Petra
Kummerova
Principal Data scientist at McKinsey & Company
Nominated in the categories:
AI & Data Science Leader of the Year Award
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Petra Kummerova Bio
As the first women leader of Data Science & AI within McKinsey’s internal tech organization, Petra has assembled a team of renowned data scientists and machine learning engineers. She leads scoping and curation of emerging AI and data science opportunities, strategically allocating tech resources to the initiatives with the highest return on investment and overall impact.Petra has initiated R&D with multiple external universities leading to creation of a predecessor of Lilli and subsequently development of Lilli itself, McKinsey’s revolutionary generative AI tool. Lilli can scan thousands of documents in seconds, delivering the best of the Firm's knowledge to its clients.
Petra is a widely recognized leader in the field of AI and data science. She is frequently invited to share her expertise at high-profile industry events, such as the European Central Bank AI series, the Women in Data Science conference by Stanford University, and academic sessions at Charles University and Masaryk University.
Petra holds a distinguished degree in Quantitative Methods from Masaryk University, where she graduated with honors and an 'A' grade. With over a decade of experience in data science and research, Petra has contributed significantly to the field, authoring a working paper that investigates the robustness of macroeconomic models in predicting crises, titled “Comparison of Prediction Power of BVAR and DSGE Models”.
