Ileana Jarquin
@ileanajarquin
Clinical research data scientist specializing in biomechanics, machine learning, and human-subject research.
What I'm looking for
I am a clinical research specialist and data scientist with a strong foundation in biomechanics, public health, and human-subject research. I combine experimental design and statistical modeling with practical experience collecting and processing human movement data.
I have experience designing IRB-approved protocols, capturing kinematic data with 3D motion capture systems, and ensuring regulatory compliance while maintaining participant welfare in diverse settings. I apply Python, machine learning, and computer vision techniques to advance quantitative healthcare research.
My technical toolkit includes Python, SQL, MATLAB, SPSS, pandas, scikit-learn, TensorFlow/Keras, OpenCV, and MediaPipe; I build preprocessing pipelines, feature engineering, and supervised models to extract actionable insights. I have presented findings at national conferences and contributed to published collaborative research on fall risk and movement assessment.
I am passionate about translating complex human-movement datasets into evidence-based interventions and scalable models that improve clinical outcomes. I collaborate effectively across interdisciplinary teams and communicate results clearly to scientific and nontechnical stakeholders.
Experience
Work history, roles, and key accomplishments
Processing Coordinator
SOSi
Oct 2022 - Mar 2025 (2 years 5 months)
Coordinated participant welfare assessments and maintained detailed, compliant data records for Department of Homeland Security contract work, ensuring data integrity and producing structured reports for government reporting.
Adjunct Instructor
University of Texas at El Paso
Jan 2022 - May 2022 (4 months)
Taught core concepts in personal training and applied exercise science, developed evidence-based fitness programs, and led group sessions to apply physiological principles in practical settings.
Graduate Research Assistant
University of Texas at El Paso
Jan 2020 - Aug 2021 (1 year 7 months)
Conducted IRB-approved human subject biomechanics research on fall risk and multitasking, captured kinematic data with a 3D Vicon system, and applied signal processing and statistical modeling to derive public health insights.
Undergraduate Research Assistant
University of Texas at El Paso
Jan 2018 - May 2019 (1 year 4 months)
Assessed fall risk in older adults using structured movement evaluations and supported strength and conditioning research across recruitment, testing, and data reporting phases to ensure protocol adherence.
Education
Degrees, certifications, and relevant coursework
TripleTen
Certificate, Data Science
2025 - 2025
Activities and societies: Developed models (KNN, decision trees, logistic regression), performed cross-validation and F1-score evaluation, and conducted end-to-end data workflows
Completed a data science bootcamp covering supervised learning, EDA, and model evaluation using scikit-learn and pandas.
University of Texas at El Paso
Master of Science, Kinesiology (Biomechanics)
2019 - 2021
Grade: 3.90
Activities and societies: Thesis: The Effects of Dual-Tasking: Walking While Texting on Slip Recovery Mechanics; Graduate Research Assistant in Biomechanics & Motor Behavior Lab
Completed an M.S. in Kinesiology with a Biomechanics concentration, including a thesis on dual-task walking and slip recovery mechanics.
University of Texas at El Paso
Bachelor of Science, Kinesiology (Exercise Science)
2015 - 2019
Grade: 3.52
Activities and societies: Undergraduate Research Assistant in Fitness Research Lab; conference presentations and symposium contributions
Earned a B.S. in Kinesiology with an Exercise Science emphasis and a minor in Biology, conducting undergraduate research on fall risk and functional movement.
Availability
Location
Authorized to work in
Job categories
Skills
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