Ms Berjees Shaikh is a seasoned data scientist with extensive experience in designing and implementing advanced analytics and machine learning solutions across enterprise environments. She possesses strong technical mastery in statistical modeling, predictive algorithms, natural language processing, and deep learning, and has led end-to-end data science pipelines—from data discovery and preprocessing through model development, validation, deployment, and monitoring. Her work is guided by rigorous methodology, a commitment to accuracy, and translating insights into business strategy that drives measurable impact.
In addition to her technical depth, Berjees has established herself as an accomplished trainer and educator in enterprise AI. She has developed and delivered training programs that enable cross-functional teams to understand and apply AI/ML tools, fostering data literacy and capability building throughout organizations. Her leadership, communication skills, and hands-on expertise allow her to bridge the gap between cutting-edge AI research and real-world business value.
panel
This panel examines the critical intersection of gender, artificial intelligence, and algorithms, and how AI-driven systems increasingly influence everyday decisions, access to opportunities, and social justice. It will explore whether contemporary AI and algorithmic technologies are being developed with gender sensitivity, or whether they continue to reproduce and reinforce structural biases and exclusions. The panel also highlights the urgent need for more women at the forefront of the AI and technology industry, emphasizing that inclusive design, ethical innovation, and algorithmic justice are not possible without women’s active participation in AI development, policy-making, research, and leadership. By centering women’s voices, experiences, and expertise, the discussion aims to promote fairer, more accountable, and socially responsible AI systems.
