david_morales.ipynb
whoami

juan david morales galindo · spain · est. dec 2025 on github

DavidMorales

Data Science & AI student in Spain. I turn messy data into working products — from autonomous customer agents and attendance forecasting to safe medical-imaging flows.

If you can imagine it, you can create it.

state
open to work opportunities
focus
AI agents · applied data products
goal
research collaborations · hard problems with good data
nb.load("openroute")  # featured
projects.list()
● live

Chispy · Platanus Build Night

An autonomous customer-retention agent that finds revenue at risk, chooses who to contact and carries the conversation through WhatsApp.

Next.jsClaudeTwilioRFMElevenLabs
● live

FreeTicket · Attendance Forecasting

Forecasts how many ticket holders will actually attend each show, quantifies uncertainty and recommends actions for underfilled events.

Pythonpandasscikit-learnAgent Skill
hackathon

Colsubsidio · Hyperpersonalised Credit

Turns behavioural and socioeconomic signals into an explainable recommendation: the right credit product, moment, channel and message.

Next.jsTypeScriptExplainable AISynthetic data
private

IDONIA · Picos de Europa

Moves medical images across regional borders, humanises the report with AI and delivers everything to patient and doctor through a secure QR and PIN.

Next.jsIdonia APIRecogDICOMPrivacy by design
2026private repository
private

X-ray De-identification

Detects and removes patient data burned into radiographs, then runs a second verification layer to catch residual leaks.

PythonYOLO11EasyOCROpenCVGradio
2026private repository
● live

UMH Gastronomy Contest

Real-time voting for a university gastronomy contest: country management, live ballots and a results dashboard.

JavaScriptPythonVercel
log.tail(8)
  1. [ship]FreeTicket attendance forecaster shipped as a live dashboard and an installable agent skill
  2. [ship]Chispy shipped at Platanus Build Night — an agent that finds revenue at risk and acts through WhatsApp
  3. [ship]Colsubsidio × 30X prototype shipped — explainable, hyperpersonalised credit recommendations
  4. [ship]x-ray de-identification pipeline completed with leak verification and privacy-safe audit logs
  5. [ship]IDONIA end-to-end medical-image transfer and humanised-report flow completed against the real APIs
  6. [award]▲ OpenRoute takes 3rd place at the Responsible & Open AI in Industry Challenge (SEDIA)
  7. [ship]real-time voting system shipped for UMH's gastronomy contest
  8. [note]hello, world — first public commit. building in public from day one

─── stream continues on github ↗

github.stats("juandmg020407")
145
contributions · last 12 mo
8
projects shipped
6
hackathons
1
podium finish

# commit activity — last 6 months

decjanfebmaraprmayjun
lessmore

# language mix, by bytes shipped

typescript44.4%
python37.9%
html5.9%
css3.9%
javascript3.4%
rust1.7%

source: github snapshot · captured 2026-06-09

now()  # 2026-08-11
  • Studying Data Science & AI — the mathematics and the engineering, in equal measure.
  • Building data and AI products through real challenges: autonomous agents, attendance forecasting and safe medical imaging.
  • Interested in research collaborations and hard problems with good data.
  • Open to work opportunities with teams that value experimentation, ownership and shipping.

last updated · 2026-08-11

contact()

Building something interesting, looking for a hands-on data and AI builder, or just want to swap big ideas? Say hi — I read everything.