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5 commits

Author SHA1 Message Date
440c4417c5
Update for new work experience 2023-2024 2024-05-29 12:23:05 +02:00
43cb95b46a
Update dependencies 2024-05-29 10:23:14 +02:00
b222a3b874
Fix missing README and imports 2024-05-29 09:05:45 +02:00
f8ee96970a
Make work experience bulletpoints optional
By supplying `bulletpoints_show = False` to the experience function,
the bullet points under each work experience heading will be
entirely removed so only the work experience names themselves
remain. Good for a general CV, or non-american style listings.
2024-05-29 09:05:23 +02:00
6f1b5d0b21
Decrease length of title UNU-WIDER project
German title was pushing date off its column, slight rewording to put
keep it to maximum length.
2023-08-05 09:20:17 +02:00
6 changed files with 1226 additions and 820 deletions

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@ -35,21 +35,50 @@ summary:
experience:
- date:
de: 2022--2023
en: 2022--2023
de: 2024
en: 2024
title:
de: Co-Autor, Formalisierung und sozialer Schutz, World Development
en: Co-Author, Formalization and social protection, World Development
publication:
de: 'Torm, N., \& Oehme, M. (unveröffentlicht). Social protection, productivity and formalization among low- and middle-income countries: a scoping review of the literature. World Development.'
en: 'Torm, N., \& Oehme, M. (forthcoming). Social protection, productivity and formalization among low- and middle-income countries: a scoping review of the literature. World Development.'
de: 'Torm, N., \& Oehme, M. (2024). Social protection and formalization in low-and middle-income countries: A scoping review of the literature. World Development, 181.'
en: 'Torm, N., \& Oehme, M. (2024). Social protection and formalization in low-and middle-income countries: A scoping review of the literature. World Development, 181.'
bullets:
- de: Quantitative Analyse der Verknüpfungen von sozialer Absicherung, Formalisierung und Produktivität
en: Quantitative analysis of connections between sozial protection, formalization and productivity
- de: "Durchführung eines 'Scoping Review': Umfassende Quellenrecherche im Umfang von 2000 Überprüfungskandidaten"
en: "Implementation of a 'scoping review': Comprehensive source research to the extent of 2000 candidates"
- de: Editorielle Anpassungen von einem Arbeitspapier auf eine Veröffentlichung durch zeitschriftlichen Verlag
- de: Editorielle Anpassungen von einem Arbeitspapier auf eine Veröffentlichung durch wissenschaftlichen Verlag
en: Editorial adaptation from a working paper towards a journal article ready for publishing
- date:
de: 2023--2024
en: 2023--2024
title:
de: Externer Forscher, Ungleichheiten auf dem Arbeitsmarkt
en: External researcher, Inequalities on the Labour market
publication:
de: Niño-Zarazúa, M., Tejería Martínez, M., \& Oehme, M. (unveröffentlicht). Addressing Inequalities in the World of Work. ILO.
en: Niño-Zarazúa, M., Tejería Martínez, M., \& Oehme, M. (forthcoming). Addressing Inequalities in the World of Work. ILO.
bullets:
- de: Zusammenstellung eines systematischen Scoping Review von 4000 globalen Kandidaten für Arbeitsmarktanalysen
en: Compiling a systematic scoping review of 4000 global labour market analysis candidates
- de: Durchführung einer quantitativen Quellenanalyse unter Verwendung neuer Analysen zur Studienvalidität
en: Conducting quantitative source analysis using novel study validity assertions
- de: Erstellung einer umfassenden qualitativen Synthese aus 52 relevanten Arbeitsmarktanalysen
en: Creating a comprehensive qualitative synthesis of 52 relevant labour market analyses
- date:
de: 2023
en: 2023
title:
de: Consultant, Forschungsarbeit für nachhaltige Beschaffung in internationaler Logistik
en: Consultant, Research on sustainable procurement in international logistics
bullets:
- de: Qualitative Gegenüberstellung verschiedener Forschungsperspektiven im Lieferkettenmanagement
en: Qualitative comparison of various research strands within supply chain management
- de: Analyse von Beschaffungsteilprozessen als lineare, zyklische und entscheidungsorientierte Modelle
en: Analysis of procurement sub-processes as linear, cyclic and decision-oriented models
- de: Klare Abgrenzung der Antriebe und Hindernisse für die Erreichung von Nachhaltigkeit in der Beschaffung
en: Clear delineation of primary drivers and barriers of achieving sustainability in procurement
- date:
de: 2022
en: 2022
@ -83,7 +112,7 @@ experience:
de: 2022
en: 2022
title:
de: Forschungsassistenz, Entwicklungsprojekte zur Reduzierung von Ungleichheitstrends, UNU-WIDER
de: Forschungsassistenz, Ungleichheitstrends Reduzieren in Entwicklungsprojekten, UNU-WIDER
en: Research Assistant, Development projects to reduce inequality trends, UNU-WIDER
publication:
de: Niño-Zarazúa, M., \& Morabito, C. (unveröffentlicht). Assessing the potential distributional impacts of development interventions. UNU-WIDER.

1988
poetry.lock generated

File diff suppressed because it is too large Load diff

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@ -23,7 +23,8 @@ def experience_to_md(
data: dict[str, Any],
lang: str = "en",
headline: str = "",
subdued_publications: bool = True,
subdued_publications: bool = True, # slightly off-color presentation
bulletpoints_show: bool = True,
):
if "experience" not in data:
return ""
@ -36,8 +37,9 @@ def experience_to_md(
if "publication" in exp:
md += _publication_md(exp["publication"][lang], subdued_publications)
for point in exp["bullets"]:
md += f"* {point[lang]}\n"
if bulletpoints_show:
for point in exp["bullets"]:
md += f"* {point[lang]}\n"
md += "\n\n"
return md

View file

@ -4,7 +4,9 @@ version = "0.1.0"
description = "My personal curriculum vitae"
authors = ["Marty Oehme <marty.oehme@gmail.com>"]
license = "GPLv3"
readme = "README.md"
packages = [
{ include = "processing"}
]
[tool.poetry.dependencies]
python = "^3.11"

View file

@ -13,8 +13,7 @@ right-column:
---
```{python}
from IPython.core.display import Markdown
from IPython.display import display
from IPython.display import display, Markdown
from processing import yml
from processing import content

View file

@ -21,11 +21,11 @@ from processing import content
data=yml.parse("content.yml")
lang="en"
```
```{python}
display(Markdown(content.summary_to_md(data, headline="# Summary", lang=lang)))
```
```{python}
display(Markdown(
content.experience_to_md(data, headline="# Professional experience", lang=lang)))