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jdgomezza/README.md

Hi, I’m Juan David Gómez 👋

Business/Data Analyst · Python & Power BI · LLM Evaluation
I build lean, reproducible data workflows: retrieve → clean → store → analyze → visualize.
Open to remote roles worldwide.

Featured project

🇪🇺 AI at Work — Eurobarometer 2024

Mini-analysis of Eurobarometer 101.4 (2024) on AI in the workplace:

  • Employer awareness of AI
  • Use of AI for performance/sanctions
  • Perception that AI improves safety

Stack: Python · Pandas · Matplotlib · Jupyter · Power BI
Repo: jdgomezza/ai-at-work-eurobarometer-2024
Dashboard (.pbix): powerbi/ai-at-work.pbix • README section

Power BI overview page screenshot

Outputs included: stacked bar charts + country highlights CSV (output/highlights.csv) and a Power BI overview.

Stack

Python · Pandas · NumPy · Jupyter · Matplotlib · SQL · SQLite · Power BI

What I focus on

  • End-to-end data workflows with clean structure and docs
  • Publication-ready charts that tell a clear story
  • Lightweight LLM evaluation tooling (QA rubrics, consistency checks)

Now

  • New: Eurobarometer “AI at Work” analysis (see Featured project).
  • Completed a mini capstone: job-posting snapshot → simple ETL (JSON → SQLite → CSV → Matplotlib).
  • Leveling up with hands-on SQL, NumPy, and Pandas.

Repositories (status)

  • ai-at-work-eurobarometer-2024 (completed) — survey analysis • stacked charts • Power BI overview
  • job-skills-mini (completed) — JSON → SQL → CSV → chart
  • market-pricing-monitor (coming soon) — price ingestion → SQLite → weekly deltas & anomaly flags
  • llm-eval-mini (coming soon) — prompt sets, rubric scoring, simple metrics

How I work

  • Small, composable scripts and notebooks:
    01_retrieve.py → 02_clean_store.py → 03_analyze.py → 04_visualize.py
  • Reproducibility first: requirements.txt, deterministic outputs, clear READMEs
  • SQLite for persistence; Matplotlib/Power BI for final figures

Contact

Popular repositories Loading

  1. jdgomezza jdgomezza Public

    Data-oriented Business Analyst. I build Python/SQL pipelines end to end: retrieve → clean → store (SQLite) → analyze (Pandas) → visualize (Matplotlib). Reproducible code, clear READMEs, publication…

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  2. job-skills-mini job-skills-mini Public

    Mini project: snapshot of skills in remote jobs (raw JSON → SQLite → CSV → chart)

    Python

  3. ai-at-work-eurobarometer-2024 ai-at-work-eurobarometer-2024 Public

    Eurobarometer 2024 — AI at Work: awareness, use for performance/sanctions, and safety perception by country. Python (Pandas/Matplotlib) + Power BI dashboard.