Data Analytics Quality Assurance

ADITHI KALLEM

******.***@*****.*** +1-571-***-**** GitHub LinkedIn

EDUCATION:

Data Analytics Engineering

George Mason University - Fairfax, VA Master's

GPA: 3.93 / 4

Computer Science Engineering (CSE)

Sridevi Women's Engineering College - Hyderabad, India Bachelor of Technology CGPA: 7.14 / 10

TECHNICAL SKILLS:

Programming Languages: C, Python, Java.

Database: MySQL, MongoDB.

Data Analysis Tools: R Programming, Tableau, Power BI, Neo4j, Jupyter Notebook, Google Colaboratory, My SQL workbench.

Cloud & Machine

Learning Technologies:

AWS Lambda, Amazon S3, AWS Kendra, Amazon Lex, Amazon Bedrock, Amazon OpenSearch, AWS Cognito, QnABot, RAG Systems, AWS Infrastructure Management, AWS Cost Optimization, AWS Solution Architecture, AWS Cloud Security, AWS Redshift, AWS Glue, AWS EMR, AWS SageMaker, Keras, TensorFlow, KNN, CNN, Logistic Regression, Linear Regression, Random Forest, SVM, Decision Tree, NumPy, Pandas, Matplotlib, Xgboost, Natural Language Processing (NLP), YOLOv5, LLaMA Model.

Web technology Tools: HTML, CSS, Java Script, Flask. Microsoft office Suits: Word, PowerPoint, Microsoft Excel (Pivot Tables, Linear Optimization, Decision Tree). EXPERIENCE:

Programmer Analyst Quality Assurance Engineer 05 / 2021 to 11 / 2022 Cognizant Technology Solutions

• Collaborated with cross-functional teams in an Agile/Scrum environment to ensure sprint deliverables for the transition of Sally Beauty Holdings’ order management system to the cloud.

• Managed backlog grooming, user story clarification, and defect logging via Jira; supported product testing, documentation, and business rule validation across front-end and back-end components.

• Partnered with stakeholders and developers to write functional documentation, improve workflows, and enhance customer experience through systematic testing and iterative releases. PROJECTS:

1. Generative AI RAG Chatbot for Mason Student Services Center Capstone Project

• Designed and developed a Generative AI Retrieval-Augmented Generation (RAG) chatbot for the Mason Student Services Center (MSSC) using AWS tools including Lex, Kendra, Bedrock, Lambda, and Cognito, supporting over 200,000 user interactions.

• Performed manual data labeling and validation of Anthropic Claude LLM outputs within AWS (S3, Lambda, Kendra) to ensure query alignment, resolve edge cases, and improve model accuracy to 95%.

• Conducted ad hoc analysis and QA reporting using SQL and Excel on AWS-managed datasets, delivering insights to stakeholders on chatbot performance, accuracy trends, and system reliability. Technology/Tools: AWS (Lex, Kendra, Bedrock, Lambda, Cognito), Anthropic Claude LLM, Natural Language Processing (NLP), Knowledge Base Integration, Compliance

2. SkinGPT: AI-Powered Diagnostic System for Skin Condition Analysis

• Collaborated on the development of SkinGPT, an AI-powered diagnostic tool for skin condition analysis, as part of an NLP course at George Mason University.

• Integrated YOLOv5 for image classification and the LLaMA model for natural language processing, creating a user-friendly chatbot for delivering accurate health insights.

• Enhanced dermatological care by providing reliable second opinions for dermatologists and improving patient engagement, particularly in underserved communities.

Technology/Tools: Machine Learning, Natural Language Processing, YOLOv5, LLaMA Model, Telemedicine, Patient Engagement.

3. Predictive Analytics for Healthcare and Financial Risk Mitigation

• Conducted predictive analytics on heart failure and loan default datasets using R programming, achieving an 88.9% accuracy in healthcare survival prediction and a 0.9758 AUC in financial risk mitigation.

• Applied advanced machine learning algorithms, including logistic regression, random forest, decision trees, and K-Nearest Neighbors, to identify significant predictors and derive actionable insights. Technology/Tools: R Programming, Logistic Regression, Random Forest, Decision Trees, K-Nearest Neighbors, Data Preprocessing and Visualization Libraries, Databricks.

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