Experimentation & Optimization
A/B testing strategy, measurement planning, KPI development, experiment analysis, digital optimization, and statistical interpretation.
I help teams improve reporting, measure digital experiences, evaluate experiments, and turn operational or customer data into business-facing recommendations.
The homepage gives the positioning. The service page explains how to work together. The case studies show evidence. Experience and research give context without turning this into a generic portfolio.
Analytics audits, dashboard sprints, experimentation readouts, and practical AI workflow builds.
Go to consulting 02BI foundations, demand forecasting, ecommerce A/B testing, operations reporting, and applied AI workflow examples.
See the work 03Digital experimentation, operations analytics, KPI reporting, student consulting, and AI/NLP research roles.
Review backgroundMost projects fall into one of these buckets. The common thread is decision support: clean the signal, define the metric, analyze the movement, and make the next step clear.
Read the full service pageA/B testing strategy, measurement planning, KPI development, experiment analysis, digital optimization, and statistical interpretation.
Dashboard strategy, KPI reporting, analytics systems, business reporting, data storytelling, and decision support.
AI-assisted analysis, analytics automation, research workflows, reporting automation, and AI-enabled business processes.
Operations BI
Built reporting and automation around market operations, ZIP-code coverage, and daily order volume so planning teams could see operational movement more clearly.
Read experienceExperimentation
Cleaned experiment data, validated control/treatment setup, compared conversion behavior, and translated the analysis into a business interpretation.
Open case studiesApplied AI
Built persona-based interview simulation and transcript comparison workflows that support research without removing human judgment.
View researchThese names reflect roles, internships, student consulting, competitions, and projects. They do not imply endorsement or that each organization hired the consulting practice.
I am a Northern Illinois University graduate with a background in Operations & Information Management and Computer Science. My work combines business intelligence, analytics engineering, digital experimentation, operational reporting, supply chain analytics, and applied AI research.
That mix matters because most teams do not only need a dashboard. They need someone who can understand the decision, clean up the data path, define the metrics, validate the analysis, and explain the recommendation in plain business language.
Send a short note about the decision you are trying to support, the data you have, and what your team is currently doing manually.