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I'm Samuel Rosario, a data scientist and biomechanics researcher who loves turning messy data into clear, actionable insights. I blend advanced analytics with hands-on domain knowledge to drive scientific and technical solutions, and I have designed machine-learning prompts to improve accuracy and efficiency. I enjoy translating complex results into practical decisions that boost organizational value. I'm a former PhD researcher at the University of Toledo. I have led analyses of IMU datasets, built automated pipelines in MATLAB, and collaborated with coaches to translate computational findings into athletic performance improvements. I design workflows to process high-volume data efficiently, expanding data interpretation capabilities and reducing manual labor while delivering robust, data-driven results.…I'm Samuel Rosario, a data scientist and biomechanics researcher who loves turning messy data into clear, actionable insights. I blend advanced analytics with hands-on domain knowledge to drive scientific and technical solutions, and I have designed machine-learning prompts to improve accuracy and efficiency. I enjoy translating complex results into practical decisions that boost organizational value. I'm a former PhD researcher at the University of Toledo. I have led analyses of IMU datasets, built automated pipelines in MATLAB, and collaborated with coaches to translate computational findings into athletic performance improvements. I design workflows to process high-volume data efficiently, expanding data interpretation capabilities and reducing manual labor while delivering robust, data-driven results.

Samuel Rosario

Data Scientist, Data Analyst, AI Engineer, +2

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I'm Samuel Rosario, a data scientist and biomechanics researcher who loves turning messy data into clear, actionable insights. I blend advanced analytics with hands-on domain knowledge to drive scientific and technical solutions, and I have designed machine-learning prompts to improve accuracy and efficiency. I enjoy translating complex results into practical decisions that boost organizational value. I'm a former PhD researcher at the University of Toledo. I have led analyses of IMU datasets, built automated pipelines in MATLAB, and collaborated with coaches to translate computational findings into athletic performance improvements. I design workflows to process high-volume data efficiently, expanding data interpretation capabilities and reducing manual labor while delivering robust, data-driven results.…I'm Samuel Rosario, a data scientist and biomechanics researcher who loves turning messy data into clear, actionable insights. I blend advanced analytics with hands-on domain knowledge to drive scientific and technical solutions, and I have designed machine-learning prompts to improve accuracy and efficiency. I enjoy translating complex results into practical decisions that boost organizational value. I'm a former PhD researcher at the University of Toledo. I have led analyses of IMU datasets, built automated pipelines in MATLAB, and collaborated with coaches to translate computational findings into athletic performance improvements. I design workflows to process high-volume data efficiently, expanding data interpretation capabilities and reducing manual labor while delivering robust, data-driven results.

Available to hire

I’m Samuel Rosario, a data scientist and biomechanics researcher who loves turning messy data into clear, actionable insights. I blend advanced analytics with hands-on domain knowledge to drive scientific and technical solutions, and I have designed machine-learning prompts to improve accuracy and efficiency. I enjoy translating complex results into practical decisions that boost organizational value.

I’m a former PhD researcher at the University of Toledo. I have led analyses of IMU datasets, built automated pipelines in MATLAB, and collaborated with coaches to translate computational findings into athletic performance improvements. I design workflows to process high-volume data efficiently, expanding data interpretation capabilities and reducing manual labor while delivering robust, data-driven results.

Skills

Experience Level

Expert

Expert

Expert

Expert

Intermediate

Language

English

Fluent

Work Experience

Data Scientist, Data Annotation

August 1, 2025 - November 1, 2025

Developed and optimized machine-learning prompts for scientific and technical applications, enhancing data interpretation accuracy. Executed validation logic, conducted prompt testing, and assessed LLM performance to improve model workflows. Enhanced data accuracy through machine-learning prompt refinement. Contributed to model improvement via comprehensive evaluation processes.

PhD Researcher at University of Toledo, Motion Analysis & Integrative Neurophysiology Lab

August 1, 2021 - August 1, 2025

Conducted analysis of high-volume IMU datasets from 60 runners, extracting stride parameters and axial acceleration metrics. Developed MATLAB workflows for outlier filtering and stride event detection. Integrated biomechanics and metabolic testing datasets into automated analytical pipelines. Collaborated with coaches to apply computational findings in athletic evaluation. Designed workflows to compute cumulative acceleration and detect initial contact events. Enhanced data processing efficiency for over 1M data points per trial.

Graduate Research Assistant at Ball State University Biomechanics Lab

August 1, 2019 - August 1, 2021

Designed and executed thesis research on neuromuscular fatigue and kinematic adaptations. Conducted 3D motion capture and processed EMG signals to evaluate movement strategies and injury risk. Developed experimental protocols to enhance data accuracy. Analyzed results to inform future studies.