In an era where data science stands as a pillar of innovation and transformative insights, being recognized as a 'Best Firm for Data Scientists' by a prestigious publication is not just an accolade but a testament to an organization's unwavering commitment to excellence. Today, we bring you exclusive insights from two key leaders at MiQ, Biddappa Muthappa, Director, Data Science, and Hitesh Nahata, Director- Data Science and Analytics, as they share their perspectives on what this significant recognition means to MIQ.
AIM: Congratulations on being recognized as the Best Firm for Data Scientists by Analytics India Magazine. Can you share what this recognition means to MiQ and how it aligns with your data science initiatives?
Biddappa Muthappa: I want to take this opportunity to thank Analytics India Magazine for recognising MIQ as one of the best firms for data scientists. It's a great testament to our team's hard work in developing cutting-edge solutions for our stakeholders and customers. So, every year, we build our data science strategy in a way that focuses on key initiatives to improve our core data science practices, implement new cutting-edge technology, and consistently strive for stretch goals beyond our day-to-day deliverables. This recognition will motivate us to double down on our efforts to create best-in-class data science practices and align with our core strategy to be number one in this space.
AIM: What specific practices or strategies within MiQ do you believe contributed to this recognition?
Biddappa Muthappa: We have come a long way in experimenting with multiple data sciences and best practices within our team. In the last few years, we have successfully implemented critical processing practices, enabling our team to drive value and contribute to the overall MIQ growth. I will discuss three crucial practices or strategies contributing to this recognition.
One is to start with the Result-Focused Approach. So, we provide our team with complete autonomy to use any data science or analytical toolkit to solve problems. We emphasise the business value and the model or tool used to achieve it. This process will help our team understand the end impact and increase adoption, which, in turn, contributes to the company's overall growth.
The second is the Delivery Discovery Framework. In any data science or analytics team, balancing delivering results and conducting research to meet the end customer's expectations is crucial. So, at MIQ, we have a clear and solid framework for addressing both delivery and the research-oriented problem statement. This framework helps each experiment and learn continuously.
Finally, create an Environment To Innovate. As we all know, data science and analytics are evolving rapidly. And it's crucial to create an environment where the team can continuously learn and understand new concepts and drive innovation. To summarise, these three factors could help us scale, grow, and be number one in the space we operate.
