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Natascha MinnittNM

Natascha Minnitt

Data Scientist

€450/day
Annecy, FR
3-7 years

Average response time: 1 hour

About Natascha

👋 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.
  • English

    Native or bilingual

  • French

    Conversational

Can work on-site
Annecy (up to 50km)

Experience

  • Freelance consultant
    Data Scientist
    January 2024 - Today (2 years and 5 months)
    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
    January 2021 - January 2023 (2 years)
    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
    January 2019 - January 2021 (2 years)
    Le Cap, South Africa
    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).

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Education

  • Master Data Scientist
    OpenClassroom
    2025
  • Research Social Psychology
    Vrije University
    2019

Skill set

Categories