À propos de 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.
Anglais
Bilingue ou natif
Français
Bilingue ou natif
Espagnol
Capacité professionnelle limitée
Néerlandais
Notions
Accepte de travailler sur site
Brussels (jusqu’à 50 km)
Expériences
- King's College LondonMaster Research ProjectCENTRES DE RECHERCHEseptembre 2024 - octobre 2025 (1 an et 1 mois)London, Royaume-Uni• 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
- King's College LondonCo-creator & Policy Placementseptembre 2024 - septembre 2025 (1 an)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
- BurotelAdministrator & Project Manageroctobre 2023 - mai 2024 (7 mois)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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Formations
- MSc Applied Statistical Modelling & Health InformaticsKing's College London2025Thesis: “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 CertificateBrussels School of Governance, VUB2025Focus: EU governance and policy, AI & Digital Rights (AI Act, GDPR), Digital Competition, Sustainability