Description

👋 Hello, I’m Natascha, a data scientist with 6+ years in the humanitarian and international development space. My skills and experience span the entire data lifecycle, from designing tools for data collection, to cleaning and modelling data pipelines, and storytelling through data visualisations and dashboards.

Domaines d’expertise

Langues

Anglais
Bilingue ou natif
Français
Capacité professionnelle limitée

Préférences en matière de lieu de travail

Accepte de travailler sur site

Annecy (jusqu’à 50 km)

Freelance consultant
Data Scientist
janvier 2024 - Aujourd'hui (2 ans et 5 mois)
Annecy, France
Predicting adolescent pregnancy (Uganda)
Built models to identify determinants of pregnancy among adolescents (10–14) to inform policy and programming.
Processed and cleaned large-scale Global Fund data for UNICEF Uganda, merged with demographic variables, and ran regression-based analysis to identify the strongest risk factors.
Skills: data cleaning & feature engineering, regression modelling, statistical analysis, UNICEF/health programme context.

Forecasting food prices (Ethiopia)
Developed a short-horizon forecasting workflow for staple food prices by overlaying multi-source humanitarian data (FEWS NET, WFP, FAO), climate/rainfall data (CHIRPS), and conflict/event data (ACLED).
Automated ingestion, transformation, and update of sources, and exposed the forecasts in a live Streamlit dashboard for non-technical users.
Skills: forecast modelling, automated ETL pipelines (Python), multi-source data fusion (climate + conflict + market), Streamlit visualization.

Intimate partner violence (IPV) screening (South Africa)
Processed and analysed ~35,000 screening records from two hospital sites to identify reporting patterns, gaps, and time trends, and to produce actionable summaries for policy and clinical teams.
Skills: automated data pipeline (Python), data quality checks, health analytics, dashboard/table-ready outputs.
Python Data visualisation Machine learning Statistiques Streamlit
Key Aid Consulting
Data analyst
janvier 2021 - janvier 2023 (2 ans)
Paris, France
Flagship Evaluations & Value for Money Assessments
UNHCR Regional Bureau for Europe – Evaluation of UNHCR's largest-ever emergency response (>USD 1B) to the Ukraine refugee crisis across Poland, Moldova, Slovakia, Hungary, and Romania.
Mercy Corps – Value for Money assessments of a USAID (USD 100M) and FCDO (USD 10M) funded humanitarian cash response in Ukraine and Poland, analysing cost-efficiency and equity.
Norwegian Refugee Council – External evaluation of the Internal Displacement Monitoring Centre’s strategic outcomes, funded by USAID.
Danish Refugee Council – Evaluation of a two-year USAID-funded emergency program addressing food security, protection, and livelihoods in Cameroon.
UNHCR Regional Bureau for West & Central Africa – Thematic evaluation of shelter and settlement interventions across Nigeria, Niger, and CAR.

Market & Feasibility Studies
Catholic Relief Services – Market baseline and cash feasibility study for Ethiopia’s largest food program; managed 25 data collectors, surveyed 700+ respondents.
UNHCR Regional Bureau for West & Central Africa – Cash feasibility study for the Cameroon shelter response.
Aktion Deutschland Hilft Consortium – Assessment of NGO humanitarian access constraints in Syria and Lebanon.

Additional Projects
UNICEF Uganda – Study on prevalence, risks, and consequences of teenage pregnancy.
Belgian Red Cross – Evaluation of a multi-country First Aid Disaster Risk Reduction program across seven countries in East & Southern Africa.
Trócaire – End evaluation of Irish Aid-funded Humanitarian Program Plan across 8 countries (DRC, Ethiopia, Lebanon, Myanmar, Sudan, South Sudan, Somalia, Uganda).
Frontline AIDS – End evaluation of HIV/STI service access among LGBTQI+ persons in Uganda.
Improving Social Relations Lab
Researcher
janvier 2019 - janvier 2021 (2 ans)
Le Cap, Afrique du Sud
A mixed-methods scientific research looking at whether implicit traits influence the effectiveness of communication between historical perpetrators (white South Africans) and historical victims (black South Africans) when discussing historical transgressions (Apartheid in South Africa).