Pooja Balasundar

• Conducted exploratory data analysis to uncover key trends and patterns, meticulously cleaning and validating high-quality datasets.
• Created polished visualizations to effectively communicate insights, transforming complex datasets into comprehensive, visually engaging graphics.
• Developed and fine-tuned machine learning models and improved accuracy from 75% to 79% for a CNN model.
• Skilled in deep learning techniques such as Artificial neural networks and CNNs for complex data analysis.
• Utilized advanced techniques: ensemble learning, hyper-parameter tuning, and cross-validation to enhance model robustness and generalization.
• Evaluated model performance using various metrics, ensuring alignment with project goals and stakeholder expectations.

Worked on Agile and Waterfall Methodology to cater to the development, testing and delivery of the application as per the scope and timelines

• Analyzed the Business Requirements and created Test Plan for new functionalities and applications
• Designed and Developed Test cases, Test scripts, and Test reports based on Business Requirement Document (BRD) and User stories
• Performed System testing, Integration testing, Regression testing, Sanity Testing, End to End testing and Exploratory testing to evaluate the robustness and functionality of the application
• Logged the Defects in Defect Management tools like Jira and Bugzilla in order to perform Defect lifecycle
• Involved in defect review meetings, walkthrough and interacted with Business Analyst and Developers for resolving the Defects.
• Worked on Test Management Tools like DEVPLUS (TCS Tool), HP ALM QC, Jira.
• Performed Web Service testing to validate different integration systems using POSTMAN
• Have knowledge in Automation Testing.
• Trained junior Manual Testing Resources for Team, guided them to understand Business Requirements and helps them in functional KTs.