A personal portfolio page based on a GitHub profile README, presenting a data analyst positioning
juliocezarcarneiro — HTML Admin dashboard Template
By juliocezarcarneiro
A personal portfolio page template for Julio Carneiro, showcasing a data analyst's projects, tools, and skills, with content drawn from his GitHub profile README.
Explore the design
Compare the page layouts and mobile experience. Open any screenshot for a closer look.
Actual screenshot captured by the server browser.
All pages & views 2
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What stands out
A quick read of the recorded project description.
Featured Projects lists two projects: Operations Profitability & Cost Optimization and CFO Executive Dashboard
The Tools section introduces the Data Cleaning Framework, a reusable Python framework for data cleaning and validation
Skills lists SQL, Python (pandas, matplotlib), Tableau, Data Studio, plus data cleaning, validation, ETL, and dashboard development
The LinkedIn and Email links in the Contact section remain placeholders in the README
Template Details
This template corresponds to Julio Carneiro's GitHub profile (juliocezarcarneiro/juliocezarcarneiro). The README positions him as a data analyst, with skills listed as SQL, Python (pandas, matplotlib), Tableau, and Data Studio, and a focus on profitability, cost optimization, and business performance analysis. The page content is divided into a personal introduction, Featured Projects, Tools, Skills, and Contact sections: Featured Projects lists two projects, Operations Profitability & Cost Optimization (SQL, Python, Tableau, used to identify profit-loss drivers and cost inefficiencies across locations and product categories) and CFO Executive Dashboard (Tableau, Data Studio, used to monitor revenue, cost, and profitability KPIs); the Tools section presents the Data Cleaning Framework, described as a reusable Python framework for cleaning, validating, and preparing datasets. The README does not provide a page framework, build tools, dependency list, or deployment method, nor does it explain installation and running steps for the template; the LinkedIn and Email links in the Contact section remain placeholders in the README (your-link, [email protected]), with no real addresses filled in.
Is it right for your project?
Use Cases
- Showcasing a data analyst's project experience and skill set
- Serving as an entry page for a personal GitHub profile, linking to specific project repositories and dashboards
- Describing work related to data cleaning, cost optimization, and profitability analysis
Suitable For
- Data analysts or data practitioners building a personal portfolio page
- A personal homepage that needs to showcase SQL, Python, and Tableau-related projects and skills
- Users who want to generate a concise personal introduction page based on README content
Getting started & customization
Use these recorded setup notes alongside the repository instructions for your chosen version.
- 1
The README does not provide a page framework, build tools, or dependency list, so specific installation and running steps cannot be given from it
- 2
The README does not explain the deployment method; refer to the repository's actual configuration
- 3
The LinkedIn and Email in the Contact section are placeholders in the README and must be replaced with real information before use
License & source material
Usage conditions & limitations
Free to use · keep license noticeThis entry covers the free version under the MIT license in the public repository; the free scope is the code of that version and does not mean external services or third-party assets are free.
Must comply with when using
- Free use, modification, commercial use, and distribution of this version's code are permitted.
- When distributing copies or substantial portions of the code, retain the original author's copyright notice and the full MIT license notice.
- The code is provided as is; warranties and liability limitations are governed by the original license and applicable law.
Additional costs & items to verify
- Demo images, fonts, icons, and other third-party assets must be checked against their respective licenses; they cannot be judged solely by the code's MIT license.
- External services such as domains, hosting, databases, payments, or AI may incur separate charges.
View Original Text Basis
https://github.com/juliocezarcarneiro/juliocezarcarneiro/blob/main/LICENSEhttps://github.com/juliocezarcarneiro/juliocezarcarneiro/blob/main/README.mdPermission is hereby granted, free of charge
Original License Text
Compiled by DeepSeek based on repository license and README ·2026-10-14. Results only cover the materials read; dependencies, images, fonts, and subsequent term changes are subject to their respective original texts.
Project checks & description sources
Template Information
- Source platforms
- GitHub
- Documentation and maintenance reference score
- More documented · 83 / 100
- Technologies
- HTML
- Website type
- Admin dashboard
How this score is calculated
Our heuristic uses license records (up to 30), a demo link (12), a preview (10), stars (15), recorded maintenance (15), description completeness (8), feature records (5) and classification data (5). It is not a code, security or performance test, or a Google score. A link does not establish tested functionality.
What to verify for this project
- Repository update recorded
- 2026-06-15
- Screenshot last checked
- 2026-10-14
A demo link is listed. Check it with your own content and viewport sizes; its presence does not confirm that forms, authentication or payments work.
The catalog identifies HTML as the primary stack. Check the actual dependency manifest and lockfile for versions and hosting requirements. These notes use recorded metadata, not a code audit or a deployment test.
Use a selection guide →How this description was prepared
AI-assisted description based on catalog records and repository material. Repository authors are not automatically the reviewers of this description.
Review declaration: codex-user-requested-batch-review-20261015 · 2026-10-15
Inspect the recorded source material
SHA-256: 336312c161c2f2dafbed522114f5a48f815449528f7d487f84d63fedd2957816
2026-10-14T11:55:13.221Z
Source file / repository# Julio Carneiro **Data Analyst | SQL • Python • Tableau** Focused on profitability, cost optimization, and business performance I analyze business performance to identify profitability drivers and cost inefficiencies that impact results. --- ## Featured Projects ### Operations Profitability & Cost Optimization SQL • Python • Tableau Identified margin loss drivers and cost inefficiencies across locations and product categories. [](https://github.com/juliocezarcarneiro/operations-profitability-cost-optimization) --- ### CFO Executive Dashboard Tableau • Data Studio Built an executive dashboard to monitor revenue, cost, and profitability KPIs. [](https://datastudio.google.com/u/0/reporting/7edc9bf7-a093-4a6d-af91-8fd97fbd6e49/page/2vNtF) [](https://github.com/juliocezarcarneiro/cfo-executive-dashboard-techflow) --- ## Tools [](https://github.com/juliocezarcarneiro/data-cleaning-template) Reusable Python framework for cleaning, validating, and preparing datasets for analytics and reporting workflows. --- ## Skills SQL | Python (pandas, matplotlib) | Tableau | Data Studio Data Cleaning | Data Validation | ETL | Dashboard Development --- ## Contact [](https://linkedin.com/in/your-link) [](mailto:[email protected])
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