Freelancer profile translated to English.

Description

With a background in applied mathematics, I specialize in machine learning with experience in the banking sector and with start-ups. I am particularly interested in the explainability and deployment of ML models to produce robust and understandable pipelines.

Languages

French
Native or bilingual
English
Fluent

Workplace preferences

Can work on-site

Paris (up to 50km)

Boursorama
Data scientist
BANKING AND INSURANCE
August 2021 - Today (4 years and 9 months)
Boulogne-Billancourt, France
Creation of an end-to-end ML pipeline to address several use cases in the field of compliance fraud detection:
- Exploratory data analysis
- Feature Engineering (study of existing data, aggregation of data from multiple sources, extraction of new features, dataset cleaning)
- Feature selection (CMIM, Boruta, BorutaSHAP, mRMR, PSI)
- Hyperparameter optimization by GridSearch via pandas_udf and Bayesian optimization with HyperOpt
- Study of business and technical performance
- Robustness study (seed, drop-out, stochastic, drift)
- Communication and presentation of results

Deployment of a Feature Store:
- Calculation of aggregated features over a long time depth concerning the entire customer base (PySpark)
- Job optimization
- Deployment & scheduling (Jenkins)
- Data Quality Monitoring
- Drift Monitoring
Data analysis Big Data Machine learning Python MLOps XGBoost Anomaly Detection
Frères Toque
Data Scientist - Timeseries
RESTAURANTS AND FOOD SERVICE
January 2021 - July 2021 (7 months)
Angers, France
Production of an interactive dashboard
- Parsing of JSON files
- Graphical visualization of various indicators
- Geographical visualization of deliveries
- Performance indicator (restaurant, delivery person)

Time series forecasting:
- SARIMA
- Prophet
- XGBoost

Skills: Data visualization · Time series analysis · Python · Machine learning · Data science · Data exploration
Data visualisation Time Series Python Firebase Machine learning Dash flask

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Master Data Science
University of Angers
2022
UE d'enseignement suivies: - Data Mining - Apprentissage automatique - Base de données relationnelles - Big Data - Statistique en grande dimension - Modélisation stochastique - Statistique inférentielle - Optimisation (linéaire, non-linéaire, sous contrainte) - Analyse numérique matricielle - Python - R Compétences : Mathématiques appliquées · Python · Apprentissage automatique · Science des données · LaTeX · SQL · Django · R Mention très bien
Bachelor's degree in Mathematics
University of Tours
2020
UE d'enseignement suivies : - Algèbre - Analyse - Probabilités et statistique - Groupe et Anneaux - Topologie - Calcul et équation différentielles - Intégration - Anglais - Python Mention Bien

Adrien Maitammar

Data Scientist

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