Freelancer profile translated to English.
Back to original languageAbout Ari
Passionate about data and AI, I design and deploy large-scale machine learning solutions (Python, Scikit-learn, Spark, SQL) to transform data into action levers. Experienced in automating ML CI/CD pipelines (GitLab) and cloud environments (AWS), I am looking to contribute to innovative projects with high impact.
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 30km)
Experience
- TotalEnergies TOTSAData ScientistENERGY AND UTILITIESApril 2024 - April 2025 (1 year)64000 Pau, France
- Development of a Power BI dashboard to compare the performance of sensor technologies (old/new) and monitor the status of over 600 sensors across 6 subsidiaries in real-time.
- Collection and integration of technical data from meetings with subsidiaries, subcontractors, and international suppliers.
- Centralization of over 10 million data points from various sources into a single database, improving accessibility and analysis.
- Implementation of the Kaplan-Meier statistical method to estimate the lifespan of each sensor technology.
- Establishment of data governance to ensure regular updates of sensor data by subsidiaries.
Financial impact: savings of €0.5–1M/subsidiary, OPEX impact of €10M.Tools: Power BI, Python, SQL, Excel, GitHub, Confluence - LuminusData ScientistOctober 2023 - September 2024 (1 year)Brussels, Belgium
- Training models on 10 million data points to detect unpaid customer invoices (accuracy: 91.3%), contributing to the reduction of losses related to payment defaults.
- Fine-tuning of BERT models to analyze the sentiment of audit reports and assist analysts in credit acceptance decisions for clients.
- Development of CI/CD pipelines orchestrating ETL processes for data ingestion, processing, and automated model deployment.
- Creation of an interactive Power BI dashboard to help the team process various email streams and maintain a history of the last hundreds of emails.
Tools: Airflow, AWS S3, Conveyor, Docker, Python, Ubuntu, GitLab, Confluence - ArkeUpData ScientistDIGITAL AND ITJune 2022 - August 2022 (2 months)Paris, France
- Anomaly detection on 8 million vehicle time-series data using an adapted processing pipeline, optimizing data quality and analysis accuracy.
- Comparative evaluation of clustering model performance to predict technical failures.
- Deployment of machine learning models within a Java microservice.
Tools: Python (Scikit-learn, Pandas, NumPy, PyTorch)
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Education
- Diplôme d'ingénieur Mathématiques Informatique Spécialisé en IACY Tech (ex - EISTI)2023Diplôme d'ingénieur Mathématiques Informatique Spécialisé en IA