For more than 25 years now, Littal Shemer Haim has supported organizations in the processes of data collection and analysis, assisting in creating comprehensions and insights that lead to effective decision-making and actions. Littal brings Data Science into organizational activities to guide organizations to base decision-making about people on data. Her experience in applied research, keen usage of statistical modeling, constant exposure to new technologies, and genuine interest in people’s lives all led her to focus nowadays on People Analytics and Workforce Data Strategy. 

Littal holds a Technion M.B.A and B.A in Economics and Management. She also holds B.A. in Psychology from Tel Aviv University and Positive Psychology Certificate. Littal participated remotely in the Data Science Specialization of Johns Hopkins University, where she studied R programming and Practical Machine Learning. She also remotely studied Predictive Workforce Analytics at the University of California Irvine, Statistical Learning at Stanford University, and Data Science and Big Data Analytics at MIT xPro.

Littal lectures everywhere, from conferences to organizations to academies. She speaks on People Analytics, Workforce Data Strategy, AI Ethics, and Data-Driven Careers. Known for her engaging and insightful talks, Littal offers her audiences opportunities to learn how to leverage innovation and technology to establish authority and impact organizations.