Greeshma Ganji
Software QA Engineer specializing in automated and API testing
Rochester, New York
Joined April 2026
Network
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Summary
Focused QA engineer who combines structured test design with automation: Greeshma emphasizes structured techniques such as boundary value analysis and equivalence partitioning and integrates Selenium and Playwright automation with CI/CD pipelines to ensure thorough coverage across web, mobile, cloud, and regulated systems. ganjigreeshma+1
Data- and analysis-oriented practitioner with machine learning coursework and thesis experience: During her M.S. at RIT she completed machine learning projects and a thesis on adaptive models, and published multiple analytical R projects on RPubs demonstrating decision trees, bagging, and random forest techniques. ganjigreeshma+2
Cross-domain engineering experience from embedded to cloud and web: Her background includes internships in embedded systems (ECIL), cloud QA (TCS), system-level testing (Transonic Systems), teaching assistant duties for web and mobile at RIT, and recent QA ownership at IMPOWR, reflecting adaptability across tech stacks and environments. ganjigreeshma+2
Adopter of AI-assisted tooling to boost productivity: She documents use of AI tools (ChatGPT, GitHub Copilot) and local LLM workflows to reduce documentation time and support testing and automation tasks. ganjigreeshma+1
Work
Education
Writing
Sales Prediction Analysis with Regression Trees, Bagging, and Random Forest
October 1, 2023Analysis of Carseats sales data applying regression trees, cross-validation, pruning, bagging, and random forest methods to evaluate predictive performance.
Decision Tree Analysis for OJ Purchase Prediction
Decision tree modeling to predict Orange Juice (OJ) purchase decisions, including training/test split, model fitting, pruning, and error rate comparison.
Lab4_Greeshma_Ganji (ISTE 780)
Course lab work and analysis for ISTE 780, demonstrating data splitting and model evaluation techniques.
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