Freelancer profile translated to English.
Back to original languageAbout Khalil
Data and Statistics Engineer, graduated from the Léonard de Vinci Engineering School (Data & Artificial Intelligence major). With 4 years of experience as a Data Scientist/ML Engineer, first at Orange and then at SAMU centre 15 des Yvelines (Hôpital André Mignot), I would be happy to assist you in your projects, from simple data exploration to the construction of complex models.
Technologies and frameworks
Programming language: Python, PySpark, C, C++, R, SQL
Data Science / ML: Python, PyTorch, TensorFlow, Spark, Elasticsearch, Lightning, ClearML, OpenCV, Scikit-learn, LlamaIndex, LangChain, NEO4J, Multiprocessing, NumPy, SciPy, Pandas, Matplotlib, Selenium, AutoML, H2O, Flask API
Software / Cloud: Git, Azure, GCP, Docker, Kubernetes, Jupyter, VSCode, Databricks
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 30km)
Experience
- Milhano SASData scientist ML EngineerLUXURY GOODSNovember 2024 - April 2025 (5 months)Paris, France- Development of an AI chatbot (RAG) enriched with product data and intended for salespeople, which providesinstantaneous detailed product descriptions via a web API (FastAPI) (Composition, types of leather, characteristics)- Development of a data enrichment pipeline by extracting key fields from invoices with Qwen 2.5 vLLM,processing with Polars and injection into a DuckDB database- Creation of dashboards that analyze sales based on hours, seasons, and purchased products(Power BI)
- SAMU 78Data Scientist / ML EngineerHEALTH AND WELLNESSDecember 2022 - July 2024 (1 year and 8 months)Le Chesnay, FranceDefinition of the data valorization strategy and implementation of datatreatment tools with the SAMU management (Data Governance)• Implementation of the new cloud architecture for the data warehouse with GCP anddata migration (Oracle, BigQuery)• Creation of a medical data processing pipeline with anonymization todevelop an algorithm to predict the seasonality ofcertain pathologies (flu, bronchiolitis, psychiatric pathologies) to adapt medicalresources (DataFlow, Times Series, LSTM, Gradient Boosting)• Extraction, transformation, and loading of data from medical regulation reports toclean, validate, and organize this data for the construction of statisticalstudies• Construction of algorithms to cluster patient journey phenotypes andpredict potential re-hospitalizations (Partitioning Around Medoids – PAM,Python)• Creation and deployment of dashboards that analyze the distribution of calls bypathology in the department of Yvelines (Tableau /Power BI)
- Orange SAData ScientistTELECOMMUNICATIONSOctober 2020 - October 2022 (2 years)Paris, France• Implementation of HSQL queries to process and analyze data from the Data Hub (Apache Hive, Hadoop)• Optimization of data pipelines to reduce costs (Airflow)• Development of an RNN (LSTM) to detect incidents and malfunctions in technical domains (IoT, Roaming, and WholesaleOffers)• Creation of KPIs and operational dashboards (Tableau Software, Grafana)• Automation of mobile data dashboards (Qlik Sense)
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Education
- General EngineerESILV2022Machine Learning, Deep Learning, NLP, NoSQL, Python for Data, DataViz, Statistique de la donnée, Base de données et interopérabilité, Probabilités numériques, Statistique inférentielle, Optimisation et Recherche Opérationnelle, Cloud and virtualization techniques, Graph and minning Soft Skills : Savoir vendre ses idées, Team Building, méthode Agile et Design Thinking
- Preparatory class MPSI/MPLycée Jeanne d'Albret2019