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In my 15+ years in the data world, I've made it my mission to bring clarity and purpose to the often chaotic landscape of big data. My approach combines strategic insight and technical expertise with a dash of philosophical wisdom. My journey in data has been anything but conventional. From leading data teams at e-commerce giants to co-founding a startup that democratized data access, I've seen data chaos in all its forms. My secret? I treat each data point like an ingredient in the perfect hummus - it needs to be just right and serve a clear purpose. As a leader, I don't just manage data; I cultivate data-driven cultures. I'm known for my ability to align cross-functional teams, turning data silos into collaborative ecosystems. My leadership style, inspired by zen principles, focuses on simplicity, mindfulness, and continuous improvement. Beyond the boardroom, I'm a passionate advocate for data literacy. I host the podcast "WHAT the data?!", where I break down complex data concepts for business leaders with the same ease as spreading hummus on pita. My book, "Data is Like a Plate of Hummus," has become a quirky yet insightful guide for organizations navigating the data landscape. Whether I'm optimizing data infrastructure, implementing advanced analytics, or speaking at international conferences, my goal remains the same: to bring a sense of calm and clarity to data chaos. With a master's degree in Decision Making and Negotiation, I don't just solve data problems; I anticipate them. In a world overwhelmed by information, I strive to be a guide, helping organizations find their data zen - one insight at a time.

The beautiful humans of HackerNoon have collectively read @liorb's 23 stories for 19 days 13 hours and 59 minutes.

#Interests

startup-marketing

ux

technology

strategy

product

startup

cryptocurrency

marketing

business-strategy

product-management

founders

startups

business

startup-advice

entrepreneur

management

product-design

entrepreneurship

data-structures

founder-advice

cloud-computing

machine-learning-uses

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