Data Science Skills• Knowledge of Machine learning algorithms like Linear and Logistic Regression, KNN, Support Vector Machines (SVM), Decision trees, Random Forest, Adaptive Boosting (ADABoost), Gradient Boosting, XGBoost and K-Means Clustering.• Skilled in libraries like Numpy, Pandas, Matplotlib, Seaborn, Scikit Learn and OpenCV.• Strong Mathematical foundation and good in Statistics.• Feature engineering in Python – Missing value treatment, outlier handling, data transformation, feature selection and reshaping data using Python packages like Numpy, Pandas and Scikit Learn.• Basic Understanding of Computer Vision techniques like Image pre-processing, Image Segmentation, Object detection, Object recognition etc• Good at fundamentals of SQL.• Self-motivated team player with good communication and presentation skills.• Good analytical and problem solving skillsManual Testing Skills• Strong knowledge in Software Development Life Cycle(SDLC)• Good at Software Test Life Cycle(STLC)• Extensive knowledge in smoke testing• Expertise in reviewing test cases• Strong knowledge on defect life cycleGood at fundamentals of SQLGood knowledge in Python programming