Danilo Arruda

Data Analyst and Researcher at Affordance Perception - Action Laboratory (APAL/UMN)

Led seven projects involving data collection, cleaning, preprocessing, visualization, and predictive modeling. Built a machine learning model to predict cybersickness in VR. Automated secure data retrieval with Python’s API. Applied Bayesian Framework to investigate percentage data.

Data Analyst and Researcher at Perception-Action-Cerebral-Executive (PACE/UWYO)

Conducted 3D kinematics analysis on volleyball movements. Managed a 50+ participant study on attention and sports performance. Developed predictive models using time-series data and statistical parametric mapping.

Independent Researcher at Independent Researcher

Analyzed six projects using statistical tests (t-tests, ANOVAs, chi-square, etc.). Applied parametric and non-parametric methods for robust findings. Contributed to publications in journals and conferences.

Data Analyst at Laboratory of Motor Behavior and Control (GECOM/PUCPR)

Collaborated in interdisciplinary teams, integrating data from different sources and translating technical findings for various audiences. Designed experiments, collected data, and performed statistical analyses. Guided 10+ undergraduate research projects.

Data Analyst and Researcher at Affordance Perception -Action Laboratory (APAL/UMN)

Led seven projects involving data collection, cleaning, preprocessing, visualization, and predictive modeling. Built a machine learning model to predict cybersickness in VR. Developed regression models (logistic, linear, binomial) for sports performance analysis. Automated secure data retrieval with Python's API. Applied Bayesian framework to investigate percentage data. Instructed courses on perceptual-motor control and learning.

Data Analyst and Researcher at Perception-Action-Cerebral-Executive (PACE/UWYO)

Conducted 3D kinematics analysis on volleyball movements. Managed a 50+ participant study on attention and sports performance. Developed predictive models using time-series data and statistical parametric mapping.

Analyzed six projects using statistical tests (t-tests, ANOVAs, chi-square, etc.). Applied parametric and non-parametric methods for robust findings. Contributed to publications in journals and conferences.

Data Analyst at Laboratory of Motor Behavior and Control (GECOM/PUCPR)

Collaborated in interdisciplinary teams, integrating data from different sources and translating technical findings for various audiences. Designed experiments, collected data, and performed statistical analyses. Guided 10+ undergraduate research projects. Produced reports and presentations using SPSS, Excel, and PowerPoint.

Data Analyst and Researcher at Affordance Perception-Action Laboratory (APAL/UMN)

Led seven projects involving data collection, cleaning, preprocessing, visualization, and predictive modeling. Built a machine learning model to predict cybersickness in VR. Developed regression models (logistic, linear, binomial) for sports performance analysis. Automated secure data retrieval with Python’s API. Applied Bayesian Framework to investigate percentage data. Instructed courses on perceptual-motor control and learning.

Data Analyst and Researcher at Perception-Action-Cerebral-Executive (PACE/UWYO)

Conducted 3D kinematics analysis on volleyball movements. Managed a 50+ participant study on attention and sports performance. Developed predictive models using time-series data and statistical parametric mapping. Published peer-reviewed article, book chapter, and completed master’s thesis. Taught and designed courses in Biology, Motor Behavior, and Health.

Analyzed six projects using statistical tests (t-tests, ANOVAs, chi-square, etc.). Applied parametric and non-parametric methods for robust findings. Contributed to publications in journals and conferences.