Abstract: Transaction Data has immense potential to go beyond traditional data aggregation, by banks, to connecting the dots and providing valuable customer insights across industries. By acquiring financial data, and then cleansing and enriching it, organizations can derive insights that could solve business issues like supply chain gaps, identify financial lending opportunities, improve marketing efforts of a retail giant, identify growth opportunity for clients of investment research/PE/VC, mitigate losses of and much more. Enriched transaction data is the purest form of data providing real insights into what customers are doing and what they want to do with their funds. In this session, we will explore the importance of utilizing alternative data (such as transaction data) and applying machine learning algorithms to datasets to clarify and categorize the transactional data. Institutions can leverage this customer data to provide personal experience and advice.
Bio: Pramod Singh is the chief analytics officer and vice president of data sciences and analytics at Envestnet|Yodlee since May 2015.
In his role, he is responsible for delivering analytics solutions for the organization and leads an 80-member team that comprises data scientists, analytics engineers and business analysts. Pramod has over 21 years of experience in leading analytics teams spanning design and implementation of analytics solutions, and creating strategies that impact the bottom line. His core competency lies in implementing decision science technologies like structured and unstructured data, machine learning and artificial intelligence.
Pramod has a strong experience in analytics and cutting-edge technologies. In his past role, he was the director of digital and big data analytics in HP where he joined as a data miner and progressively elevated to being part of the leadership. In his 15 years at HP, Pramod played key roles in advanced analytics in areas of customer knowledge management, e- business, global business intelligence in IT, digital and big data analytics.
Before joining HP, Pramod worked with Wal-Mart’s Information Systems team.
Pramod has a PhD and master’s in mathematics from University of Arkansas and an MBA in marketing. Pramod is author of several published papers and patents and is a regular speaker at international conferences. He is based in the Silicon Valley, California, USA.