Data, Research & Learning Systems Portfolio
Analytics · Research · Curriculum · Data Governance · Digital Humanities
I build systems that turn complex information into usable decisions: analytical models, research designs, learning portfolios, data-governance structures, and digital research tools.
This portfolio combines reproducible code, Excel and Google Sheets models, executive research communication, and reusable models of professional methods. Projects derived from organizational work use synthetic, de-identified, public-domain, or openly documented data rather than confidential source material.
Choose the evidence you need
Analytics & Decision Support
Portfolio Decision Engine
Combines demand, utilization, outcomes, lifecycle, data quality, audience coverage, strategic gaps, and redundancy into transparent portfolio recommendations.
Proof point: 24 synthetic products → Scale · Maintain · Refresh · Consolidate, plus 6 development opportunities.
Learning & Curriculum Analytics Dashboard
Formula-driven engagement, utilization, topic-demand, lifecycle, and development-priority analysis.
Proof point: 80 learners · 12 organizations · 18 products.
AI Training & L&D Segmentation
Multi-table matching and organization/contact rollups converted into campaign-ready audience cohorts.
Proof point: 30 synthetic organizations segmented into expansion, sponsorship, introduction, and nurture audiences.
Learning Analytics Portfolio
Reproducible engagement analysis with KPI design, conversion analysis, quarterly trends, and topic segmentation.
Proof point: 81.2% registration-to-attendance conversion in the synthetic sample.
Research & Evaluation
Learning Experiment & Statistical Analysis
Blocked randomized A/B design with balance checks, transparent exclusions, confidence intervals, effect size, and subgroup analysis.
Proof point: 234 analyzed · +5.01-point gain · Cohen’s d = 0.95.
Survey Research & Learning Transfer Analysis
Instrument design, response QA, scale construction, Cronbach’s alpha, cross-tabs, OLS modeling, and executive research communication.
Proof point: 310 analyzed · Transfer Readiness α=.852 · model R²=.387.
Stevenson Text Analysis
Public-domain corpus provenance, text cleaning, tokenization, lexical comparison, and exploratory keyword analysis.
Proof point: Public-domain corpus provenance, reproducible pipeline, research annotations, TEI modeling, and automated validation.
Curriculum & Learning Systems
Curriculum Portfolio Analytics
Taxonomy design, demand and utilization signals, lifecycle status, refresh logic, and development priorities.
Proof point: 18 synthetic learning products across 8 topics and 5 formats.
Portfolio Decision Engine
Shows how curriculum and learning signals can be governed through explicit, editable weights and thresholds rather than opaque judgment.
Proof point: Decision rules are inspectable and scenario-ready.
Learning Transfer Research
Extends curriculum analytics into evaluation: relevance, manager support, practice opportunity, confidence, and 30-day application.
Proof point: Executive research memo translates statistical findings into program recommendations.
Data Quality, Governance & Digital Research Systems
Data Quality & Taxonomy Governance
Messy source data normalized through alias mapping, controlled taxonomies, QA exceptions, severity logic, and publish gates.
Proof point: 180 synthetic raw records · 87.2% QA pass rate · 23 routed for review.
The Making and Knowing Project
Textual analysis, UI/UX research, collaborative design, and recommendations for a digital critical edition at Columbia.
Proof point: Design proposal + live digital edition.
Stevenson Text Analysis
Source provenance and automated validation demonstrate a lightweight reproducible workflow for textual research.
Proof point: Public corpus, documented source manifest, automated validation.
Applied work & professional evidence
The technical portfolio is complemented by documented professional work: curriculum systems, research teaching, workforce operations, public-facing resources, conference programming, and recognition.
Adult ESOL Learning System
Curriculum, instructor onboarding, professional development, assessment, staffing, and multi-site adult education operations.
Research Writing, Methods & Quantitative Reasoning
Research design, evidence evaluation, statistics, SPSS, IRB concepts, revision, and individualized instruction.
Data-Informed Workforce Development at Hostos
Employer partnerships, participant support, CRM data, outreach, reporting, and workflow design treated as one operating system.
57-Page Career Readiness Guide
A public, fillable resource connecting Grow with Google learning paths, NACE competencies, reflection, advising, résumés, interviewing, and career portfolios.
Browse conferences & events → · Browse recognition → · Explore visual work →
Applied Learning & Program Systems
These case studies show the same systems approach in live educational and workforce settings: curriculum, people, operations, assessment, data, and participant experience working together.
Data-Informed Workforce Development at Hostos
Connects employer partnerships, participant support, outreach, CRM/data quality, reporting, and service-delivery workflows.
Proof points: 90+ employer relationships · 260+ placements · 4,800+ contacts · 363% platform-engagement growth.
Adult ESOL Learning System at Columbia
Curriculum development, instructor onboarding, professional development, assessment, staffing, and multi-site program operations.
Proof points: five primary sites · roughly 85–110 instructors per cycle · 329+ page Level 6 textbook across 40 lessons.
Parent & Caregiver ESOL Curriculum
Student textbook materials, teacher guidance, assessment, digital literacy, mixed-level scaffolding, and flexible delivery designed as one adult-learning system.
Proof points: ten-module project plan · 23-activity teacher sequence · learner, instructor, and administrator layers.
Research Writing & Quantitative Reasoning at Johns Hopkins CTY
Research design, evidence evaluation, statistics, SPSS, human-subjects concepts, revision, and publication-oriented support.
Robotics Product Development to Technical Certification
Connects bilingual robotics instruction, biomedical-sensor product development, technical certification, and competency-based assessment design.
Applied Technical Demonstrations
These projects show how I translate instructional and program-evaluation questions into practical, inspectable technical workflows. Each pairs a clear decision problem with working code, transparent logic, and reproducible methods.
Standards Check: Reteach Grouping Tool
Turns standards-level assessment results into actionable reteach groups, organizing learners by the specific standard needing attention rather than by aggregate score.
Evidence: runnable JavaScript implementation · adjustable mastery logic · standards-level grouping · browser-based delivery.
Tutoring Growth Analysis in R
Models pre/post growth while accounting for repeated observations and class structure, using mixed-effects analysis, confidence intervals, and reproducible reporting.
Evidence: reproducible R script · tidyverse · lme4 · broom.mixed · synthetic-data generation.
Methods demonstrated across the portfolio
Analytics: Excel modeling, formula-driven dashboards, Python, KPI design, segmentation, utilization, conversion, prioritization, scenario analysis.
Research: experimental design, survey design, data cleaning, sampling and fielding, balance checks, confidence intervals, effect sizes, scale reliability, cross-tabs, regression, research briefs.
Learning systems: curriculum taxonomy, product lifecycle, demand analysis, refresh logic, portfolio architecture, learning-transfer evaluation.
Governance and research systems: controlled vocabularies, source normalization, QA exceptions, data-management planning, reproducibility, digital humanities, UI/UX research.
Need a specific kind of work sample?
Additional workbook views, research memos, methodological notes, and related examples are available for relevant roles and collaborations.