• Achieved a 15% reduction in defect leakage through rigorous testing processes and early detection, and streamlined testcase creation, reducing time by 20% through automation.• Conducted manual and automated testing, developed test cases, scripts, and plans based on user stories andrequirements, and utilized JIRA for bug tracking and workflow management, increasing efficiency by 30%.• Collaborated with development teams to resolve issues, ensuring product quality, and generated detailed reports on testresults and quality metrics for stakeholders, improving communication by 25%.Skills:- Rigorous Testing ProcessesAPI TestingAutomationManual and Automated TestingCypressTools and Workflow ManagementCollaboration and CommunicationEfficiency Improvement

During my internship, I had the opportunity to immerse myself in a hands-on machine learning project, contributing significantly to various stages of model development and optimization. Key accomplishments include:1️⃣ Model Diversity:Actively participated in building and fine-tuning a range of machine learning models, from traditional algorithms like Logistic Regression to advanced ones such as Random Forest and XGBoost.2️⃣ Cross-Validation Mastery:Implemented robust cross-validation strategies, employing techniques like RepeatedKFold and StratifiedKFold to ensure thorough model evaluation.3️⃣ Class Imbalance Resolution:Addressed the challenge of class imbalance through the application of oversampling techniques like Random Oversampling, SMOTE, and ADASYN.4️⃣ Hyperparameter Exploration:Assisted in the hyperparameter tuning process using Randomized Search Cross-Validation, contributing to the optimization of the XGBoost model.5️⃣ Insightful Feature Analysis:Engaged in feature importance analysis for the XGBoost model, gaining insights into the key drivers of predictive accuracy.6️⃣ Result Tracking & Documentation:Played a key role in maintaining a results DataFrame, capturing critical metrics and ensuring meticulous documentation of model performance.⏩ Project Impact:Contributed actively to the project's success, showcasing adaptability to various machine learning techniques and gaining practical exposure to real-world challenges.⏱️ Internship Learning:Developed essential skills in time management, ensuring the timely completion of tasks and the delivery of actionable insights.