VAISHNAVI GOLLAGADDA
Tampa, FL ***** • 813-***-**** • *********************@*****.***
Professional Summary
Results-driven Business Analyst with over 5 years of experience delivering data-driven solutions in Agile environments across banking, finance, and education sectors. Proven ability to gather and translate business requirements into actionable insights and scalable solutions. Skilled in process optimization, risk assessment, stakeholder engagement, and end-to-end project delivery. Technically proficient in SQL, Python, Tableau, Power BI, Excel, and Azure Data Factory, with hands-on experience in SSIS, SSRS, Snowflake, and SAP BusinessObjects. Adept in using Jira, Confluence, and Azure DevOps for project tracking and collaboration. Strong expertise in data modeling, dashboard development, API integration, and machine learning applications. Certified Scrum Master and Green Belt in Six Sigma, committed to continuous improvement and operational excellence.
Skills:
• Data Integration Tools: SSIS, Azure Data Factory, Informatica, Talend
• Reporting & BI Tools: SSRS, Power BI, Tableau, Excel (Power Query/Pivot), QlikView, Jenkins
• Databases & Data Platforms: SQL Server, MySQL, Snowflake, Oracle DB, Hubble, Datadog
• Programming & Scripting Languages: SQL, Python (Pandas, NumPy), R, Splunk
• Frameworks & Technologies: Angular, .NET, Hadoop ecosystem (HDFS, Hive)
• APIs & Development: RESTful API development and integration, Postman, Swagger, JSON/XML
• Data Analysis & Modeling: Data Mining, Predictive Modeling, Regression Analysis, Time Series Forecasting, Machine Learning (scikit-learn, Azure ML Studio)
• Banking Domain Expertise: Risk Management, Regulatory Reporting (Basel III, CCAR), AML/KYC Compliance, Fraud Analytics, Credit & Loan Processing, Treasury & Payments
• Project & Process Management: Agile, Scrum, Kanban, JIRA, Confluence, SDLC, BPMN, Visio, Agile Software Development
• Tools for Testing & UAT: Selenium, TestRail, ALM/QC, Azure DevOps (Test Plans)
• Cloud & Infrastructure: Azure (Data Lake, Synapse), AWS (Redshift, QuickSight), GCP (BigQuery)
• Certifications: Certified Scrum Master (CSM), Green Belt Six Sigma, CBAP (Certified Business Analysis Professional), PMP
Work Experience:
Senior Business Analyst 05/2024 to Current
CapitalOne – Tampa, FL
• Developed interactive reports in SAP BusinessObjects to monitor production performance metrics, providing key insights to senior leadership.
• Executed comprehensive audits of existing risk controls to evaluate compliance and operational effectiveness across business units.
• Designed and implemented robust audit plans and risk assessment frameworks to systematically evaluate operational, financial, and strategic risks.
• Leveraged industry-standard risk analysis tools to quantify and prioritize risk exposures, enabling targeted mitigation strategies.
• Led the full project lifecycle for multiple complex initiatives under Agile (Scrum) and SDLC methodologies, ensuring on-time delivery within scope and quality benchmarks.
• Authored detailed Business Requirement Documents (BRDs) and Functional Requirement Documents (FRDs) for service enhancements and maintained traceability in Azure DevOps.
• Partnered with QA teams to develop and execute comprehensive test cases, ensuring high-quality deliverables across multiple applications.
• Customized Jira workflows, dashboards, and custom fields to align with evolving business and technical requirements across cross-functional teams.
• Supported the development of banking products by analyzing customer behavior data and identifying actionable trends to improve service offerings.
• Performed advanced ETL processes and data analysis using SQL Server, enabling strategic business insights through complex queries, joins, subqueries, and window functions.
• Applied a strong foundation in business analysis and project management to resolve cross-functional challenges and streamline delivery.
• Utilized SAP BusinessObjects and ServiceNow Performance Analytics to identify operational trends, uncover process inefficiencies, and recommend data-driven improvements. Technical Business Analyst 01/2023 to 05/2024
University Of South Florida – Tampa, FL
• Led the complete redesign of the university’s Oasis portal, leading to a 40% reduction in user complaints and significant improvements in system security and data privacy compliance.
• Developed advanced data tools using SQL, Python, and TensorFlow, resulting in a 30% increase in decision-making accuracy.
• Designed and implemented RESTful APIs to enable seamless integration and communication across distributed application components.
• Deployed machine learning models as Python packages and APIs within a microservices architecture, orchestrated via Kubernetes and containerized using Docker.
• Conducted comprehensive User Acceptance Testing (UAT) to validate business requirements related to financial aid, student data management, and privacy regulations.
• Oversaw Spark Databricks cluster operations, including capacity planning, monitoring, and troubleshooting, and performed complex data manipulation using Spark DataFrame API.
• Executed ETL processes using SSIS, centralizing data from multiple sources into a unified reporting database.
• Enhanced reporting accuracy through advanced Excel functions such as VLOOKUP, enabling actionable insights.
• Developed and executed real-time business logic pipelines using Kafka and Spark Streaming, supporting operational data transformations.
• Implemented operational risk controls to detect and mitigate fraud and transactional errors, ensuring adherence to internal and external compliance standards.
• Mentored team members on best practices for regulatory reporting, fostering consistency and high- quality deliverables.
• Delivered high-impact PowerPoint presentations to university stakeholders, clearly communicating insights and proposed enhancements, contributing to a 40% boost in user satisfaction. Senior Business Analyst II – LMAQ 06/2021 to 07/2022 Amazon – Hyderabad, India
• Led cross-functional initiatives through the entire SDLC, applying both Agile (Scrum) and Waterfall methodologies to deliver scalable, high-quality business solutions aligned with strategic goals.
• Collaborated with SAP developers, product managers, and infrastructure teams to troubleshoot critical system issues, ensuring minimal business disruption and timely resolution of production incidents.
• Designed and maintained custom Jira dashboards using advanced JQL to monitor team performance, visualize risk exposure, and align delivery progress with key business milestones.
• Integrated Non-Financial Risk Reporting (NFRR) requirements into enterprise systems, enabling real- time data flows and ensuring compliance with internal audit and regulatory standards.
• Defined and monitored key performance indicators (KPIs) and control measures, adapting reporting frameworks based on audit insights and evolving risk landscapes.
• Facilitated Agile ceremonies (sprint planning, retrospectives, and reviews), prioritized user stories in the product backlog, and ensured transparent progress tracking using burn-up and burn-down charts.
• Conducted gap analyses and root cause investigations to identify inefficiencies in legacy systems, recommending enhancements that improved data accuracy and operational flow.
• Used Mainframe technologies to support core financial system operations, performing in-depth analysis and maintenance of legacy applications during transitional modernization efforts.
• Developed SSRS reports and data visualizations to support strategic decision-making, delivering insights into operational health, customer behavior, and regulatory compliance metrics.
• Partnered with data engineers and BI teams to build automated reporting pipelines, improving data timeliness and reducing manual reporting effort by over 40%.
• Mentored junior analysts, establishing best practices in requirements elicitation, stakeholder communication, and documentation standards across multiple projects.
• Applied Amazon Leadership Principles such as “Dive Deep,” “Deliver Results,” and “Insist on the Highest Standards” to continually improve internal processes and exceed performance benchmarks. Business Analyst- Robotics HMI, 02/2018 to 05/2021 Amazon – Hyderabad
• Analyzed behavioral data from over 40,000 monthly active users, identifying usage patterns and friction points that led to a 40% reduction in user dropout and a significant increase in overall platform engagement.
• Designed and developed reusable ETL components to streamline data extraction and transformation processes, reducing data preparation time by over 50% and contributing to a 63% increase in revenue through faster, more informed decision-making.
• Built dynamic, interactive Tableau dashboards to visualize user engagement metrics and funnel performance, resulting in a 30% increase in platform traffic through actionable insights shared with the product and marketing teams.
• Consolidated and normalized data from disparate sources into centralized, structured spreadsheets and dashboards, supporting consistent and accurate business reporting across departments.
• Created visually compelling Power BI reports to track operational KPIs and business health, enabling real-time monitoring and driving cross-functional alignment on performance goals.
• Assisted in Azure Cloud data migration projects, supporting the transition of legacy datasets from SQL Server to cloud-based infrastructure, ensuring minimal downtime and data integrity.
• Participated in daily standups, sprint reviews, and backlog grooming sessions, collaborating with product owners and developers to define requirements and improve sprint outcomes.
• Conducted A/B testing and user feedback analysis to evaluate the effectiveness of new features and iterate on customer experience improvements.
• Documented functional requirements, process flows, and user acceptance criteria to support product launches and ongoing enhancement initiatives.
• Demonstrated ownership and a bias for action by proactively identifying reporting gaps and building automated solutions to support internal Amazon teams.
• Practiced Amazon Leadership Principles such as “Customer Obsession” and “Invent and Simplify” by continuously proposing data-backed improvements that enhanced operational efficiency and user satisfaction.
Projects
• Developed a Flask-based beauty marketplace with user authentication and integrated Chart.js and Power BI for advanced trend analysis, enhancing business insights by 30%.
• Analyzed decade-long crime datasets using Python (Pandas, NumPy) and created dashboards in Tableau and Power BI, supporting business risk assessments across US states.
• Optimized advertising strategies for Amazon and in-house ads by applying data mining and machine learning models (decision trees, random forests, k-means) to boost engagement by 35%. Education
Master of Science: Business Analytics And Information Systems, 05/2024 University of South Florida - Tampa,FL
Bachelor of Science: Engineering- Electronics, 05/2017 Vidya #HRJ#2ecfc2c6-6206-4c70-8d1e-ed7eb9977d51# Jyothi Institute of Technology - Hyderabad, India