ampofo.dev

Data, analytics, and applied AI

Jeremy Ampofo builds practical data and AI systems.

I turn messy operational questions into clear analysis, reliable data workflows, and AI-assisted tools that make teams faster without losing human judgment.

View analyst workView AI work

Current focus

  • Analytics: SQL, dashboards, stakeholder questions, and decision support.
  • Data engineering: clean pipelines, validation, data modeling, and reliability.
  • Applied AI: tool-using agents, workflow automation, and supervised generation.

3 projects

Data Analyst

Decision support, stakeholder-ready dashboards, SQL analysis, and crisp business storytelling.

1 projects

Data Scientist

Modeling, experimentation, product analysis, and practical ML systems grounded in measurable outcomes.

3 projects

Data Engineer

Reliable pipelines, analytics engineering, data quality, and production data workflows.

3 projects

AI Agent Builder

Applied AI systems, tool-using agents, retrieval workflows, evaluation loops, and human-in-the-loop automation.

Selected work

A few projects that show how I think

Next.jsPostgresAI agentsWorkflow design

AI-Assisted Recruiting Workflow

A personal workflow for tailoring portfolio evidence, organizing applications, and keeping recruiter follow-up grounded in the right context.

  • Connects each opportunity to the most relevant projects, resume version, and role narrative.
  • Keeps application context organized so follow-up can be specific instead of generic.
  • Uses supervised AI drafting for recruiter communication and portfolio tailoring.
See on GitHub
Power BIPower QueryValidationControls

Payment Validation and Reporting Controls

A reporting workflow focused on defensible payment calculations, source-year clarity, and accounting controls for high-stakes public program data.

  • Separated calculation logic from visible validation checks.
  • Built guardrails around cap-safe payment totals.
  • Improved traceability between source files, reporting years, and displayed metrics.
See on GitHub
Realtime AITranscriptionProduct analyticsFollow-up

Meeting Intelligence for HerdSense

A product workflow for capturing meetings, extracting action items, and carrying context forward into operational follow-up.

  • Structured noisy meeting inputs into action-oriented summaries.
  • Designed for internal workflows instead of generic note taking.
  • Connects transcript understanding with next-step execution.
See on GitHub
GmailAutomationClassificationWorkflow design

Job Application Signal Tracker

A Gmail-backed workflow that distinguishes real application status changes from recruiter-platform alert noise.

  • Tracks confirmations, views, rejections, recruiter replies, and interview signals.
  • Filters low-signal recommendation alerts from LinkedIn and ZipRecruiter.
  • Keeps a durable tracker current without overwriting context.
See on GitHub