Junior Data Analyst Path
Building public evidence through data cleaning, SQL/Python practice, dashboards, and small decision-support tools.
A personal portfolio of shipped projects, AI agent workflows, Hermes-powered automation, technical practice, and career-focused data work β built to show execution, learning velocity, and real-world problem solving.
The site is updated as projects mature: shipped apps, active prototypes, technical notes, certifications, and practical systems that turn learning into visible work.
Building public evidence through data cleaning, SQL/Python practice, dashboards, and small decision-support tools.
A practical 2026 certification track focused on cloud fundamentals, IAM/security, deployment basics, and portfolio proof.
A growing credential track that will document completed certifications, study notes, labs, and verified technical milestones.
Building practical systems with AI agents that can inspect files, use tools, update projects, schedule work, and verify results.
Each project is framed by the problem, the build, the technical choices, the current status, and what it demonstrates professionally.
A local operating system for projects, priorities, calendar planning, financial reminders, knowledge capture, and AI-assisted workflows powered by Hermes Agent.
Responsive fan-guide apps with focused user flows, multilingual copy, access-control decisions, live-update planning, and lightweight analytics/lead-capture experiments.
A rhythm-learning app concept for children ages 5β7 focused on clapping, left/right-hand patterns, and two-hand coordination.
A receipt-based analytics project to measure household grocery inflation using Walmart, Publix, and recurring grocery purchases over time.
A structured practice lane for data-cleaning reps, Python/SQL analysis, dashboards, and job-ready evidence built over time.
A location-specific home weather assistant that checks rain timing, hourly rainfall amount, temperature, and precipitation probability for the exact property area without exposing private coordinates publicly.
A daily technical AI briefing assistant that keeps Daniel current on relevant AI, agents, tooling, model releases, and practical trends.
This portfolio is built around practical agentic AI: tools that can take actions, inspect real files, coordinate tasks, remember procedures, and verify work instead of only generating text.
Hands-on use of Hermes Agent as a local, tool-using AI assistant for project work: editing files, checking repositories, deploying sites, managing recurring jobs, and maintaining reusable skills.
Daniel uses agentic workflows to move from idea to artifact: define scope, update the board, edit the product, test locally, deploy, and confirm the public URL with real evidence.
Recurring bots for home weather, precise rain alerts, technical AI news, and decision support β designed as practical agent workflows, not one-off demos.
Reusable procedures, project context, and operating rules are captured so future work becomes faster, more consistent, and easier to verify.
The site itself is proof: changes are scoped, edited, visually inspected, deployed, and checked on the live domain through an AI-assisted workflow.
These are not just portfolio ideas. They are practical nightly bots designed to deliver useful, specific information automatically β weather risk for home operations and technical AI awareness for professional growth.
A nightly weather assistant for the exact home area: when rain is expected, how much may fall by hour, hourly temperature, and precipitation probability. The public portfolio describes the system while keeping private coordinates off the page.
A nightly technical briefing bot that keeps Daniel updated on AI engineering trends: agents, model releases, tooling, automation, data workflows, and practical changes worth tracking.
Both bots show recurring data collection, summarization, scheduling, filtering, and delivery β the kind of practical AI workflow that turns information into action.
The bots demonstrate Daniel's ability to design practical personal agents that run consistently, answer specific questions, and support decisions without manual checking.
Instead of only naming projects, this section gives visitors a phone-first visual sample of the experiences being described: an education prototype, a personal football dashboard, and a client-ready World Cup app offer.
Phone-first rhythm-learning prototype for children ages 5β7, focused on clapping, rhythm reading, left/right-hand patterns, and two-hand independence.
A Colombia-first command center for following the tournament from a phone: daily matches, results, groups, player stats, venue maps, and quick links.
A neutral, customizable World Cup mini-app offer for clients and fans, with multilingual copy, lightweight analytics, and upgrade/lead capture.
The through-line is practical clarity: explain the next step, reduce friction, make progress visible, and turn scattered information into usable systems.
Core lanes: data analysis, AI workflows, and secure web projects.
This portfolio is intentionally simple, fast, and production-hosted β with each new project added as a clearer proof point instead of a temporary experiment.
Deployed on Cloudflare Pages with a personal domain, automatic TLS, HTTP-to-HTTPS handling, and canonical www-to-apex redirects.
Static architecture, no mixed-content dependencies, restrictive security headers, responsive layout, and a repeatable project-entry format for future updates.
I am focused on junior data analyst opportunities, practical AI workflows, and projects where clear communication, structured problem solving, and shipping discipline matter.