Keerthi Nagallapati
Software Quality Assurance Analyst @ Agate Software
About
I’m a quality-driven professional who believes testing is more than finding bugs; it’s about protecting the business, the product, and the customer experience. I bring a strong attention to detail and a deep sense of ownership to my work. When I identify an issue, I also focus on its business impact, user experience, and root cause. My goal is always to ensure problems are fixed the right way, not just quickly. In addition to QA, I have hands-on L3 development experience, which significantly improved my debugging and defect-fixing skills. This background helps me collaborate effectively with developers and understand systems beyond the surface. I was recognized for successfully transitioning into an L3 developer role and delivering builds with zero defects, reinforcing my commitment to proactive quality. Working in QA has shaped the way I think, always from an end-user perspective. I actively anticipate edge cases, identify issues early in the lifecycle, and help teams prevent defects before they reach customers. I hold a Master’s degree in Management Information Systems, with a concentration in Data Analytics. This has given me a strong understanding of how data, AI, and predictive analytics influence business decisions, and how quality is essential to making those insights reliable. If you’re looking for someone who can adapt quickly, excel in any role, and consistently raise the quality bar, I’d love to connect. 💡 Core Strengths: QA & Automation: 100+ test cases executed; improved release stability with Selenium & Postman Data Analysis & BI: Built Tableau dashboards that improved decision-making efficiency by 11% SQL & ETL: Optimized queries and handled 1M+ records; cut manual reporting time by 5+ hours/week Technical Support & L3 Dev: Resolved production issues using Java and Siebel; reduced downtime by 19% 📜 Certifications Google Data Analytics Professional Certificate Tableau Desktop Specialist Lean Six Sigma Green Belt Training Certificate Java Enterprise Apps with DevOps (NIIT) 🚀 Actively Looking For Opportunities In: QA Engineering | Data Analytics 📩 Let’s connect! Reach out at keerthinagallapati@gmail.com or dm via LinkedIn. Always open to new opportunities, collaborations, and conversations
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United States
Gambling & Casinos
L3 Development, Testing Process, Exploratory Data Analysis, Postman, Manual Testing, Test Planning, Test Case Generation, Software Quality Assurance, qTest, Technical Support, Oracle Siebel CRM, Market Research, Natural Language Processing (NLP), Large Language Models (LLMs) & Prompt Engineering, Machine Learning Pipeline Development, Streamlit App Development, Python Data Processing & Visualization, ETL Tools, Machine Learning, Dashboards
Experience

Data Analyst Intern
Buffalo, New York, United States
• Built Power BI dashboards summarizing KPIs across 10+ academic programs including project volume, student participation, and organization type to support the Dean’s data-driven outreach strategy. • Performed exploratory data analysis on experiential learning data to uncover trends in student involvement and departmental activity, guiding targeted campaigns to reduce admission churn. • Standardized reporting templates and built structured intake forms with validation logic, reducing data-entry errors by 9% and saving an estimated $64K annually in data cleaning costs. • Benchmarked 23+ peer nonprofits to assess pricing, service scope, and outreach strategies, identifying market gaps in Journey’s End’s positioning. • Recommended pricing adjustments and service enhancements aligned with industry standards, aimed at strengthening market position and projected to increase outreach effectiveness by 12%.
Education

Management Information Systems, General
Database Management Systems Systems Analysis and Design Cloud Data Warehousing and Data Engineering Business Process Automation IT Process Quality Management Technology and Innovation Management Applied AI for Managers Predictive Analytics Web Analytics for E-Commerce Experiential IT Projects

Computer Science
Core Subjects: Problem Solving and Python Programming Programming in C Data Structures Object Oriented Programming Design and Analysis of Algorithms Computer Architecture Database Management Systems Operating Systems Software Engineering Distributed Systems Internet Programming Artificial Intelligence Cloud Computing Human-Computer Interaction Service Oriented Architecture Information Retrieval Techniques Theory of Computation Computer Networks Object Oriented Analysis and Design Mobile Computing Compiler Design Discrete Mathematics Engineering Mathematics Probability and Queuing Theory Algebra and Number Theory
Keerthi Nagallapati's Contact Information
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