Cleaner CRM data
A practical plan for turning scattered records into a system the team can trust.
CRM, sales process, enablement, AI workflows, dashboards, and field adoption — built for cleaner data, clearer handoffs, and tools people actually use.
A few simple signals that show the kind of work I have done and the scale I have worked around.
I am strongest where the work is messy, cross-functional, and close to how revenue teams operate every day.
CRM structure, pipeline stages, handoffs, dashboards, data hygiene, and operating routines.
Prompt standards, meeting prep, follow-up, lead routing, and manager visibility.
Training, playbooks, manager routines, support hubs, and field feedback loops.
Turning inboxes, CRM records, notes, and relationship history into usable systems.
Pick the problem closest to what you are hiring for. This shows where I would start, what I would build first, what I would measure, and why my background fits.
A practical plan for turning scattered records into a system the team can trust.
No long story. Just the problem, what I did, and what changed.
Large sales team moving into a new Salesforce environment with new process, new routines, and adoption risk.
In-person and virtual training, playbooks, manager routines, dashboards, and field support.
Successful rollout and sustainment across 400+ sellers.
Leaders needed practical AI workflows tied to real sales work, not scattered experiments.
Defined use cases, prompt standards, guardrails, feedback loops, and Salesforce-connected workflow needs.
Practical workflows for prep, follow-up, prioritization, retention, manager visibility, and daily execution.
Years of useful relationship history lived in Gmail, but there was no working CRM to manage it.
Built a HubSpot CRM from scratch, cleaned contacts and companies, removed duplicates, and organized notes and opportunities.
Turned old email history into a usable system for relationship tracking, follow-up, and pipeline.
I fit roles where the company needs someone who can sit between leadership, sales, operations, data, product, and the field — then turn messy work into a clear operating rhythm.
Owning the process, CRM structure, dashboards, stage discipline, handoffs, and operating cadence behind a revenue team.
Building the training, playbooks, manager routines, and support needed to make process and technology stick.
Taking practical AI ideas from rough concept to usable workflows with guardrails, testing, and field feedback.
Cleaning up messy data, building usable CRM workflows, and creating reporting that helps people act.
I know how to take scattered information, unclear process, and uneven adoption and turn it into a working revenue system. I am hands-on, comfortable with ambiguity, and strong at the point where business needs become tools, workflows, training, and reporting.