Two studies. Two roles. One shared research discipline.
In Ybor City, I co-owned a resident-and-worker research workstream and personally collected about 250 responses. In Westshore, I led the analytical workstream that moved survey data into charts and presentation materials.
Research Analyst · 2025 · SurveyMonkey, Excel, PivotTables, charts, PowerPoint
What were residents and workers experiencing, prioritizing, and perceiving?
Field collection plus analysis and reporting support.
Analytical workstream leadership plus presentation support.
Structured findings for district stakeholders and leadership.
The method was related. My ownership was not identical.
Both projects asked residents and workers to describe their district experience. Both relied on structured survey data, outreach, analysis, and stakeholder communication. The difference is where I carried the most responsibility: Ybor required substantial hands-on response collection; Westshore placed me deeper in the analysis and presentation workflow.
A 459-person study with a major fieldwork contribution.
The public study reported 253 resident respondents and 206 worker respondents. I personally collected approximately 250 responses and supported SurveyMonkey and Excel analysis, tables, charts, and reporting.
The fourth study iteration, led through the analytical workstream.
Westshore leadership needed an updated view of resident and worker priorities and perceptions. I handled SurveyMonkey and Excel data, built PivotTables and charts, and supported the final PowerPoint and community outreach.
Fieldwork was part outreach, part operations.
Collecting approximately 250 responses meant repeatedly moving from introduction to participation while staying attentive to who the study was reaching. Each completed response was one part of a broader 459-person dataset, split between 253 residents and 206 workers.
I also supported the work after collection by helping organize responses and prepare tables, charts, and reporting materials. That combination gave me a direct view of how the quality of outreach affects the analysis that follows.
01
Personal collection
Approximately 250 resident and worker responses.
02
Study-wide sample
459 respondents: 253 residents and 206 workers.
03
Analysis support
SurveyMonkey and Excel work feeding tables, charts, and stakeholder reporting.
The job was to turn survey output into a leadership-ready view.
I led my analytical workstream from structured survey output through Excel PivotTables, charts, and presentation support. The work required more than moving numbers into slides: the summaries had to be readable, faithful to the survey, and useful in a stakeholder conversation.
Organize the responses
Work with SurveyMonkey and Excel data so the underlying information could be reviewed consistently.
Build the comparison
Use PivotTables, summaries, and charts to surface differences and recurring patterns.
Prepare the findings
Support the final PowerPoint and help move analytical detail into client-ready materials.
From community voice to a structured stakeholder conversation.
Reach
Use outreach and fieldwork to invite both resident and worker perspectives into the study.
Structure
Move responses into SurveyMonkey and Excel views that preserve the study’s categories and respondent groups.
Analyze
Build tables, PivotTables, and charts that make the findings easier to compare and explain.
Present
Support reporting and PowerPoint materials for district leadership and other stakeholders.
The two cases show range across the same research lifecycle.
Ybor demonstrates high-volume field collection paired with analysis support. Westshore demonstrates workstream leadership in data preparation, visualization, and stakeholder communication. Together, they show that I understand the connection between how evidence is gathered, how it is structured, and how it is finally presented.