Freelancer profile translated to English.
Back to original languageAbout Soukaina
Hello,
I am a data scientist with 5 years of experience in data science and devops. I have worked on various projects in the banking sector, particularly on anomaly classification, AI creation in chatbots, and CV/job matching. I also worked as a devops at BNP Paribas to implement CI/CD pipeline automation for scripts in Staging and PROD environments. I am a rigorous, passionate, and adaptable person.
French
Native or bilingual
English
Fluent
Italian
Conversational
Arabic
Native or bilingual
Can work on-site
Paris (up to 50km)
Experience
- Crédit Agricole Technologies et ServicesData ScientistBANKING AND INSURANCEOctober 2022 - Today (3 years and 8 months)Île-de-France, France• Implement a machine learning model for classifying requests from the CAESAR Chatbot, which facilitates communication between advisors and regional experts.• Extract encrypted data from MongoDB and create algorithms for decryption.• Clean and vectorize textual data (Tf-Idf & Word Embedding).• Train a KNN classifier and validate the model for industrialization.• Define and deploy best practices in Machine Learning and MLOps.• Industrialize NLP pipelines and create Python APIs with Flask.
- BNP Paris basPython Developer/DevOpsBANKING AND INSURANCEMay 2021 - October 2022 (1 year and 5 months)Île-de-France, France• Clean up and migrate PNL & Risk scripts/batches from Python 2 to Python 3 and improve code quality.• Implement daily alerting and monitoring tools for On-premise infrastructures (Python Scripting, Geneos).• Respond to business needs: Extract data from Elasticsearch and create daily reports for the Position Builder application, including application status, error lists, and statistics.• Implement CI/CD pipeline automation for scripts in a PROD environment (Jenkins, Ansible, git, bitbucket).• Maintain and improve integration & continuous deployment pipelines (Ansible Scripting).• Perform installation tasks across all environments from STG to PROD: Update Oracle driver, install Spark Cluster, and monitor related jobs (Jenkins, bash).• Automate, optimize, and migrate jobs under the PRM scheduler and track technical changes and operations.• Create documentation, technical guides, and operating procedures.
- Inventiv-ItData ScientistBANKING AND INSURANCEMay 2020 - May 2021 (1 year)Levallois-Perret, France• Develop an algorithm for matching CVs and job offers and integrate it into the Jobslake platform for connecting ESNs, consultants, and end clients.• State-of-the-art review of Natural Language Processing algorithms for calculating the similarity of textual documents.• Calculate similarity using Google's Universal Sentence Encoder Multilingual algorithm for transforming textual data into numerical data.• Train a Deep Learning model for extracting keywords from job offers: Named Entity Recognition with Spacy.• Index data in Elasticsearch and create a relevant search engine for finding offers and candidates.• Create Azure pipelines and utilize machine learning models available on Azure ML.
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Education
- Master Modeling, Computation, and Decision SupportUniversity of Lorraine2018Master Modélisation Calcul et Aide à la Décision
- Master of FinanceUniversity of Lorraine2017Master Mathématiques Appliquées à la Finance