Business Intelligence Power Bi

Aishwarya Nadendla

+1-731-***-**** - ***********@*****.*** - http://linkedin.com/in/aishwarya-n-522957372

PROFESSIONAL SUMMARY

Analytical and results-oriented professional passionate about transforming complex datasets into actionable business insights. Experienced in designing and optimizing data workflows, building interactive dashboards, and delivering predictive and KPI-driven analytics. Skilled at translating data into strategic recommendations, ensuring compliance and governance, and enabling scalable, high-impact solutions that drive informed decision-making.

EDUCATION

Central Michigan University – Master's in information systems Michigan, USA August 2022 – May 2024

Courses - IT communications, Database systems, Applied data mining, Machine learning & Python, Business intelligence

Bachelor’s - Electronics and Communication - ACE Engineering College Hyderabad, India July 2018 – July 2022

Courses – Data structures & algorithms, Computer networks, Compiler design, Computer architecture, Cryptography, Design and analysis of algorithms, OOPS, DBMS, Operating systems, Embedded Systems

TECHNICAL SKILLS

Business Analysis Tools: JIRA, Confluence, Azure DevOps, MS Visio, Trello

Documentation & Modeling: BRD, FRD, User Stories, Use Cases, Wireframes, Process Flows

Data & Databases: SQL, Python (Pandas, NumPy), R, Excel (Pivot Tables, VBA), Oracle, SQL Server

Reporting & Visualization: Power BI, Tableau, QlikView, SSRS

ETL/ELT & Orchestration: Azure Data Factory, Apache Airflow, Informatica

Testing & QA: UAT, Test Case Design, Defect Triage, API Testing (Postman, SoapUI)

Methodologies: Agile (Scrum, Kanban), Waterfall, SDLC

Domains: Finance, Healthcare, Retail, Compliance

WORK EXPERIENCE

Walmart, Arkansas, USA May 2023 - Present

Business Analyst – Supply Chain & BI

Partnered with business stakeholders to gather, document, and validate requirements for supply chain analytics and operational dashboards, producing BRDs, FRDs, and user stories with clear acceptance criteria.

Designed, developed, and optimized ETL workflows and data pipelines using Azure Data Factory, Apache Airflow, SQL, and APIs, integrating data from SAP, Oracle ERP, and third-party sources, while ensuring high-quality datasets and reducing manual reporting by 35%.

Delivered actionable insights through Power BI and Tableau dashboards, optimized Azure Synapse queries for 40% better performance, conducted GAP analysis of legacy vs. cloud BI solutions, and supported UAT and end-user training for scalable, data-driven decision-making.

Bank of America, Hyderabad, India Oct 2021 – Aug 2022

Technical Data Analyst

Utilized SQL, Snowflake, and Alteryx to clean, process, and automate data workflows, improving efficiency in data analysis.

Developed interactive Power BI dashboards to present KPIs, delivering actionable insights to both technical and non-technical stakeholders.

Collaborated with cross-functional teams to align analytics with business objectives, optimized queries for performance, and provided data-driven insights that supported strategic decision-making and revenue growth.

CVS Health, Hyderabad, India Oct 2020 - Oct 2021

Business Intelligence Analyst

Assisted in gathering and documenting requirements for healthcare claims and EHR analytics, capturing workflows for eligibility, claims processing, and patient data management while collaborating with SMEs to align business and technical needs.

Developed and maintained interactive dashboards in Tableau and Power BI to track clinical performance metrics and claims efficiency, enhancing reporting speed, usability, and data-driven decision-making.

Performed data cleansing, transformation, and validation using SQL and Excel, and partnered with QA teams to review test cases, validate UAT results, and manage defects in JIRA, ensuring accurate, high-quality system enhancements.

ACADEMIC PROJECTS

EV Adoption & Infrastructure Readiness Analysis (Power BI + Python Project) March- 2024

Analyzed EV registration and charging infrastructure trends across six U.S. states using multi-source government datasets.

Built star and snowflake schema models in Power BI and developed dashboards to track adoption trends, market leadership, and forecast EV growth through 2030.

Developed Charging Gap and Urban Stress Scores to identify high-risk counties, supporting policy and strategic planning aligned with BTS’s eVIUS initiative.

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