Near Intelligence Appoints Dan Putler as Chief Data Scientist to Drive Analytics Innovation

by | Jan 16, 2024

Former Alteryx Chief Scientist will help Near customers gain advanced insights on the consumer behaviors that drive their businesses

 

PASADENA, Calif.- Near Intelligence, Inc. (OTC: NIRLQ), a Data Intelligence Platform that provides insights on people and places, today announced that it has appointed Dan Putler as its Chief Data Scientist. With an illustrious career marked by expertise in predictive analytics, machine learning, optimization, and geographic information systems, Putler brings a wealth of experience to the Company.

In this new role, Putler will define Near’s analytics offerings and develop Near’s AI strategy, with a deep focus on ensuring data quality and identifying and pursuing focus areas for analytics enhancement to help customers derive maximum value from Near’s global data sets, empowering operational and marketing leaders with solutions to help them engage and grow their businesses at scale.

“Dan Putler’s appointment as Chief Data Scientist underscores our steadfast dedication to continually advancing the analytics agenda of our industry, customers and partners,” said Gladys Kong, CEO, Near. “Dan brings a proven track record in applying statistics, econometrics, and GIS tools to create new, cutting-edge solutions for businesses. His work will undoubtedly elevate our capabilities and drive innovation in our solutions. We look forward to Dan’s impactful contributions to Near’s success.”

“I’m thrilled to be joining Near, a leader in understanding consumer behavior,” said Dan Putler, Chief Data Scientist at Near. “Building on the work I did at Alteryx to further predictive analytics and business machine learning, along with my prior academic work on advanced quantitative models of customer behavior, I look forward to exploring and enhancing Near’s data intelligence solutions across myriad operational and marketing use cases. I look forward to the opportunity to contribute to Near’s vision, helping tackle complex business problems through the application of advanced analytics and AI.”

Prior to joining Near, Putler served as the Chief Scientist at The Public Health Company, where he played a pivotal role in shaping product strategy and leading product development. Previously, he was Chief Scientist at Alteryx, where he was also one of the primary developers of Alteryx’s R-based predictive analytics and business machine learning tools. Additionally, as the Co-Founder and Chief Data Scientist at Anemoi Analytics, he spearheaded the development of geo-data for business intelligence.

Putler’s academic background includes a Ph.D. in Agricultural and Resource Economics from the University of California, Berkeley. He served as an Associate Professor of Marketing and Marketing Division Chair at the Sauder School of Business at the University of British Columbia, as well as an Assistant Professor of Management at Purdue University Krannert School of Management.

About Near

Near, a Data Intelligence Platform, provides insights on people and places. Near’s patented technology analyzes data on approximately 1.6 billion unique user IDs across 70 million locations in more than 44 countries. With Near’s high-quality data and commitment to privacy, operational and marketing leaders are empowered with solutions to successfully engage and grow their businesses at scale. With a presence in Los Angeles, San Francisco, Paris, Bangalore, Singapore, Sydney, and Tokyo, Near serves enterprises in a diverse spectrum of industries, including retail, real estate, restaurants, travel/tourism, telecom, media, and more. To learn more, please visit: https://near.com. On December 8, 2023, Near and certain of its subsidiaries filed voluntary petitions for relief under Chapter 11 of the United States Bankruptcy Code in the United States Bankruptcy Court for the District of Delaware. Additional information about the Chapter 11 case, including access to Bankruptcy Court documents, is available online at https://cases.ra.kroll.com/near.

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