Map before building
Clarify the goal, friction, ownership, and required states before automating.
Systems coming online
Initializing interface

MARKETING AUTOMATION SPECIALIST
I build practical CRM systems for follow-up, booking, onboarding, retention, and reactivation.
About the work
I focus on the operating path behind a customer journey: what the CRM should record, who owns the next step, and whether the system can be tested and understood later. The portfolio documents that work through practical CRM builds, workflow logic, and visible implementation decisions.
I continue to strengthen this practice through readable CRM structure, deliberate workflow logic, sample-record QA, and documentation that keeps ownership, handoff, and system state visible and easier to inspect.
The work behind the title
A form, calendar, pipeline, or workflow is only one part of the experience. I am interested in how the pieces connect, what the CRM records, when a person steps in, and what happens next.
The small decisions matter: a useful field, a safer exception path, or a clearer handoff can give the next person enough context to act.
I started by making interfaces and next actions easier to understand.
That focus expanded to the systems and human handoffs behind each submission.
My current work centres on CRM implementation, workflow QA, and inspectable evidence.
Working principles
Good automation should make follow-up easier to manage, test, and improve.
Clarify the goal, friction, ownership, and required states before automating.
Use readable stages, names, and conditions that another person can maintain.
Test normal, exception, timing, and handoff paths with sample records.
Record intent, ownership, handoffs, limits, and the next improvements.
Practice and proof.
Training strengthens the planning, analysis, and communication behind the practice. It supports—but does not replace—the implementation evidence shown in the portfolio.
Verified professional development
Explore each program to see the completed learning path, its connection to the work, and public verification.
Salesforce / Coursera2026
Practice connection
Supports pipeline structure, sales-process visibility, lifecycle status, and operational handoff thinking across CRM implementation work and portfolio builds.
Verify Salesforce Sales Operations certificateLearning path
4 verified course certificatesGoogle / Coursera2026
Practice connection
Supports planning, sequencing, documentation, and disciplined handoff decisions across multi-step CRM and workflow implementations in portfolio builds.
Verify Google Project Management certificateLearning path
7 verified course certificatesGoogle / Coursera2026
Practice connection
Supports measurement thinking, reporting context, and operational visibility when evaluating how a system should be monitored and improved.
Verify Google Business Intelligence certificateLearning path
4 verified course certificatesGoogle / Coursera2026
Practice connection
Supports responsible AI-assisted planning, structured analysis, and documentation during scoped workflow work without replacing implementation judgment or evidence.
Verify Google AI certificateLearning path
7 verified course certificatesGoogle / Coursera2026
Practice connection
Supports security-aware decisions around access, permissions, data handling, risk, incident detection, and safer automation operations.
Verify Google Cybersecurity certificateLearning path
9 verified course certificatesGoogle / Coursera2026
Practice connection
Supports user-journey discovery, interface clarity, research, prototyping, and testing so workflow touchpoints are easier to understand and use.
Verify Google UX Design certificateLearning path
8 verified course certificatesGoogle / Coursera2026
Practice connection
Supports responsible day-to-day AI use, productivity, prompt fundamentals, and deliberate evaluation of AI-assisted work.
Verify Google AI Essentials specializationLearning path
5 verified course certificatesVanderbilt University / Coursera2026
Practice connection
Supports structured prompt design, advanced data analysis, and trustworthy use of generative AI in research, planning, and automation work.
Verify Prompt Engineering specializationLearning path
3 verified course certificates