Resume

I’m a data scientist building end-to-end machine-learning systems for financial-crime detection. My work spans production ML, experimentation, analytics, and applied deep learning.

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Experience

Data Scientist, Wise

October 2024 — present · Budapest

• Build and ship production machine-learning systems for financial-crime detection.
• Lead experimentation and causal analysis across KYC and AUP, from power analysis through rollout decisions.
• Develop reusable LLM app, observability, and metric systems in partnership with product and engineering teams.

Product Analyst Intern, Wise

June 2023 — September 2023 · Budapest

• Built customer segmentation models using transaction patterns and loyalty metrics.

Quantitative Developer Intern — FX, Citi

June 2022 — March 2023 · Budapest

• Automated reporting and model-analysis workflows, eliminating roughly 40 hours of manual work each month.

Education

Eötvös Loránd University

MSc in Computer Science and Data Science · 2024

Stipendium Hungaricum Excellence Scholarship.

Ibn Tofail University

BSc in Computer Science and Mathematics · 2021

Graduated with distinction.

Publication

Data Augmentation for Pseudo-Time Series Using GANs

ITAT · 2023

First-author research on an LSTM-GAN architecture for synthetic time-series generation.

Selected achievements

• Co-founded an award-winning accessibility startup at Startup Weekend Tangier.
• Analyzed satellite data at the NASA Space Apps Challenge in Casablanca.
• Won first place at a fintech hackathon with a mobile financial-management application.

Skills

Statistics and ML: Experimentation, causal inference, metric design, classification, clustering, feature engineering, and deep learning.

Data and engineering: Python, SQL, dbt, Airflow, Git, and Superset.

Applied AI: RAG pipelines, embeddings, vector databases, and production LLM systems.

Languages: Arabic, English, French, and Basic German (B1 Goethe Institute).