Using GIS to Measure What Makes a City Thrive

Posted November 5, 2024December 27, 2025 in Data Science, International Students, Stories, Students, Uncategorized

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Data science, geographic analysis, and applied research converge in the graduate work of Athang Sanjeev Bhandarkar, a master’s student in Data Science at Rutgers-Camden. Through hands-on research using Geographic Information Systems, he has examined the happiness index of Cali, Colombia, analyzing how factors such as crime, air quality, and spatial conditions shape social outcomes. Grounded in rigorous coursework and faculty-mentored research, this work reflects a broader focus on translating technical training into practical, real-world insight.

Why Data Science at Rutgers-Camden

My inspiration for choosing my graduate program stemmed from a combination of factors. Firstly, the rigorous curriculum and the esteemed reputation of Rutgers University–Camden in data science captivated me. The program’s comprehensive coursework and practical learning approach appealed to my eagerness to deepen my knowledge and skills in this rapidly evolving field.

Additionally, the opportunity to work alongside esteemed faculty members and engage in cutting-edge research projects was a significant draw. I was inspired by the prospect of contributing to innovative research initiatives and gaining practical experience, preparing me for a successful career in data science.

Moreover, the vibrant and diverse academic community at Rutgers-Camden, along with its proximity to industry hubs, provided ample opportunities for networking, collaboration, and professional growth. These elements collectively fueled my motivation to embark on a fulfilling journey toward achieving my academic and career aspirations in data science.

Academic & Technical Preparation

My journey has been an enriching exploration of the intersection between learning, research, and practical application in data science.

Prior to joining Rutgers University–Camden, I completed my Bachelor of Technology in Information Technology Engineering at Mumbai University in India. This background allowed me to bridge theory and practice, applying a rigorous academic foundation to real-world challenges in data analysis and modeling.

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Applied Research & Collaboration

Working with distinguished faculty members such as Dr. Adam Okulicz-Kozaryn on cutting-edge research projects has been immensely rewarding. My role as a Geographic Information System Research Assistant under Dr. Okulicz-Kozaryn at Rutgers University–Camden, NJ, enabled me to conduct a thorough analysis of Cali, Colombia’s happiness index, considering various factors such as crime and air quality.

The academic community at Rutgers-Camden and its industry connections have offered numerous networking and collaboration opportunities, further motivating me to pursue my graduate studies and achieve my academic and career goals in data science.

Moving forward, I am excited to continue my research with Dr. Imam Dehzangi, aiming to advance the data science field and potentially contribute impactful publications to the academic community and society.

A Defining Research Experience

A highlight of my time at Rutgers-Camden has been engaging in collaborative research projects. A particularly memorable project involved analyzing the impact of various factors on the happiness index of Cali, Colombia. This experience deepened my understanding of data science methodologies and underscored the importance of collaborative and interdisciplinary approaches to research.

The Graduate School at Rutgers-Camden has significantly contributed to my career goals by offering a rigorous academic curriculum, practical learning opportunities, and professional development, equipping me with the skills necessary for a successful career in data science.