- 🔥 I usually write applications in Python, R and Julia.
- 🌐 I also develop dashboards using Shiny, HTML, CSS and JavaScript.
- ✉️ You can reach me on jespasareig(add)gmail(dot)com...
- 🔗 Or connect with me on:
🗄️ Packages, publications and other things
- {lissyrtools}: An R package for computing inequality estimates in the LIS Data Center LISSY environment.
- Julia as a software for Official Statistics and Social Sciences: Talk at the 2023 NTTS conference in Brussels.
- Inequality.jl: A Julia package for computing inequality indicators
- Bias-variance trade off on the use of person non-response weights in inequality estimates: Paper at the Q2022 - European Conference on Quality in Official Statistics.
- Chatbots to ‘talk’ with public data: the case of the Luxembourg Income Study (LIS): Coauthor - Presentation at the 2023 NTTS conference in Brussels. Starts at 14:47:55.
class JosepER:
def __init__(self):
self.username = 'joseper'
self.name = 'Josep Espasa Reig'
self.position = 'Data Scientist and Developer'
self.twitter = '@josepespasa'
self.code = {
'languages': ['Python', 'R', 'Julia'],
'database': ['PostgreSQL', 'MySQL', 'SQLite3'],
'devops': ['Docker', 'Linux', 'GitHub Actions', 'AWS'],
'frontend': ['HTML', 'CSS', 'JavaScript'],
'tools': ['GIT', 'GitHub', 'Flask', 'SQLAlchemy', 'Apache Airflow'],
'misc': ['ML', 'causal inference', 'A/B testing']
}
self.certifications = 'AWS Certified Cloud Pracitioner'
self.previous_roles = {
'LIS - Luxembourg Income Study': 'Data Scientist',
'NatCen': 'Senior Statistician',
'PPMI': 'Researcher'
}
def __str__(self):
return f'{self.name} | {self.position}'
if __name__ == '__main__':
me = JosepER()
print(me)