← Portfolio · Strategy & Analytics
Building systems that support decisions
I work at the intersection of program strategy, analytics, research, and learning design. My focus is on the systems behind effective programs: credible evidence, usable workflows, clear communication, and an experience people can navigate.
Three connected areas of work
01 · Analytical systems
From records to evidence
Define measures, reconcile source systems, identify missingness, and build reporting that can support an accountable decision rather than simply display activity.
02 · Portfolio and operations
From activities to systems
Coordinate stakeholders, establish quality standards, maintain partnerships, and connect delivery workflows to performance data and program priorities.
03 · Learning systems
From expertise to practice
Build instructional architectures that connect objectives, content, assessment, facilitator guidance, accessibility, and the systems needed to maintain quality.
A simplified view of my analytical workflow—not a reproduction of confidential organizational systems.
- 01 · DEFINEDecision and measuresIdentify the question, stakeholders, measures, and limits.
- 02 · RECONCILESources and qualityAlign definitions, check coverage, and document missingness.
- 03 · ANALYZEModels and scenariosTest assumptions, compare options, and examine sensitivity.
- 04 · COMMUNICATEEvidence and actionPresent findings, uncertainty, ownership, and next steps.
Illustrative methodology; no confidential data or performance results are depicted.
Selected evidence
Figures refer to their respective programs and reporting periods; they are not combined into a single claim of reach.
Year-over-year growth in Hostos CEWD Symplicity engagement
Employer partnerships I cultivated for CEWD
Additional employer partnerships reported in Career Services
Evidence in practice
Three projects illustrate how I approach complex data, organizational needs, and practical implementation. The descriptions focus on my methods and contributions; member records, institution-specific performance results, and proprietary models remain private.
Enterprise intelligence · Longitudinal analytics · Workflow automation
Turning five years of engagement data into a repeatable decision system
I built an automated analysis framework for a professional association using a five-year source extract approaching one million rows. The system integrated engagement history with membership data and publicly available labor-market references, including O*NET and U.S. Bureau of Labor Statistics classifications. I also connected the source data to Microsoft Power BI and developed interactive analytical views for an executive vice president and their team. It supported comparisons by organization, industry, time period, and occupational title, as well as longitudinal measures of participation, repeat engagement, and retention.
Rather than deliver a static report, I designed a repeatable reporting system. Colleagues could change only a few clearly identified inputs—such as the reporting period, comparison group, or audience—and refresh an interconnected dashboard, analytical breakdowns, and action-oriented outputs. The model linked participation patterns to comparative benchmarks, supported transparent opportunity prioritization, and generated outreach drafts for staff to review and adapt rather than send automatically.
Engineering under constraint. The workbook needed to remain usable on machines that could not efficiently recalculate a model of this size. I documented a controlled, sheet-by-sheet refresh process, used manual calculation to prevent unnecessary full-workbook recomputation, and designed the operating workflow for Excel in the browser. The point was not simply to process a large dataset myself, but to make its reporting and decision support repeatable for colleagues with fewer computing resources.
This is a description of my methods, not a reproduction of the private workbook. Organizational results, underlying records, and the original prioritization and outreach logic are not published.
Enterprise learning · Performance reporting
Learning leaderboard
I built a learning leaderboard for enterprise members, translating training participation into a more accessible comparative reporting view. The work connected measurement, presentation, and usability so program stakeholders could interpret learning activity and identify where follow-up could be useful.
Skills strategy · Research translation
Capability-aligned skills assessment
I enhanced an existing skills-and-needs assessment to align its questions and categories with a revised marketing capability framework. That framework drew on qualitative executive interviews and quantitative research, including approximately 130 marketing-leader survey responses. My work translated the new structure into a more usable diagnostic instrument and supported clearer connections between identified needs and learning opportunities.
Read the engagement measurement case study → Read the million-row analytics case study →
Reporting designed for leadership decisions
I have developed other analytical and operational reporting systems now used across departments to communicate findings to senior leadership and inform organizational decisions. Those projects extend the same approach: clarify the question, connect and test source data, make comparisons interpretable, and give decision-makers a concise account of evidence, limitations, and next actions. The institutional datasets and executive reports are not public portfolio materials.
What the process looks like
The method changes with the project, but I return to four questions: What decision needs to be made? What evidence can answer it? What operational constraints shape implementation? How will we know whether the change worked?
- Frame: establish the question, audience, decision owner, and usable output.
- Design: identify evidence, interfaces, roles, and measurable expectations.
- Implement: create repeatable workflows, accessible materials, and checks for quality.
- Evaluate: compare results with the intended decision, and revise what no longer serves it.
Questions about the work
What roles does this experience support?
Program and portfolio leadership, curriculum and learning strategy, analytics and evaluation, research operations, stakeholder engagement, and cross-functional process design.
Are there working examples?
Yes. The portfolio brings together case studies and accessible demonstrations; the tools collection offers decision models, research tools, and learning resources that can be used in a browser or downloaded where available.
How do you handle restricted organizational data?
I describe methods and my contributions without publishing confidential records. Public examples use documented aggregate results, appropriately de-identified material, or synthetic and open datasets.
Interested in collaborating or discussing an opportunity? Get in touch →