PMP, AI-Driven BI Analyst with Cloud Expertise

KALEMULA SAI LOKESH

*********.***@*****.*** +1-806-***-**** United States

Professional Summary:

Results-driven PMP certified Artificial Intelligence skillset Business Analyst with over 5 years of experience including data analysis & business intelligence across healthcare, Finance, education, cloud services, and CRM platforms. Proven expertise in leveraging AI powered analytics tools & Generative AI tools such as Microsoft Copilot, ChatGPT, Google Gemini, and Salesforce Einstein AI to extract business insights, identify trends, and support strategic decision-making. Adept at collaborating with cross-functional teams to gather and document requirements, streamline integrations, and manage end-to- end technical workflows. Proficient in Agile methodologies (Scrum, SAFe, Kanban) and tools such as JIRA, Power BI (Dax, AI visuals), SQL, PEGA, Salesforce, Azure, and AWS. Strong track record of bridging the gap between business and technical teams to deliver cloud based, intelligent automation solutions. Microsoft Certified Power BI Data Analyst (PL 300), and other Microsoft credentials aligned with modern enterprise technologies. Technical Skills:

Business Analysis & Collaboration Tools: JIRA, Confluence, Microsoft Teams, SharePoint, Trello, Smartsheet, Microsoft Project, Asana, Monday.com, Google Workspace

Requirements & Documentation: Microsoft Visio, Lucidchart, Balsamiq, Axure RP, IBM DOORS, BRD/FRD creation, Process Mapping, UML, BPMN

Data Analytics & Business Intelligence: Power BI (AI visuals: Key Influencers, Decomposition Tree), SQL (MS SQL Server, Azure SQL, MySQL, Oracle), Advanced Excel (Pivot Tables, Macros, VLOOKUP), Tableau, SAS, Google Analytics, Adobe Analytics, Snowflake

AI, Automation & Scripting: Microsoft Copilot, ChatGPT, Google Gemini, Azure Cognitive Services, Power Platform AI Builder, Salesforce Einstein Analytics, Python (Pandas, NumPy, ML basics), PEGA Customer Decision Hub Testing & QA Tools: Postman, Selenium, HP ALM / Quality Center Cloud Platforms & DevOps: Microsoft Azure (Power Platform, Azure DevOps, AI Services), Git, Azure Logic Apps, Power Automate

CRM & ERP Systems: Salesforce (Sales/Service/Experience Clouds, Marketing Cloud, Einstein AI), Microsoft Dynamics 365, SAP

(MM, SD, FI/CO), PEGA Systems

Programming Languages: Python (for data analysis), Core Java (basic), HTML Certification:

Project Management Professional PMP

Salesforce Certified Platform Administrator ADM 201 & AI Associate Microsoft Certified Power BI Data Analyst Associate PL 300 Microsoft Certified Azure Developer Associate AZ 204 Microsoft Azure Fundamentals AZ 900

AWS Educate Introduction to Generative AI

Microsoft Software Development Fundamentals 98 361 Professional Experience:

Gainwell Technologies, US IT Business Analyst Jan 2024 – present

Collaborated with Medicaid stakeholders, development, and QA teams to perform feasibility checks, gather requirements, and accelerate delivery by 20%.

Authored BRDs, FRDs, user stories, and process documentation with data transformation logic, validation rules, and ETL mapping between source and target systems.

Integrated Microsoft Copilot and ChatGPT into documentation and validation workflows, cutting BRD/FRD creation time by 30% and improving claim report accuracy.

Designed wireframes and workflows in Figma, Lucidchart, and BPMN for claims adjudication and care management, reducing feedback cycles by 25%.

Tested FHIR APIs in Postman, validated request/response formats, and documented integrations with external portals, improving real-time processing reliability by 40%.

Developed SQL scripts and queries to validate high-volume claims and eligibility data, improving accuracy by 35%.

Built interactive Power BI dashboards with DAX and AI visuals to track utilization, risk scoring, and KPIs, enhancing decision making by 30%.

Automated compliance and audit reporting using Power Automate and Azure Logic Apps, and coordinated with DevOps teams to move approved changes through CI/CD pipelines.

Led sprint ceremonies (planning, backlog refinement, daily standups, retrospectives, and demos), ensuring continuous improvement and stakeholder alignment.

Led UAT and regression testing in JIRA, tracked and triaged defects through resolution, and ensured smooth production rollouts with minimal rework.

Delivered production support by monitoring BI dashboards and claim workflows, resolving issues quickly, and maintaining business continuity. Maintained a requirements traceability matrix linking requirements to test cases & mentored junior Business Analysts.

Published Confluence documentation with reusable templates, macros, TOCs, and version control, reducing onboarding time by 40%.

Microsoft US Bank (employer: Accenture) Azure Business Analyst August 2021 – August 2023

Prioritized backlog when the Product Owner was unavailable, sustaining team velocity and ensuring delivery of critical Azure features.

Engaged global stakeholders on Azure, .NET, MVC, ASP.NET, and O365 projects, bridging gaps between business and technical teams.

Conducted one on one interviews for Azure app requirements and authored solution docs, ensuring clarity and reducing rework.

Automated O365 workflows with Microsoft Graph API, reducing manual effort and boosting productivity by 35%.

Tested REST APIs in Postman, validating endpoints, request/response payloads, and authentication workflows, reducing integration issues by 20%.

Used Fiddler to debug API traffic and identify performance bottlenecks, improving response time consistency across Azure/O365 applications.

Gathered and documented Azure migration requirements with Product Owners to ensure clarity and on-track delivery with various techniques like surveys and interviews.

Designed Azure architectures in Visio, Lucidchart, and Draw.io, accelerating stakeholder approvals by 30%. Prepared detailed BoMs using Azure pricing standards to support accurate budgeting.

Coordinated with DevOps and CI/CD teams on designs and cost plans, resolving 95% of deployment issues. Designed Balsamiq wireframes for Azure portal layouts, speeding approval cycles by 20%.

Liaised between Product Owners, Cloud Developers, and Engineering to remove blockers and streamline dependencies.

Built Tableau reports for migration status, performance metrics, and stakeholder dashboards. Led Agile ceremonies and maintained team collaboration in the absence of a Scrum Master.

Managed sprints and defects, wrote 250+ user stories in Azure DevOps, driving cross-team collaboration across Product, DevOps, and QA.

Cetera CRM Business Analyst July 2019 – Aug 2021

Collaborated with financial advisors, product owners, and stakeholders to gather CRM requirements and define user stories, process flows, and data maps.

Defined Salesforce configurations (custom objects, layouts, validation rules, Omnichannel routing) with developers to align CRM with advisor workflows.

Used Salesforce Einstein AI Analytics to analyze CRM and PEGA case data, generate AI-driven predictive KPIs, and enhance Power BI dashboards, improving advisor activity tracking and sales pipeline forecasting accuracy by 20%.

Created Axure RP wireframes and prototypes to demo Salesforce PEGA workflow enhancements. Documented API integration logic between Salesforce and PEGA to enable seamless case and task automation.

Developed and executed complex SQL scripts to support data migration and testing & designed Power BI reports and dashboards on Salesforce data to track advisor activities and sales pipelines.

Conducted gap analysis between legacy CRM and new Salesforce–PEGA systems to identify missing capabilities and integration points.

Created UML use-case, class, and activity diagrams to illustrate interactions, system behavior, and data relationships.

Managed test cases in HP ALM/Quality Center, logging defects and driving resolutions to production. Led UAT and defect triage with QA, ensuring features met user story requirements for production release.

Authored Confluence documentation with functional specs, SOPs, training manuals, and config guides using macros and templates for consistency.

Ensured FINRA/SEC compliance in Salesforce workflows via PEGA rule logic. Validated dashboards with users, confirming filters, visuals, and metrics before go-live. Education:

Master Of Science in Computer Science

Texas Tech University

Diploma In Business Management

Narsee Monjee Institute of Management Studies

Bachelor Of Technology

Jawaharlal Nehru Technological University

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