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Anna FinchAF

Anna Finch

Data Scientist - Predictive AI for Healthcare

€450/day
Brussels, BE
0-2 years

Average response time: 1 hour

About Anna

Recent MSc graduate (Distinction) specializing in applied machine learning and statistical modeling. I help organizations build robust, interpretable ML solutions while ensuring ethical deployment and fairness across diverse applications.

What I Offer:
Machine Learning & AI Development
  • End-to-end ML pipeline development and deployment, including data cleaning and visualisation
  • Supervised and unsupervised learning implementations
  • Natural Language Processing: text classification, sentiment analysis, entity recognition
  • Model optimization and performance tuning
  • Predictive modelling and classification problems
Statistical Analysis & Modelling
  • Advanced statistical modelling (causal analysis, mediation analysis, Latent variable modelling)
  • Hypothesis testing and experimental design
  • Data visualization and insight generation
  • A/B testing and results interpretation

Ethical AI & Model Governance
  • Bias detection and mitigation strategies (AIF360)
  • Model interpretability and explainability (SHAP, LIME)
  • Fairness metrics implementation
  • AI documentation and audit trails
  • GDPR and AI Act compliance assessment
Technical Stack: Python (pandas, numpy, scikit-learn, seaborn, matplotlib) | R (tidyverse) | STATA, SPSS | TensorFlow | Keras | Hugging Face | NLP libraries

Domain Experience: Health informatics | Compliance systems | Process optimisation

Recent Impact:
  • Developed ML methods comparison framework addressing ethical considerations
  • Optimized data management systems reducing processing time by 50%
  • Managed compliance data systems for 500+ companies

Based in Belgium with work authorisation. Available for projects across sectors requiring rigorous data analysis, machine learning implementation, and responsible AI practices.
  • English

    Native or bilingual

  • French

    Native or bilingual

  • Spanish

    Conversational

  • Dutch

    Basic

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

Experience

  • King's College London
    Master Research Project
    RESEARCH
    September 2024 - October 2025 (1 year and 1 month)
    London, United Kingdom
    • Design of a machine learning benchmarking project: evaluating ML methods for depression detection from speech against ethical criteria, directly addressing AI safety challenges in healthcare evaluation. [manuscript under publication]

    • Systematic comparison of five machine learning methods (SVM, Elastic Net, GMM, MLP, Random Forest) across three datasets and five languages, totalling 13k+ speech samples.

    • Evaluation of the 25 models across performance, interpretability, bias, and cross-language generalisability.

    Skills & Libraries: Python | Bias mitigation (AIF360) | Interpretability (LIME, SHAP) | Research Report | Data Cleaning
    Python Machine learning artificial intelligence Bias Mitigation Interpretability
  • King's College London
    Co-creator & Policy Placement
    September 2024 - September 2025 (1 year)
    London, UK
    • Member of collaborative policy research teams reviewing university policy on usage of student data, anti-racism, anti-bullying and entrepreneurship

    • Chosen from cohort to lead a four people group creating speculative prototypes and policy recommendations advising the data policy
  • Burotel
    Administrator & Project Manager
    October 2023 - May 2024 (7 months)
    Brussels, Belgium
    • Project manager: optimised the daily tasks and data collection processes improving efficiency within the company, coordinating CEO expectations and the developper team

    • Project leader: created Excel records for over 500 client companies in accordance with Belgian anti-money laundering legislation with automatic email reminders

    • Managed administrative tasks: client queries, room bookings, post correspondence

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Education

  • MSc Applied Statistical Modelling & Health Informatics
    King's College London
    2025
    Thesis: “Beyond Accuracy: Challenges in Ethically Comparing Machine Learning Methods for Mental Disorder Detection.” [Manuscript publication in progress] Modules: Statistical Modelling (inc. causal & latent variable), AI Programming: Machine Learning, NLP, AI for health informatics
  • EU Policy Making Certificate
    Brussels School of Governance, VUB
    2025
    Focus: EU governance and policy, AI & Digital Rights (AI Act, GDPR), Digital Competition, Sustainability

Skill set

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