Education
Supria Basak’s educational journey began with a Bachelor’s degree in Computer Science & Engineering from NIT Trichy, where she also pursued a minor in Economics. Her academic coursework was focused on subjects such as Artificial Intelligence, Data Mining, and Cryptography, which laid the foundation for her analytical prowess. Currently, at WPI, she is on track to complete her MS in Information Technology by May 2025, concentrating on Data Analytics and Information Systems Design. Her coursework includes Business Intelligence, Machine Learning, and Database Design, and she has maintained a flawless GPA of 4.0, demonstrating her dedication and intellectual capability in the field.
Experience
Supria has amassed substantial experience across multiple sectors, especially in data analysis and research. At WPI, she serves as a Data Analyst, where she enhances data accuracy and drives strategic initiatives that inform business decisions. Her role includes analyzing institutional financial data and conducting research on alumni employment trends. She also played a key role in advising on the implementation of open educational resources, aiming to reduce financial burdens on students. Her previous experience as an Actuarial Data Analyst Intern at Quincy Mutual Group involved building predictive models for insurance premiums and developing automated reporting tools. As a Graduate Research Assistant and Teaching Assistant at WPI, she focused on health data analysis, contributing to the improvement of health outcomes via user behavior insights.
Research Interests
Supria’s research interests encompass a broad range of topics, including Data Visualization, Machine Learning, Healthcare Analytics, and User Behavior Analysis. She is particularly interested in studying how machine learning and data analytics can be utilized to improve decision-making processes in sectors like education, healthcare, and business. Supria has explored topics such as habit formation through app usage data, the influence of exercise routines on health outcomes, and the potential for machine learning to detect psychological disorders like Body Dysmorphic Disorder (BDD). Her work on sentiment analysis and social network studies exemplifies her ability to use data to gain deeper insights into human behavior and societal trends.
Awards
Supria has been recognized for her academic excellence and contributions to the field of data science. Notably, she was awarded the prestigious ICCR Scholarship for fully-funded undergraduate study, placing her in the top 0.5% of candidates from both India and Bangladesh. She also demonstrated leadership as the Marketing Head for Sports Club at NIT Trichy and as the Vice President of the Mental Health & Lifestyle Club. These roles illustrate her ability to balance academics with extracurricular commitments. Supria’s involvement in various hackathons and competitions, such as her placement in the TransfiNitte Hackathon and Smart India Hackathon, further emphasizes her exceptional problem-solving and innovative skills.
Publications
Alam, Mohammad Morshad, Basak, Nandita, Basak, Supria, et al. “Body Dysmorphic Disorder (BDD) Symptomatology Among Undergraduate University Students of Bangladesh.” Journal of Affective Disorders, Elsevier, Oct 2022. Impact Factor: 6.53.
Supria Basak’s forthcoming research paper will focus on detecting BDD using Machine Learning, specifically analyzing the role of cyberbullying through Natural Language Processing.
Conclusion
Supria Basak is an emerging leader in the field of Data Analytics, with a keen interest in leveraging machine learning and analytics to solve real-world problems. Her solid academic foundation, hands-on experience in various data-related roles, and her contributions to important research topics make her a promising candidate for future opportunities in data science, analytics, and beyond. Her combination of technical expertise, leadership skills, and an eagerness to continue advancing in her field ensures she will continue to make significant impacts in her chosen areas of research and industry.