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Kevin Saunders Investigative thinker growing through structured practice…
Kevin Saunders
Investigative thinker growing through structured practice
Personality Traits
Investigative (62%)
Data-driven
Analytical
Independent work
Realistic (14%)
Hands-on orientation when needed
Practical problem solving
Conventional (13%)
Preference for structure and accuracy
Data-backed decisions
Artistic (7%)
Creative data storytelling potential (explore)
Social (4%)
Moderate collaboration capability
Areas for Improvement
Public communication of technical ideas
Next step: practice explaining analyses to non-experts
Collaboration and teamwork in diverse groups
Next step: engage in group projects; seek feedback on teamwork
Time management for large projects
Next step: adopt planning tools (Gantt/Kanban); set milestones
Presentation and storytelling with data
Next step: take a data storytelling course; create simple dashboards
Strengths / Skills
analysis and interpretation
Evidence: high Investigative orientation; comfort with numbers
Research design and scientific method
Evidence: interest in experiments, data collection, analysis
Organization and process orientation
Evidence: liking for structure, planning, and clear steps
Independent work ethic
Evidence: tends to work well solo on complex tasks
Attention to detail and accuracy
Evidence: conventional emphasis on precision
Critical thinking and problem solving
Evidence: enjoys complex problems and logical reasoning
Interests and Explorations
Core interests
Data analysis, scientific method, research
Psychology, neuroscience, life sciences, zoology
Environment, sociology, anthropology, geography, history
Political science, science/tech, natural sciences
Process-oriented interests
Experimentation, research design, organizing information
Learning, complex problem solving, symbol interpretation
Potential career directions
Data analyst/scientist in life sciences or psychology
Research assistant / program evaluator
Environmental data analyst; science communicator
Policy analysis with a data-driven focus
Exploratory interests to pursue
Data visualization and storytelling
Educational outreach or STEM mentoring
Cross-disciplinary research bridges (neuroscience + sociology + data)