Freelancer profile translated to English.
Back to original languageAbout Khadim
Data & AI Engineer specializing in Data Engineering, Machine Learning, Deep Learning, and web & mobile application development. Trained at DataScientest (Paris 1 Panthéon-Sorbonne & Mines Paris – PSL), I assist companies from raw data to intelligent, scalable, and deployed solutions.
I am involved in designing data architectures, orchestrating pipelines, deploying AI models, as well as developing web/mobile applications and custom digital solutions. I integrate AI technologies (NLP, recommendation, automation) to create innovative products with high added value.
Achievements: Smart Travel Planner (intelligent recommendation, clustering, sentiment analysis, route optimization), interactive dashboards, APIs, and data-driven applications.
Technical Skills:
• Python, R, SQL, JavaScript, HTML/CSS
• AI/ML: TensorFlow, Keras, NLP, predictive models
• Data & Cloud: GCP, BigQuery, Docker, Kubernetes, Airflow
• Databases: PostgreSQL, MongoDB, Neo4j, Elasticsearch
• Data Viz & Apps: Power BI, Looker Studio, Streamlit, R Shiny
• Web/Mobile Dev: APIs, web applications, automation
• CI/CD & Tools: GitLab, Terraform, MLflow, Grafana
Work Method:
• Needs analysis & product vision
• Agile, clean, and scalable development
• Cloud deployment & industrialization
• Monitoring, continuous optimization & performance
I offer services in Data Engineering, AI, web/mobile application development, website creation, and automation to transform your data into concrete, value-generating solutions.
French
Native or bilingual
English
Fluent
Italian
Fluent
Remote only
Primarily works remotely
Experience
- ValeoData Engineer / Data Scientist/ AIAUTOMOBILESeptember 2022 - October 2025 (3 years and 1 month)Issoire, FranceMaintenance and evolution of an R Shiny application for warranty prediction (Weibull, IPTV), deployed via CI/CD on GCP. Development of strategic dashboards (Red Box) by site and region integrating SQCM indicators (Safety, Quality, Cost, Motivation). Processing of text and time-series data with machine learning and deep learning (Verbatim cleaning, KNN and CNN).
- ValeoTECHNICIAN IN STATISTICS AND DECISIONAL INFORMATION SYSTEMSAUTOMOBILEApril 2022 - August 2022 (4 months)63500 Issoire, FranceCreation and deployment on GCP of a warranty calculation tool under R Shiny that allows for statistical analysis of data and "simple" warranty calculations in time and mileage on Rshiny.
- IUTData Engineer / Data Scientist / Data AnalystSeptember 2020 - June 2022 (1 year and 9 months)Aurillac, FranceR Shiny application for analyzing accidents in the UK. Interactive application to analyze accidents in the United Kingdom with R Shiny and PostgreSQL. Project R Analysis of Ligue 1 data (2017-2021) to study the impact of COVID-19.
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Education
- Data engineer/Data scientist/AIDataScientest partnership with Paris 1 Panthéon-Sorbonne University & Mines Paris – PSL Paris2025Projet : Smart Travel Planner Développement d'une application touristique intelligente utilisant l'IA et la data pour optimiser les itinéraires et fournir des recommandations personnalisées. Ce projet inclut des fonctionnalités telles que la recherche de points d'intérêt, l'optimisation d'itinéraires, et un chatbot pour résumer le voyage de l'utilisateur. Langages Python, R, SQL, HTML/CSS, Java Visualisation Power BI, Google Data Studio, R Shiny, Streamlit, Dash Bases de données PostgreSQL, MongoDB, Neo4j, Elasticsearch Cloud & DevOps GCP, Docker, Kubernetes, GitLab CI/CD, Terraform, Airflow, MLflow IA/ML/DL TensorFlow, Keras, traitement sémantique, KNN, CNN Outils Prometheus, Grafana, Talend, Excel, Google Sheets
- DUT STID ((STATISTIQUES ET INFORMATIQUESDÉCISIONNELLES) OPTION CYBERSÉCURITÉIUT de Clermont-Ferrand Antenne Aurillac2022Application R Shiny pour l'analyse des accidents au Royaume-Uni Application interactive pour analyser les accidents au Royaume-Uni avec R Shiny et PostgreSQL. Projet Web Scraping avec R Analyse des données de la Ligue 1 (2017-2021) pour étudier l'impact du COVID19.