dotData Expands Leadership Team to Meet Accelerating Demand for its Data Science Automation Platform

dotData Expands Leadership Team to Meet Accelerating Demand for its Data Science Automation Platform

January 14, 2019

Company Appoints Vice President of Data Science and Solutions and Vice President of Sales

Cupertino, CA – Jan. 14, 2019dotData, the first and only company focused on delivering end-to-end data science automation and operationalization for the enterprise, today announced that it has expanded its leadership team with the addition of Aaron Cheng, Ph.D. as Vice President of Data Science and Solutions, and Radesh Ganeshkumar as Vice President of Sales.

Cheng and Ganeshkumar collectively bring extensive leadership experience in data science, big data and technology to dotData. They will be instrumental to the company’s growth strategy as it expands to meet global market demand for its data science automation platform.

As Vice President of Data Science and Solutions, Cheng leads the dotData data science team and works with clients to solve their most challenging problems. Cheng is a data science practitioner with 14 years of research and industry experience.  He is leading new product development initiatives in the fields of data science and business intelligence.  Prior to joining dotData, Cheng was a Data Science Principal Manager with Accenture Digital.  There, he was instrumental in the strategic expansion of Accenture Digital’s footprint for the data science market in North America. Cheng received his Ph.D. degree in Applied Physics from Northwestern University.

Ganeshkumar leads dotData’s global sales organization and is responsible for the company’s sales and growth strategy. Ganeshkumar is a proven enterprise software sales leader with more than 15 years experience with tech startups in the big data space.  Prior to joining dotData, Ganeshkumar managed global sales teams at AtScale, Visual IQ, and SeeSaw Networks. Ganeshkumar received his M.S. degree in Environmental & Nuclear Engineering from George Washington University.

“We are excited to build our data science and sales teams with these two leaders who intimately understand our market and the challenges that our customers face,” said Ryohei Fujimaki, Ph.D., CEO and founder of dotData. “The pressure to achieve greater ROI from AI and machine learning initiatives is pushing more business leaders to seek innovative solutions, such as our data science automation platform. We are expanding our team and services to meet the growing global demand we are seeing.”

dotData’s AI-powered Data Science Automation Platform completely automates the entire data science process, from data collection through production-ready models, including feature engineering. As a result, the entire data science process is accelerated from months to days, enabling companies to rapidly scale their AI/ML initiatives to drive transformative business changes.

The dotData Platform also democratizes the data science process by enabling more participants with different skill levels to effectively execute on projects, making it possible for enterprises to operationalize 10x more projects with transparent and actionable outcomes.

About dotData
dotData is the first and only company focused on delivering end-to-end data science automation for the enterprise. dotData’s AI-powered data science automation platform speeds time to value by accelerating, democratizing and operationalizing the entire data science process, from raw data through feature engineering to ML models in production. dotData is delivering new levels of speed, scale and value in successful deployments across multiple industries, including several Fortune Global 250 clients.

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dotData Inc.

dotData Automated Feature Engineering powers our full-cycle data science automation platform to help enterprise organizations accelerate ML and AI projects and deliver more business value by automating the hardest part of the data science and AI process – feature engineering and operationalization. Learn more at, and join us on Twitter and LinkedIn.