Business Administration + Computer Information Systems Technology professional focused on analytics, workflow automation, business intelligence, and practical business systems.
I build projects that turn messy operations into cleaner data, clearer dashboards, follow-up queues, and reusable workflows. My strongest lane is the overlap between business operations, computer information systems, data analytics, and AI-enabled workflow automation.
Live portfolio: https://akannione.github.io/tobi-portfolio-hub/
- Data analytics and business intelligence with Python, SQL, Excel-ready outputs, and dashboard workflows
- Operations automation for reporting, CRM cleanup, outreach tracking, and recurring decision loops
- AI operations systems that filter noisy signals, create action queues, and turn research into experiments
- Solutions engineering demos that explain workflows clearly enough for non-technical stakeholders to act on
- Technical consulting assets for small-business reporting, CRM systems, and workflow improvement
| Project | What it shows | Stack / focus |
|---|---|---|
| Business Operations Reporting System | Cleans messy service-operations data, creates KPI fields, analyzes bottlenecks, and produces management-ready dashboards | Python, SQL, SQLite, Excel, dashboard reporting |
| CRM Sales Pipeline Automation System | Turns messy CRM lead data into a scored pipeline, follow-up queue, sales-rep performance views, and executive summary | Python, SQL, CRM analytics, sales operations |
| AI Signal Routine | Monitors AI/tooling signals, ranks what matters, generates decision briefs, and creates mini-project ideas | Python, Streamlit, automation, AI operations |
| Chiropractic Business OS MVP | Full-stack business operations demo for service-business reporting, customer tracking, and monthly summaries | React, TypeScript, MongoDB, business systems |
I care about business usefulness first. A good technical project should answer a practical question, reduce manual work, or make a decision easier. My projects usually start with a messy real-world process, then move toward a repeatable workflow with clear outputs and documentation.
I am especially interested in roles around:
- Data Analyst / BI Analyst
- Operations Analyst
- Analytics Engineering
- Automation Analyst
- AI Operations / AI Workflow Specialist
- Solutions Engineering or Technical Consulting
Python, SQL, SQLite, Excel, Streamlit, HTML/CSS/JavaScript, React, TypeScript, MongoDB, Git/GitHub, API workflows, dashboard/reporting systems, and AI-assisted development with Codex.
- Portfolio: https://akannione.github.io/tobi-portfolio-hub/
- LinkedIn: https://www.linkedin.com/in/tobi-oniyide/