Professional Overview

Danny Butvinik is a seasoned Chief Data Scientist with a strong background in leading data science initiatives and driving business growth through data-driven insights. Currently based in Haifa, Israel, he excels in roles that require expertise in data science, research, and innovation, with a focus on the tech and healthcare industries.

Experience Summary

Current Role

As the Chief Data Scientist at NICE Actimize since 2019, Danny oversees the development and implementation of data science strategies, leveraging his expertise in machine learning, artificial intelligence, and data analytics to drive business outcomes. His key responsibilities include leading cross-functional teams, identifying emerging trends, and developing predictive models that inform business decisions.

Career Progression

Danny's career trajectory is marked by progressive leadership roles that underscore his growth as a data science expert. Notable previous roles include:

• Head of Data Science at Johnson Controls (2014-2019)

• Director of Research at GE Healthcare (2011-2014)

• Research Manager at Augmented Reality Lab (2009-2011)

• Scientific Researcher at the University of Haifa (2002-2009)

Each role has contributed to his expertise in managing research, developing data-driven solutions, and leading high-performing teams.

Academic Background

While specific details on Danny's highest level of education and relevant specializations are not provided, his professional journey suggests a strong academic foundation in fields related to data science, research, and technology.

Areas of Expertise

Danny's areas of expertise include:

• Industry-specific skills: Proficiency in data science applications within the tech and healthcare sectors.

• Technical competencies: Skilled in machine learning, artificial intelligence, data analytics, and predictive modeling.

• Leadership and management capabilities: Proven ability to lead cross-functional teams, drive innovation, and manage complex research and data science projects.

Professional Impact

Throughout his career, Danny has likely been involved in numerous projects and initiatives that have contributed significantly to the industries he serves. While specific details on notable projects, industry contributions, and measurable achievements are not available, his leadership roles and expertise suggest a high level of professional impact.

Conclusion

Danny Butvinik's professional trajectory is characterized by his commitment to data science, leadership, and innovation. Currently focused on leveraging data science to drive business outcomes, Danny brings a unique value proposition to his role as a Chief Data Scientist, combining technical expertise with leadership capabilities to foster growth and innovation in the tech and healthcare industries.