Pravallika Uppala

Birmingham

Summary

Business-oriented professional with experience in business analysis, stakeholder collaboration, requirements gathering, process improvement, and cross-functional project coordination across healthcare and insurance domains. Skilled in translating business needs into technology solutions, managing documentation, supporting Agile delivery, and improving operational efficiency. Experienced in analyzing business data, developing reports and dashboards, and providing actionable insights to support strategic decision-making. Knowledgeable in SQL, Power BI, Python, and data analytics, with exposure to AI/ML, Generative AI, and Retrieval-Augmented Generation (RAG) solutions. Adept at working with business and technical teams to deliver data-driven and AI-enabled business outcomes.

Overview

years of professional experience

Work History

AI Business Analyst

UHG

Remote

04.2025 - Current

Worked with stakeholders from business operations, healthcare operations teams, product owners, and technology teams to collect requirements, perform analysis of business needs, and drive digital transformation initiatives through AI.
Maintained documentation such as requirements specification documents, user stories, process flows, functional requirements, and project reports in order to deliver technological solutions effectively.
Coordinated with cross-functional teams such as data engineers, software developers, ML teams, and business users to make sure that business and technical implementations align.
Performed stakeholder meetings, requirement sessions, project updates, tracked action items, risks, dependencies, and deliverables of AI & analytics projects.
Supported Agile projects by managing Jira tasks, sprint planning, user acceptance testing (UAT), and making sure that solutions satisfy the business.
Performed analysis of existing processes within the healthcare business and made recommendations for workflow optimization and automation using technological solutions.
Participated in evaluation and documentation of use cases of Generative AI and AI automation such as internal knowledge assistants, intelligent workflows, and RAG solutions.
Conducted data analytics using SQL, Excel, and BI reporting software to validate the business metrics, analyzing trends and providing information to support decision-making.
Helped in AI and ML efforts through collaboration with technical teams in model specifications, data validation, analyzing the output of the model and verifying the insights generated from AI/ML models.
Created executive-level dashboards, presentations, and analytical reports to communicate project status, business impact, and recommendations.

Data & Reporting Analyst

AIG

Charlotte

09.2024 - 03.2025

Worked with business teams, operations managers, and stakeholders in determining reporting requirements and business objectives, translating operational needs into valuable insights and recommendations based on the available data.
Created and maintained business reports, dashboards, and performance summaries used by management during the decision-making process and for conducting operational reviews.
Conducted ongoing reporting by ensuring accuracy of reported data, tracking important business metrics, and delivering reports on time to internal business teams and executives.
Identified opportunities for process improvement, streamlined reporting processes and enhanced efficiency through analysis of business processes and operational workflows.
Coordinated with cross-functional teams including business users, IT teams, and application support teams in requirements gathering, solving reporting problems, and improving systems.
Designed and optimized data analysis processes using SQL, Excel, and various reporting tools to collect, transform, validate and analyze business data.
Designed data visualizations and dashboards using tools such as Power BI/Tableau to convey KPIs, operational trends, and business results to stakeholders.
Performed data quality checks, data reconciliation and data validation activities to ensure accurate reporting and consistency of business data sets.
Fostered automation and analytics projects by investigating possibilities in leveraging AI/ML, Predictive Analytics and Intelligent Automation to boost the efficiency of the process of reporting and making business decisions.
Helped business initiatives based on technology by documenting process flows, preparing user requirements, supporting testing and assessing AI-powered solutions.

Conversational AI Engineer

Tata Consultancy Services

Hyderabad

01.2021 - 04.2022

Implemented and optimized conversational AI solutions and chatbots using AI technologies and NLP techniques, enabling automated interactions by identifying intents, extracting entities, and generating context-aware responses.
Created and refined NLP models using Python, TensorFlow, PyTorch, BERT, and other transformer-based architectures for tasks including text classification, sentiment analysis, and question answering.
Engineered conversational AI pipelines involving data preprocessing, text cleansing, feature engineering, model training, and evaluation to improve chatbot accuracy and overall performance.
Integrated AI models into enterprise software and APIs to support automated customer service workflows, information retrieval, and intelligent virtual assistants.
Leveraged pre-trained language models, embeddings, and early Generative AI approaches (GPT-based models, Transformers, Hugging Face models) to enhance natural language understanding and response generation.
Collaborated with business stakeholders and subject matter experts to define chatbot requirements, analyze user workflows, and document business processes.

Education

Master of Science - Computer And Information Sciences

University of Alabama At Birmingham

Birmingham, AL

04-2024

Bachelor of Technology - Computer Science

Geethanjali College of Engineering And Technology

Telangana, India

09-2020

Skills

Business Analysis: Business Analysis Stakeholder Management Requirements Gathering Business Process Improvement Business Documentation Process Mapping Change Management Strategic Planning Agile (Scrum) Project Coordination Cross-functional Collaboration User Acceptance Testing (UAT)

Data & Analytics: SQL Microsoft SQL Server Power BI Tableau Data Analysis Business Intelligence KPI Reporting Dashboard Development ETL Data Modeling Data Visualization Predictive Analytics Data Validation

AI & Emerging Technologies: Artificial Intelligence (AI) Machine Learning Generative AI Large Language Models (LLMs) Retrieval-Augmented Generation (RAG) Natural Language Processing (NLP) Prompt Engineering Conversational AI TensorFlow PyTorch Scikit-learn

Programming & Cloud: Python Java REST APIs Azure Azure Machine Learning Azure OpenAI Service AWS Git Docker Jira Confluence

Timeline