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QA Automation Engineer with less than a year in Software Testing & Deep Learning
Detail-oriented and motivated IT professional with completed a comprehensive Software Testing Course with strong knowledge in Manual and Automation Testing, including SDLC/STLC, test case design, test execution, defect reporting, QA documentation and basic automation scripting. Holds an MCA and a BSc in Physics with Computer Applications, providing a solid technical and analytical foundation. Skilled in accuracy-driven tasks, data verification, workflow management and quickly adapting to new tools, technologies and testing environments. Committed to delivering reliable, efficient, and high-quality support for IT operations and end-to-end software testing processes.
Union Christian College
MASTER OF COMPUTER APPLICATIONS
August 1, 2021 – June 30, 2023
Bharata Mata College
BSC PHYSICS WITH COMPUTER APPLICATION · Physics with Computer Application
August 1, 2017 – June 30, 2020
GVHSS
HIGHER SECONDARY
June 1, 2015 – May 31, 2017
Pius Girls High School
SSLC
June 1, 2014 – May 31, 2015
FLOWER SHOP MANAGEMENT SYSTEM
January 1, 2021 – January 1, 2023
Designed a digital system to replace traditional manual flower shop operations. Implemented using ASP technology, IIS server, and a backend database. Automated order management, inventory tracking, and customer information handling. Reduced errors caused by manual calculations and paper-based record keeping. Enabled faster data retrieval and improved accuracy in order verification. Designed user-friendly interfaces for managing products, orders, and sales records. Improved overall workflow efficiency and reduced data processing time.
Diabetic Retinopathy Detection Using Deep Learning
January 1, 2021 – January 1, 2023
Developed a deep learning model to detect Diabetic Retinopathy (DR) from retinal fundus images. Applied image preprocessing techniques including resizing, normalization, and data augmentation. Implemented CNN-based classification to identify the stage/severity of DR. Improved model accuracy by tuning hyperparameters and optimizing training datasets. Aimed to support early diagnosis and reduce the risk of vision loss through automated screening. Evaluated model performance using accuracy, precision, recall, and confusion matrix.
NPTEL - Software Testing
NPTEL (National Programme on Technology Enhanced Learning)
June 1, 2026 – Present
Software Testing Course
Rogersoft Technologies Pvt. Ltd.
June 1, 2026 – Present
Financial Accounting with Tally ERP 9.0
Unknown
June 1, 2026 – Present
Cultural Fit Analysis
The candidate's academic projects demonstrate a breadth of technical interest, from deep learning to web application development. The certifications in software testing align with the target role. The candidate's profile indicates a commitment to learning and adapting, which are positive indicators for cultural fit in a dynamic team. However, the lack of professional experience means there's no direct evidence of collaboration or work ethic in a corporate setting.
Soft Skills & Operational Fit
The candidate's resume highlights soft skills such as analytical & critical thinking, problem-solving, time management, adaptability, and team collaboration. These are valuable for a QA Automation Engineer role, suggesting a good operational fit for a structured testing environment. However, without practical work experience, the application of these skills in a professional setting is unproven.