Juan Carlos Hdez Vizcarra
SPSS Data Analyst | Survey Analysis | Research Insights
New to Contra
Juan Carlos is ready for their next project!
š§ Research Data Analysis Project
This project focused on the statistical evaluation of psychological well-being and academic satisfaction using survey-based research data.
The workflow included database preparation, data cleaning, coding, descriptive statistics, and inferential analysis to identify patterns and relationships within the collected information. Findings were transformed into clear visualizations and research-ready outputs to support interpretation and decision-making.
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5
š¬ Software Development & Laboratory Automation Project
This ongoing project focuses on developing a laboratory calculation tool designed to automate routine calculations used in laboratory workflows and solution preparation.
The objective is to reduce manual calculations, minimize errors, improve consistency, and streamline laboratory processes through a user-friendly automated system.
Using Python and AI-assisted development workflows, the application is being designed to support laboratory professionals by providing fast and reliable calculations for common laboratory procedures.
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6
š Clinical Research & Bioethics Project
As part of a pilot clinical trial, I participated in the development and preparation of a research protocol designed to meet scientific, methodological, and ethical requirements for human-subject research.
My role included supporting study design, protocol development, bioethical considerations, research documentation, data collection planning, and preparation of materials required for ethical review.
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š§ Psychological Well-Being & Academic Satisfaction Survey Analysis
š Research Data Analysis Project
This project involved the statistical analysis of survey data exploring the relationship between psychological well-being and academic satisfaction among students.
The workflow included data cleaning, coding, validation, and statistical processing to transform raw survey responses into meaningful insights. Results were summarized through visualizations and interpreted to identify patterns and trends within the dataset.
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