I had the opportunity to interview Bimalsen Rajbhandari, a Financial Decision Data Analyst at Northwestern Medicine, and a Lawrence University alum from the Class of 2017. He earned a BA in Mathematics and Economics at Lawrence and later completed a Master of Science in Data Science at the University of Chicago. He spoke about how Lawrence played a major role in shaping both his technical and interpersonal skills. Being deeply involved on campus as President of Lawrence International, Founder and Past President of the Rotaract Club, and Student Administrative Coordinator at the International House helped him build leadership, time management, and communication skills that he now uses daily in a professional setting.
In his current role at Northwestern Medicine, Bimal focuses heavily on coding, financial modeling, and data driven decision support. He works with large datasets to analyze financial and operational performance, build models, and support strategic decisions within the healthcare system. He emphasized that his work requires not only strong technical skills, especially in tools like R, Python, SQL, and Excel, but also the ability to clearly communicate insights to non technical stakeholders. He shared that working in healthcare adds a meaningful layer to analytics, since the outcomes directly support patient care and institutional sustainability
Before Northwestern Medicine, he worked as a Senior Data Analyst at BCDVideo, where he strengthened his technical foundation through daily SQL coding, dashboard development, forecasting, and statistical analysis. He emphasized that building these skills early, along with earning certifications and staying curious, helped him grow confidently into more complex roles. He also highlighted the importance of networking and staying connected to the Lawrence community. Bimal shared that he enjoys talking with students, answering questions, and offering guidance, and encouraged Lawrence students to reach out for informational interviews, especially if they are interested in data, finance, or healthcare analytics.
