Miroslav Kral
About Miroslav Kral
Miroslav Kral is a Lead Solution Engineer at Taktile, with a diverse background in data science and analytics across several prominent companies. He has held various roles at McKinsey & Company, QuantumBlack, and Satalia, and holds a Master's Degree in Business Analytics from UCL.
Current Role at Taktile
Miroslav Kral currently serves as the Lead Solution Engineer at Taktile, a position he has held since 2024. He works in Berlin, Germany, where he is responsible for leading engineering solutions that enhance the company's offerings. His role involves collaborating with various teams to ensure the successful implementation of innovative solutions.
Previous Experience at McKinsey & Company
Miroslav Kral has extensive experience at McKinsey & Company, where he held multiple roles. He worked as a Lead Data Scientist from 2021 to 2022 for 10 months and as a Principal Data Scientist and Expert Engagement Manager for 6 months in 2022. Additionally, he served as a Senior Data Scientist from 2019 to 2021 and as a Data Scientist from 2018 to 2019. His time at McKinsey involved leading data-driven projects and managing expert engagements.
Experience at QuantumBlack
Miroslav Kral worked at QuantumBlack, AI by McKinsey, as a Product Manager for 7 months in 2021. In this role, he focused on product development and management, contributing to the integration of AI solutions within various projects.
Educational Background
Miroslav Kral holds a Master’s Degree in Business Analytics with a specialization in Computer Science from University College London (UCL), where he studied from 2015 to 2016. He also earned a Bachelor’s Degree in Applied Informatics from Prague University of Economics and Business, studying from 2012 to 2015. His educational background provides a strong foundation in data science and analytics.
Early Career at Satalia and PwC
Miroslav Kral began his career as a Data Scientist at Satalia in 2016, where he worked for 4 months in London. He also gained experience at PwC as a Data Scientist from 2016 to 2017 for 1 year in Prague, Czech Republic. These early roles contributed to his development in data science and analytics.