As a number one Data Scientist and Machine Learning Expert, Dwipam Katariya serves US clients by safeguarding a few of their most delicate data: their funds. Not solely does the algorithmic work he does improve safety measures all through the sphere, but it surely additionally improves the shopper expertise.
Working on the shopper intent prediction crew, Dwipam researched and benchmark a state-of-the-art recommender mannequin framework. This framework depends on clickstream knowledge to assess the digital conduct of consumers and bolsters that data by taking a look at offline buyer transaction historical past. This system guarantees to scale back 21% id fraud in actual time and improves buyer id decision. This discount ensures buyer peace of thoughts and can save the FinTechs themselves hundreds of thousands per 12 months in fraud prices.
Dwipam Katariya’s framework was revealed on the International Conference in Machine Learning, one of the famend and elite machine studying conferences on this planet. The convention had lower than a 25% acceptance fee in the course of the 12 months that the Machine Learning Research was shared there, making this feat much more spectacular than it already was.
Dwipam’s contributions go even additional; he led a Machine Learning analysis agenda dedicated to making the shopper expertise tailor-made and information-rich. His crew helps a mannequin that’s continuously being refined to well timed personalize financially-relevant data and essential messages to clients based mostly on their monetary scenario. This mannequin companies hundreds of thousands of US clients, which helps them handle their funds with ease and pulls insights from their transaction historical past.
Before his present position, Dwipam didn’t work within the monetary companies subject in any respect. Instead, he supported an on-demand manufacturing firm that serves main multinational companies and US authorities organizations for his or her manufacturing wants. When a buyer wants one thing produced, they contact the group by way of their web site, get a pricing quote, and lastly place an order to get made.
Accurately pricing quotes is vital for the enterprise’s success; if a quoted value is simply too low, the product turns into unprofitable but when it is too excessive, they threat shedding clients. Dwipam developed a machine studying answer that precisely priced manufacturing elements inside seconds, bettering the group’s method to pricing and ramping up its capacity to speed up income.
When used appropriately, knowledge is so highly effective. Businesses that fail to use knowledge in the proper methods are leaving cash on the desk, shorting the expertise their clients can have, and shedding market share to extra technologically superior organizations. We reside in an age the place knowledge is throughout us, but it surely’s individuals like Dwipam that flip that knowledge into one thing helpful and actionable.
Dwipam shouldn’t be solely a number one scientist with a singular expertise in Machine Learning however can also be a seasoned inventor credited with a number of patents in his subject. As, a member of IEEE, Harvard Square, IAENG, IFIA, and SAS society Dwipam networks with different sensible minds in knowledge science to keep present on new developments in his business and use these developments to add worth wherever he’s. He additionally mentors different AI and ML professionals, peer critiques machine studying analysis papers for Data Science Journal(DSJ) at codata.org, and even writes scholarly articles for world-renowned and most-read publications akin to Towards Data Science and Analytics Vidya.