Data Scientist
Current- Developed and deployed machine learning models to rank candidates for job applications, improving the hiring process efficiency by 30%.- Utilized supervised learning techniques to build classification models for customer segmentation, achieving an accuracy of 92%.- Implemented unsupervised learning algorithms to identify hidden patterns in customer purchase data, leading to a 15% increase in sales through targeted marketing.- Designed and developed recommendation systems for product suggestions, enhancing user engagement by 25%.- Applied deep learning methods to optimize neural networks for image recognition tasks, achieving a 95% accuracy rate.- Conducted feature engineering and selection to improve model performance, using techniques like vectorization and normalization.- Evaluated model performance using metrics such as precision, recall, F1 score, and ROC curve.- Collaborated with cross-functional teams to integrate machine learning models into production systems.
