What you're looking at
Rowan's senior criminology seminar was a semester-long project using public registry and Census data. The unglamorous part, cleaning and documenting messy datasets, turned out to be the part that mattered most, and it pointed directly at the career Rowan wants.
This sample is here for the second half. Rowan built one Story Core, then cut it four different ways for four different audiences. If you've ever wondered whether you have to start over every time someone asks about your experience, this is the answer.
Part one: Rowan's Story Core
The source material. Everything in part two comes from here.
Choosing an experience
Name it
Mapping the relationship between registered sex offender residency and community characteristics in Upstate New York.
Describe it
For our senior capstone, teams investigated whether registered sex offenders were more likely to live in communities with higher social and economic disadvantage, using the NYS Sex Offender Registry and U.S. Census American Community Survey data.
Situation
Senior seminar in sociology and criminology. Semester-long, with small teams assigned by region, combining NYS Registry and Census county-level data to explore patterns.
Task
Rowan drafted this one roughly and moved on. The goal at this stage is to get ideas out, not to be perfect.
My part: clean and organize datasets so our team could analyze and report. Check accuracy, fix inconsistencies, decide what fields matter.
Actions & Results
Used technology
Used spreadsheet and database tools to audit, format, and validate fields, adapting workflows as new issues came up.
- Scanned hundreds of rows for duplicates and format issues.
- Reconciled county names and codes across sources.
- Created a change log recording what was edited and why.
- Set simple data standards: date formats, field definitions.
- Flagged ethical issues around the use of sensitive data and asked the professor for guidance.
- Result: a dataset ready for analysis.
Worked with others
Coordinated conventions with teammates. Our team's workflow became the model, and I was asked to support other teams in applying the process.
Communicated with purpose
Explained cleaning decisions in plain language and produced a short guide others could follow.
Spot my Skills in Action
Four capabilities surfaced, each with evidence
Critical Thinking & Inquiry
Investigated inconsistencies across datasets, weighed source reliability, and made criteria-based decisions about what to keep or remove.
Professionalism
Maintained a change log and data standards, ensuring reproducibility and clarity for teammates.
Ethical & Inclusive Practice
Considered privacy and stigma when handling sensitive information, and sought guidance on responsible use.
Leadership
Proposed a shared checklist and informally coached peers, raising class-wide quality.
Then Rowan narrowed to three and wrote a hard evidence statement for each
Critical Thinking & Inquiry
"Compared ACS county identifiers with registry entries and set rules for resolving conflicts, prioritizing official FIPS codes to avoid mismatches."
Professionalism
"Kept a detailed change log with reasons and timestamps so anyone could replicate our steps."
Ethical & Inclusive Practice
"Consulted course guidance before retaining potentially identifying fields and documented why we limited certain details."
Reflect
- Learned how small formatting choices can distort findings, and how transparency in methods supports fairness and trust in results.
- Strengthened my data-quality decision-making and ethical use of sensitive data. Also learned how to create and communicate workflows others can use.
- In a crime analyst role, I can apply this by creating simple, documented cleaning workflows that balance completeness with confidentiality, and by communicating decisions to non-technical partners.
- I see that careful methods are not just technical. They shape how communities are represented and how decisions get made.
Part two: moving the story forward in four formats
Same experience, same facts. Four different jobs to do.
The 30-second interview answer
For: "Tell me about a project you're proud of."
127 wordsIn my applied criminology capstone, my team analyzed where registered sex offenders live across New York State using registry and Census data. My job was making the data usable. I audited hundreds of records, fixed mismatches, set a simple four-step cleaning checklist, and kept a change log so anyone could follow our process. I also checked ethical considerations with my professor and limited sensitive details. The result was a clean, consistent dataset our team, and other teams, could trust. I was invited to help two groups apply the same standards. The project strengthened my decision-making, documentation, and communication, all skills I'll bring to a crime analyst role where accuracy, transparency, and impact matter.
Why it lands: spoken aloud this is about 45 seconds, which is right: long enough to be substantial, short enough that the interviewer can follow up. "My job was making the data usable" is the whole story in six words, and it arrives second.
The résumé bullet
Impact-first, one line, no adjectives.
1 line- Cleaned and documented multi-source datasets (NYS Registry + ACS) for capstone analysis; created a 4-step workflow and change log adopted by 2 additional teams, improving class-wide data quality and reproducibility.
Why it lands: two numbers a reader can check: a 4-step workflow, adopted by 2 teams. Nothing here says "detail-oriented" or "hard-working"; the evidence does that work instead. Note that the ethical dimension is dropped: a résumé bullet can only carry one idea.
The portfolio / LinkedIn caption
Skills-tagged, scannable, findable.
ShortSenior seminar project linking registry and community data across NY counties. Led data quality workflow and documentation; supported two teams in adoption.
Skills
- Critical thinking & inquiry
- Professional responsibility
- Ethical practice
- Tech fluency
- Collaboration
- Purposeful communication
Why it lands: two sentences of context, then explicit skill tags. On a platform where people skim and recruiters search, the tags are the point. This is the one format where naming the skill outright beats demonstrating it.
The full micro-narrative
For a reflection assignment, a scholarship essay, or a longer conversation.
5 paragraphsIn a senior seminar focused on applied criminology, our class took on a semester-long project to investigate the kinds of communities where registered sex offenders live. We used publicly available community and sex offender registry data for New York State. The class was organized into small teams, each assigned to a specific region of the state. One component of the project involved collecting and examining data across multiple counties, specifically regarding individuals on the sex offender registry.
My role for this part of the project was to help clean and organize the data, ensuring that entries were accurate, consistent, and could be used for meaningful analysis and reporting. This meant identifying errors, correcting inconsistencies, and making decisions about what information was relevant and reliable.
I reviewed each dataset, checking hundreds of entries for duplications, formatting errors, and inconsistencies. I had to decide what information was important, flag inaccuracies, and document the changes I made. With guidance from my professor, I made data-informed decisions and worked through some of the practical and ethical challenges of using sensitive information in meaningful ways.
My work helped ensure the data was accurate, consistent, and usable, not just for our class project, but as a model for others. Because of the quality and clarity of my process, I was asked to help other teams in the course apply the same standards to their datasets.
This experience is preparing me for the kind of work I want to do as a crime analyst. I'm learning how to manage complex datasets, make informed decisions about accuracy and relevance, and communicate those decisions clearly. More than that, I'm seeing how technical tasks like data cleaning connect to bigger questions of justice and impact, and I feel more confident stepping into a role where precision, ethics, and real-world application all matter.
Why it lands: the only format with room for the ethical thinking, and it uses it. "I'm learning" and "I'm seeing," in present tense, are honest about development still in progress, which is more credible from a student than claiming mastery.
One Core, four jobs
The four pieces above are not four stories. They're one Story Core, cut to fit four different situations, and comparing them side by side is the fastest way to learn what each format is for.
- Length is a decision, not an accident.
- 127 words for speaking, one line for scanning, two sentences for a feed, five paragraphs for reading. Rowan chose the length first, then chose what fit.
- Each format keeps a different thing.
- The résumé bullet keeps the numbers. The caption keeps the skill names. The interview answer keeps the arc. The micro-narrative keeps the ethics. Nothing is in all four.
- The unglamorous detail became the whole story.
- "Cleaning data" sounds like nothing. Rowan's Story Core surfaced what was actually inside it: judgment, ethics, documentation, informal leadership. Every one of the four formats is built on that, not on the project's topic.
- The evidence statements did the heavy lifting.
- Those three quoted statements in the Skills in Action stage are where the specific, checkable language came from. Write them once, reuse them everywhere.
- None of it required new material.
- Every fact in part two appears somewhere in part one. That's the whole promise of a Story Core: build it once, and you're never starting from a blank page again.
Read the others
All four of Rowan's formats came out of a Story Core that already existed. The other stories in this set show the same process from different angles: