In the session on Testing a Data Science Model, Laveena Ramchandani, a seasoned test manager, shared her expertise on ensuring the quality and accuracy of data science models. Hosted by Japneet Singh, the discussion delved into understanding these models, their role in predicting outcomes, and the importance of using statistical algorithms and machine learning techniques. Laveena outlined a systematic approach to testing, emphasizing collaboration among testers, data scientists, and business analysts, and highlighted the significance of regression testing and the challenges of handling large data volumes. She underscored the necessity of balancing automation with human intuition, especially in complex scenarios, and stressed compliance with data privacy regulations. The session concluded with best practices, such as effective communication and continuous learning, making it a valuable resource for professionals involved in testing and developing data science models.