UXPA Boston Board Nominee: Bhumika Shah

I am Bhumika Shah, a Data Solution Engineer, PhD Scholar, and Professor based in Connecticut, specializing in AI, Data Engineering, and Information Governance. With over seven years of experience, I have designed scalable data pipelines, optimized data governance frameworks, and developed AI-driven predictive models that enhance decision-making and drive operational efficiency across industries such as healthcare, insurance, and retail. My work has been published in peer-reviewed journals, reflecting my deep commitment to leveraging AI and data engineering to improve regulatory compliance and business processes.

As a professor at Post University, I designed and taught a graduate-level Data Management course, where I equipped students with hands-on expertise in SQL, cloud-based data engineering, and data governance. I also mentor master’s students, guiding them to bridge the gap between academic knowledge and real-world industry challenges.

Currently, I am pursuing a PhD in Information Technology at the University of the Cumberlands, where I am advancing research in big data analytics, business intelligence, and AI applications in healthcare. My research focuses on integrating AI and large-scale data analysis to predict chronic conditions and improve patient outcomes.

I am passionate about user experience (UX) and its intersection with data and AI. I believe that designing data-driven systems with a user-first approach is essential for driving innovation and ensuring adoption. My unique blend of technical expertise and teaching experience allows me to bring valuable insights to UX practitioners, helping them build intuitive and impactful data-centric products.

As a prospective board member of UXPA Boston, I am eager to contribute my expertise in AI, data engineering, and information governance to the UX community. I look forward to collaborating with fellow leaders, advocating for user-centered AI solutions, and helping shape the future of UX by bridging the gap between technology and human-centered design.

I am eager to join the UXPA Boston Board because I am deeply passionate about bridging the gap between technology, data engineering, and human-centered design. As a Data Solution Engineer and AI expert, I have spent years developing intelligent systems that enhance decision-making, streamline operations, and improve regulatory compliance across industries. However, I have learned that even the most advanced data systems can fall short if they are not designed with a strong understanding of user behavior, needs, and expectations.

My work has shown me that data engineering and UX are inherently connected—the quality of a user’s experience often depends on how well the underlying data systems process, analyze, and present information in an intuitive and meaningful way. Whether it’s designing AI models that generate real-time insights or building scalable data pipelines, I believe that the success of these solutions is directly tied to how easily users can interact with and derive value from them. A seamless, user-centric interface built on top of complex data processes ensures that technical advancements translate into actionable insights and improved decision-making.

As a professor and mentor, I have guided students in understanding how to build data-driven systems that not only perform well but also prioritize the user experience. I believe that empowering professionals with this knowledge can lead to the creation of impactful solutions that balance technical excellence with usability.

Joining the UXPA Boston Board would allow me to bring this perspective to the UX community, fostering a stronger dialogue around how data engineering and UX can work together to create systems that are both powerful and user-friendly. I am excited about the opportunity to collaborate with other leaders, advocate for the responsible integration of AI and data into UX design, and help shape the future of UX by ensuring that data-driven systems are built with empathy and user-centered design principles.

I have had the privilege of contributing to the academic and professional communities through various volunteering experiences. I have delivered guest lectures at several universities, where I shared insights on AI, data engineering, information governance, and the intersection of data and UX design. These sessions have not only allowed me to mentor and inspire future professionals but also enabled me to bridge the gap between theoretical knowledge and real-world applications, helping students better understand how emerging technologies impact user experiences and decision-making.

Additionally, I have served as a Session Chair for IEEE conference, where I facilitated discussions and guided conversations on cutting-edge topics in AI, data analytics, and information systems. In this role, I had the opportunity to engage with researchers, practitioners, and thought leaders, ensuring that the sessions fostered meaningful dialogue and knowledge exchange.

These experiences have strengthened my commitment to promoting education, encouraging innovation, and driving collaboration across disciplines.