a scalable and real - time data warehousing system using AWS EC2 and DynamoDB.

ACADEMIC PROJECTS

• Energy Consumption Analysis: Utilized Python, SQL, and Power BI to identify trends and anomalies, providing EDUCATION recommendations that resulted in a 10% reduction in energy usage. Master of Science in Business Analytics and Artificial Intelligence (Data Science) GPA: 3.89 The University of Texas at Dallas, USA Jan 23 – Dec 24 Bachelor of Commerce (Computer Science) GPA: 3.75

CERTIFICATIONS St. Francis College for Women, Hyderabad, India May 2016 – Jun 2019 AWS Cloud Practitioner Certificate

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