Speaker Profile Thumbnail for Ben Wellington

Data Scientist & Advocate for Open Data | Founder of I Quant NY | Speaker on Strategy, Data Analytics, and Leadership

Ben Wellington Speaking Fee: $10,000 and Below

Data Scientist & Advocate for Open Data | Founder of I Quant NY | Speaker on Strategy, Data Analytics, and Leadership

Speaker Profile Thumbnail for Ben Wellington
Speaking Fee:
$10,000 and Below

Travels From:
NYC - New York City

Primary Topic Category:
Leadership and Management

Secondary Topic Category:
Strategy / Data Analytics

 

Ben Wellington Speaker Profile: At A Glance

Ben Wellington is a data scientist, educator, and leader in the open data movement. He founded I Quant NY, a blog that uses data to analyze and improve life in New York City. As a former professor at Pratt Institute, he has taught data storytelling and analytics to the next generation of thinkers. His work has influenced city policies and has been featured in The New York Times, The New Yorker, and other major publications. Wellington speaks on the power of data to drive smarter decision-making, innovation, and transparency.

Ben Wellington is a data scientist and advocate for open data, renowned for his work in analyzing and interpreting public datasets to enhance urban living. He is the creator of I Quant NY, a blog that delves into New York City's open data to uncover insights about the city's operations and advocate for data transparency. Through his analyses, Ben has influenced local policies, leading to changes in street infrastructure, taxi fare structures, and the design of subway vending machines. In addition to his blogging endeavors, Ben serves as a Visiting Assistant Professor in the City & Regional Planning program at the Pratt Institute in Brooklyn, where he teaches statistics utilizing urban open data. His academic contributions aim to equip students with the skills to interpret complex data and apply their findings to real-world urban challenges. Professionally, Ben has been associated with Two Sigma, a financial sciences company, where he has held roles including Quantitative Analyst and Deputy Head of Feature Forecasting. In these positions, he has focused on natural language processing and feature forecasting, applying machine learning techniques to quantitative finance. He also played a pivotal role in launching Two Sigma's pro bono Data Clinic, assisting non-profits in leveraging data to advance their missions. Beyond his professional and academic pursuits, Ben is actively involved in community engagement. He leads team-building and workplace training workshops for Cherub Improv, a non-profit organization that uses improvisational comedy for social good. This involvement underscores his belief in the power of storytelling and communication, skills that are evident in his data narratives and public speaking engagements. Ben holds a Ph.D. in Computer Science from New York University, specializing in Natural Language Processing. His work has been featured in various publications, including The New Yorker, and he has delivered talks on urban data at platforms such as TED. Through his multifaceted career, Ben continues to demonstrate a commitment to using data science as a tool for societal improvement and urban innovation.
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