Anuska Maity

Analyzed patient data to enhance the end-user experience of the 'Cozeva' platform and facilitate efficient care gap closing for Quality & Risk Metrics and Data Bridge Projects.

• Optimized the 'Cozeva' platform's end-user experience by computing patient data for Quality & Risk Metrics, directly supporting data-driven healthcare decisions.
• Contributed to Data Bridge Projects, streamlining the process of care gap closing and improving operational efficiency.
• Utilized data analysis techniques to translate complex patient information into actionable insights for platform enhancements.

Conducted in-depth analysis of mammogram data reports to develop an NLP-based model for automated BI-RADS score prediction, contributing to early cancer detection research.

• Analyzed extensive mammogram data reports from Grace Cancer Foundation and Yashoda Hospitals to identify key linguistic patterns for medical diagnostics.
• Developed an NLP-based model designed for automated BI-RADS score prediction, aiming to enhance diagnostic accuracy and efficiency in breast cancer screening.
• Applied advanced natural language processing techniques to extract and interpret critical information from unstructured medical text data.

Ongoing MS Thesis Project focused on analyzing how word memorability varies by functional role within specific memory tasks, contributing to the field of cognitive science.

Explored and compared the performance of advanced HuggingFace transformers with regularization techniques for banking intent classification.

Developed and compared spatiotemporal deep learning models for accurate badminton shot classification using video-extracted image data.

Secured 2nd place representing Heritage Institute of Technology in a prestigious inter-college vocal competition.

Lead author on a paper on investigating how word memorability varies by functional role within specific memory tasks, utilizing large-scale dataset analysis and reliability measures. Under Review : Journal of Memory and Language (Elsevier). Preprint Link (PsyArxiv) added.