Dr Rashmita Kudamala

• Analyze multimodal health datasets using Python, R, and MATLAB to support applied machine learning and healthcare data research • Support development of a digital health application by analyzing user data, conducting clustering analysis, and generating insights to inform feature updates • Apply predictive modeling and convolutional neural networks with time-windowed inputs to study relationships between EEG signals and human activity data • Develop and maintain data preprocessing pipelines for feature extraction and model evaluation • Collaborate with interdisciplinary research teams to produce analysis-ready datasets, reports, and presentation materials

• Produced weekly analytical reports summarizing trends, outliers, and data quality findings to support research planning and decision-making • Improved workflow efficiency by 15 percent by standardizing task tracking, documentation, and reporting processes • Coordinated datasets, deliverables, and progress updates across a six-member research team and aligned outputs with stakeholders

• Conducted more than 200 digital health assessments and maintained structured, EHR-style wellness records • Generated over 50 outcome reports using data analytics to monitor trends, engagement, and progress over time • Designed personalized, data-driven wellness plans that improved client follow-up adherence

• Delivered therapeutic care plans for 100+ patients with orthopedic and neurological conditions, ensuring measurable improvements in recovery outcomes. • Documented treatment progress and patient outcomes in compliance with clinical record standards and hospital protocols. • Collaborated with 10+ multidisciplinary clinicians to coordinate care and optimize patient treatment pathways.