QA Engineer

NIMMAKURI Spandana

Masters in Computer Science, Chicago State University, Chicago, IL

ad8qy1@r.postjobfree.com, ad8qy1@r.postjobfree.com

SUMMARY

Masters’ student with 7+ years of industry experience. Working experience in various stages of SDLC, STLC. Experienced in leading a team of 9-15 members. PROJECTS

HealthCare Domain - EHR/PM Solutions

Led a team of nine professionals to test the functionality of a Cloud-based Electronic Health Record (EHR) application, corresponding Practice Management Solutions, and a Patient Portal. This leadership role involved ensuring high-quality deliverables and improving operational efficiency, directly benefiting our client in several measurable ways.

TATA Consultancy

Services, 2015-2022

• Transition to Automation:

Manual to Automation Testing Transformation: Led the transition from manual testing to automated testing, which resulted in a significant reduction in testing time. Specifically, we reduced the average test cycle duration by 60%

Increased Test Coverage: Automation allowed us to increase test coverage by 75%, ensuring more comprehensive testing without additional time. This led to a 30% reduction in post-release defects, minimizing the need for costly patches and hotfixes.

• Quality Improvement:

Defect Detection Rate: Implementing automated testing improved our defect detection rate by 35%. Early identification of issues reduced the potential cost of fixing defects later in the development cycle.

EDUCATIONAL SUMMARY

Masters in Computer Science, Chicago State University (GPA 3.9) 2022-2024 Bachelor of Technology – Electronics and Communication Engineering, Jawaharlal Nehru Technological University (GPA 3.4) 2010-2014

PROFESSIONAL EXPERIENCE

QA Engineer

TATA Consultancy Services

2015-2022

Hyderabad, Telangana, India

Responsibilities:

• Responsible for transforming Manual testing team to Automation team

• Designed and developed strategies for functional and non-functional testing

• Designed and implemented test scripts as a Test NG suite using Cucumber framework

• Been part of various modules of Cucumber framework – Step definitions, Feature files, Browser configurations, Data Externalization

• Requirement Documents Analysis - Vision, Scope and Requirements (VSR), Requirements Analysis Matrix (RAM), Procedure Guides

Mentored Assistant System Engineers, interns

Client Satisfaction: Enhanced quality assurance processes improved client satisfaction scores by 25%, as measured by post-project client surveys. This increase in satisfaction directly correlated with client retention and upsell opportunities

• Efficiency Gains:

Team Productivity: Through process optimizations and the introduction of automation, team productivity increased by 45%. This increase allowed the team to handle more projects simultaneously

HealthCare Domain - Provider Networks applications Functional testing of Primary Care Provider (PCP) database applications and PCP- Facility networks/configurations, including Compliance and Claims Management. These web-based applications handle various critical tasks such as In-Network and Out-of-Network Provider-Facility mapping, Patient Compliance status, issues, feedback, and their Billing-Coding-Claims Management with the corresponding Payer.

TATA Consultancy

Services, 2015-2022

• Functional Testing Enhancements:

Thorough Coverage: Ensured comprehensive functional testing of the PCP database applications, resulting in a 40% increase in defect detection rates. This proactive identification of issues helped prevent potential disruptions in the provider-facility mapping

Compliance Accuracy: Enhanced the testing processes for compliance management systems, which improved the accuracy of compliance reporting by 30%.

• Efficiency in Claims Management:

Reduction in Claim Processing Errors: By improving the functional testing of billing, coding, and claims management modules, we reduced claim processing errors by 25%. This reduction led to faster claim resolutions

Faster Issue Resolution: Implemented a streamlined testing process that identified and resolved issues 20% faster, reducing the average resolution time.

• Operational Efficiency:

Enhanced Data Accuracy: Improved testing protocols increased data accuracy for In- Network and Out-of-Network provider mapping by 35%. This accuracy ensured correct provider information, which is crucial for accurate billing and claims processing, reducing disputes and enhancing provider-patient trust.

Capstone Project - Automated Mapping of Clinical Terminology to ICD-10 Codes

Chicago State

University, 2024

This project involves developing a machine learning model to automate the mapping of clinical terminology to ICD-10 codes using deep learning techniques. The dataset consists of clinical notes and corresponding ICD-10 codes, which are preprocessed and tokenized before being fed into the model. The neural network architecture includes an embedding layer for word embeddings, an LSTM layer for capturing sequential dependencies, and dense layers for classification. The model is compiled with the categorical cross-entropy loss function and optimized using the Adam algorithm. The training process involves fitting the model on the preprocessed training data and evaluating its performance on a validation set. Accuracy is used as the primary metric to assess the model's performance. Upon training, the model can predict ICD-10 codes for new clinical notes. This approach leverages the power of neural networks to handle the complexity and variability of clinical text, aiming to improve the efficiency and accuracy of medical coding.

Generative AI

Chicago State

University, 2023

Medical Waste Management

This project focuses on the application of prompt engineering techniques to develop a comprehensive business proposal for a small-scale medical waste management company using ChatGPT. The initiative involves generating detailed prompts to cover various critical aspects of the business. These prompts guide the AI to provide information on the different types of medical waste, appropriate machinery for handling each type, necessary infrastructure requirements, and optimal location considerations. Additionally, the project outlines an implementation plan and includes financial projections, such as expected profits and returns. By leveraging ChatGPT's capabilities, the project aims to create a detailed, actionable, and efficient business plan tailored for the medical waste management sector. Creating a script and language

This project involves developing a new spoken language by harnessing the capabilities of ChatGPT. The process begins with prompting ChatGPT to provide a comprehensive background on existing scripts and languages, which forms the foundation for creating the new language. Subsequently, I guided the AI through a series of prompts to systematically develop the language's phonetics, alphabets, and grammar rules. By iteratively refining these prompts, the project aims to construct a coherent and functional new language, showcasing the potential of ChatGPT in linguistic innovation and artificial intelligence-assisted language creation.

SQL Database Partitioning

Chicago State

University, 2023

In this project, I led a team of three in partitioning a sample sales database to enhance performance tuning. Our approach involved generating test data and creating the necessary tables for the database. We implemented partitioning based on a monthly partition factor, organizing the data into separate filegroups for each month. This structure allows for efficient access and retrieval, facilitating the easy generation of monthly sales reports. Our efforts aimed to demonstrate the benefits of database partitioning in improving query performance and managing large datasets effectively. Student Service/Personnel applications

Gannon University,

2022

In this project, I developed a Java application designed to manage and display information for college employees, faculty, and student services. Based on the user's selection, the application retrieves and displays the relevant information for the chosen individual, whether they are a college employee, a faculty member, or a student service personnel. This project aimed to streamline access to important personnel information, enhancing the efficiency of administrative tasks and service delivery within the college environment.

TECHNICAL SKILLS

Languages Java, SQL, Python, Prompting

Testing Manual Testing, Automation Testing

Version Control Jira, Azure, VersionOne, GIT Hub

Tools/Framework/ Build script Cucumber, Selenium, Gherkins, Maven, ChatGPT, Maven

Cloud AWS, Azure

Development Tools Eclipse, R Studio, VS Code, PyCharm Testing Tools/Others JIRA, SQuIDS, Azure

OS Windows, UNIX, Mac

RELEVANT COURSEWORK

Generative AI, Advanced TCP/IP Network Architecture, Algorithm Software Engineering with Web Applications, Object Oriented Programming Java, Introduction to Unix, Data Structures, Machine learning, Advance Database Design and Implementation, Data Science, Quantum Computing, Computer Networks and Organization

Additional Info

Visa Status F-1 OPT

Authorized to work in the United States

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