Freelancer profile translated to English.

Description

💡What I do?

I transform your raw data into intelligent models that createreal valuefor your **business**.

👩🏻‍💻Who am I?

Data Scientist&Machine Learning Engineer(4+ years of experience), graduated fromENS UlmandCentraleLyon.

I design robust and tailor-made ML solutions, from research to production deployment.

📊My approach?

Understanding your business challenges first and foremost, then building the most suitable model to address them accurately.

📋What do I do concretely?

Machine Learning & Modeling

Tailor-made predictive models: scoring, segmentation, classification, regression, time series, anomaly detection, recommendation systems.
Rigorous construction of training data: sampling strategies (stratified, weighted), handling class imbalance, detecting and preventing data leakage.
Advanced feature engineering: encoding categorical variables, feature crossing, selection by feature importance and generalization.
Model evaluation and selection: baselines, ensembles, cross-validation, hyperparameter tuning.

NLP & Generative AI

Text analysis, document classification, entity extraction.
Fine-tuning language models (BERT, Transformers, Hugging Face).

💼My experience?

AdTech (Adikteev), Insurance (SCOR), Cybersecurity (Institut Polytechnique de Paris), Supply Chain (Danone) — diverse contexts that allow me to quickly adapt to your business issues.

🛠️Stack?

Python, PyTorch, TensorFlow, Scikit-Learn, Hugging Face, SQL, Spark...

📍 Based in Paris | Remote or hybrid | I respond quickly.

Industry field of expertise

Languages

English
Native or bilingual
French
Native or bilingual
Arabic
Native or bilingual

Workplace preferences

Can work on-site

Paris (up to 20km)

Adikteev
Machine Learning Engineer
March 2022 - Today (4 years and 4 months)
Paris, France
○ Collaborated cross-functionally with engineering, product, and data teams to translate business constraints into scalable ML solutions deployed in real-time environments.
○ Led the end-to-end development and production deployment of a Bayesian logistic regression model predicting conversion probability in real-time bidding (RTB) auctions.
○ Architected and optimized the end-to-end ML pipeline (data processing, feature engineering, training, validation,
inference), reducing compute cost by 20% and significantly improving latency and system efficiency.
○ Integrated high-impact predictive signals (bidding counters, churn indicators) and engineered preprocessing
strategies to improve production stability.
Machine learning Data science Python
SCOR,
Data Scientist
BANKING AND INSURANCE
May 2021 - November 2021 (6 months)
Paris, France
○ Designed statistical forecasting models to estimate mortality trends and crisis impacts across global demographic
segments using ARIMA-based approaches.
○ Processed and standardized large-scale heterogeneous datasets from international life-table sources spanning age,
country, and temporal dimensions (1,400+ configurations).
○ Presented mortality modeling findings at Longevity 16 (Bayes Business School, Pensions Institute) to actuarial and industry stakeholders as a parallel session speaker.
Data science Statistics Time Series
Institut Polytechnique de Paris,
Data Scientist intern
ENERGY AND UTILITIES
April 2020 - October 2020 (6 months)
Palaiseau, France
○ Conducted large-scale exploratory analysis on multi-feature datasets (50+ variables), applying dimensionality
reduction (PCA) to identify high-value predictive signals.
○ Engineered features and data pipelines to support robust anomaly detection models.
○ Implemented and evaluated multiple algorithms (K-Means, Isolation Forest, statistical thresholds), improving
detection performance and increasing F1-score by up to 4 percentile points.
○ Delivered interpretable model insights to support decision-making in applied research environments.
Deep Learning LSTM Cybersecurity