About the speaker: Rahim Baig is the Team Lead - Product Analytics at Zolando and the esteemed author of "Optimizing AI ML Solutions." With a rich background in AI, Deep Learning, and Machine Learning, Rahim brings a wealth of expertise to his role at Zolando. His extensive knowledge and hands-on experience in the field have made him a sought-after speaker and educator. At Zalando, Rahim focuses on leveraging data science techniques to optimize marketing strategies and enhance platform performance. His ability to translate complex AI and ML concepts into practical applications for business impact sets him apart as a leader in the industry. Rahim's passion for education and his commitment to advancing the field of data science make him a unique and valuable resource for those looking to deepen their understanding of AI and machine learning.

Highlights:

Mr. Baig engaged the audience with compelling discussions on the importance of proper problem formulation in AI/ML to achieve high-impact solutions. Highlighting the common pitfalls that lead to the failure of data science projects, he emphasized on aligning solutions with business outcomes and the necessity of crafting data-driven solutions from the ground up. Through examples like text deduplication in e-commerce and customer churn prediction for apps, he illustrated the strategic transformation from mere problem identification to crafting scalable and effective AI/ML models.