Within the dynamic landscape of our organization, our nimble information science team consistently addresses the most pressing concerns of both our clients and prospects by leveraging their unique blend of technical expertise, creative problem-solving skills, and collaborative approach to deliver tailored solutions that drive tangible results.
At Razorpay, our mission is to provide a comprehensive fintech solution for all the financial needs of enterprises. We enable online financing and provide a range of financial solutions to tens of millions of businesses across India and Southeast Asia.
Since my arrival in 2021, the company has successfully acquired six corporations, significantly expanding our product offerings.
Despite our impending takeoff, Razorpay must contend against far larger corporations possessing significant resources to establish data science teams from the ground up. We sought a strategy that leveraged the expertise of our 1,000+ engineers to develop more innovative and high-quality designs in a timely manner. Our AI-driven vision was centered on equipping our entire organization with the power of AI.
To successfully put AI in the hands of engineers, we prioritized user-friendliness during our evaluation of AI solutions, ensuring that our chosen option would be effortlessly navigable. They sought the freedom to scale quickly, requiring minimal guidance and support throughout the process.
Irrespective of an individual’s background, we aim for them to rapidly access and derive insights from the data.
In the past, AI experimentation required an entire week of dedicated time and effort. We’ve successfully reduced that target by 90%, resulting in a significant influx of leads within mere hours. Anyone seeking to bridge their minds with AI’s innovative thinking can take the leap. What’s more, consider the substantial productivity boost that comes from these time and financial savings, amplified across our entire engineering workforce.
With that velocity, we were able to overcome one of our most complex customer-facing issues: identifying and preventing fraudulent orders. In the field of information science, timelines typically unfold over periods of weeks or months; yet our team managed to complete it in a remarkably short span of just 12 hours. The next day, we successfully executed our plan to block all malicious trades without disrupting a single legitimate transaction. As ideas rapidly materialize into reality, it’s truly enchanting to witness their profound impact on customers.
When users upload data to DataRobot, we recommend they take time to thoroughly explore their datasets before rushing to train models. Given the significant time and cost efficiencies that DataRobot provides, organizations will likely continue to leverage this technology to inform their decision-making processes and gain valuable insights into their construction projects.
The intuitive layer empowers users to effectively leverage the DataRobot Platform’s capabilities and uncover valuable data-driven insights.
At the same time, concerns about coding accuracy are significantly diminished. When consultants successfully bring their ideas to life on the platform, they exude confidence in the value they’ve delivered.
As a pioneer in cloud infrastructure, our company exclusively leverages Amazon Web Services (AWS) as the foundation for all cloud-based operations. With our acquisition of DataRobot through the AWS marketplace, we were able to start leveraging the platform within 48 hours. If this project had taken a typical seven days to complete, as is often the case with startups, we would likely have experienced a significant service disruption.
With seamless integration of the DataRobot AI Platform into a more comprehensive ecosystem, we’ve established the necessary infrastructure to effectively tackle our predictive and generative AI endeavors.
In the highly scrutinized fintech industry, we must adhere to a multitude of rigorous compliance, security, and auditing requirements.
DataRobot ensures that our models are aligned with our values of transparency, bias-free decision-making, and equitable outcomes in every instance. Accountability is ensured through our commitment to transparency in every aspect of our actions.
To facilitate seamless integration, establishing standardised operating protocols has been essential. As I explored DataRobot, I meticulously recorded the procedures to facilitate seamless onboarding for my team and like-minded professionals.
What’s subsequent for us? Significant advancements in knowledge science have been observed over the past few years. As AI narrows the gap in simulating human behavior, we’re making quicker decisions with greater accuracy.
What truly thrills me about AI is its evolution into a trusted collaborator, effectively becoming an indispensable co-pilot that amplifies our creative endeavors and problem-solving capabilities.
While our competitors possess a significant advantage in terms of workforce size, with their numbers potentially exceeding ours by a factor of ten. With the time saved through DataRobot, we now have the opportunity to move forward. The platform serves as a potent catalyst for developer productivity, empowering our current engineers to prepare for the next generation of innovation and rapidly deliver value to our customers.
Concerning the writer
Pranjal Yadav boasts a decade-long track record of excellence in his field of expertise. As the current Head of AI/ML at Razorpay, he spearheads pioneering efforts that harness the power of machine learning and artificial intelligence to propel business growth and optimize operational efficiency.
With extensive expertise in machine learning, system architecture, and option engineering, Pranjal boasts a proven track record of designing and implementing robust and scalable solutions that deliver impressive results. With a deep understanding of algorithms merged seamlessly with his management acumen, he excels at mentoring and coaching teams, cultivating a culture of sustained improvement and outstanding performance.
Throughout his career, Pranjal has consistently showcased the ability to craft and execute strategic initiatives that effectively address complex business requirements. With an unwavering passion for excellence and commitment to innovation, he has established himself as a highly respected leader in the industry, driven by a relentless pursuit of advancing the frontiers of artificial intelligence and machine learning.
