Freelancer profile translated to English.
Back to original languageAbout Adem
Freelance in Data Science, Data Engineering, and AI Engineering, passionate about innovation, generative AI, and data.
I support you in transforming your data and AI projects into successes:
- Data & AI Strategy Consulting
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◼️Data Science & Machine Learning
- Statistical analysis and data exploration (EDA)
-Feature engineeringand dataset preparation
- Predictive model development(regression, classification, clustering)
- AdvancedMachine LearningandDeep Learningmodels
- Deployment viaAPI
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◼️AI Engineering, AI Agents
- Development ofautonomous AI Agents(**LangChain, LangGraph**)
- Design ofRAG pipelines(Retrieval-Augmented Generation)
- Implementation ofAgentic RAG systems(collaborative multi-agents)
- Optimization andfine-tuningofLLMmodels.
-Integrationwith **business tools**: third-party APIs
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◼️Data Visualization and Valorization
- Creation of interactivedashboards(Tableau, PowerBI)
- Automated reporting and Data Storytelling
- Visualization of data flows and AI performance
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◼️ Data Engineering
-Collectionof data from multiple sources (**APIs, databases, web scraping**)
- Dataingestionand transformation – [Airflow, Spark, dbt]
- Storage and management of relational andnoSQLdatabases (**PostgreSQL** ...etc)
-Modelingof optimized data schemas
- Construction of performant and resilientdata pipelines
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◼️Tools & Technologies
- **Languages**: Python, SQL, Bash
- **Big Data**: Spark, Airflow
- **ML/AI**: Scikit-learn, PyTorch
- **AI Agents**: LangChain, OpenAI API
- **Cloud**: AWS
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🔥 Ready to unlock the full potential of your data and generative AI?
Let's discuss your Data, ML, and AI challenges together.
👉 Send me a message to talk about it!
French
Native or bilingual
English
Native or bilingual
Can work on-site
Strasbourg (up to 50km), Paris (up to 20km), Lyon (up to 20km), Toulouse (up to 20km)
Experience
- Data For GoodData ScientistFebruary 2025 - Today (1 year and 4 months)
- Development of ML models and data-driven solutions for NGOs to address social challenges.
- Collaboration with teams to understand expectations and ensure efficient technical execution.
- IcubeData ScientistMEDICALFebruary 2024 - August 2024 (6 months)
- Development of a deep learning model (Convolutional Neural Network CNN) with PyTorch
- for image classification on a dataset related to rare diseases, achieving an F1 score of 96%.
- Design and execution of ETL pipelines integrating data from various public databases.
- Creation of a web application with Dash to query a database, optimizing data access and reducing search time.
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Education
- Master 2: Artificial Intelligence and Health DataUniversity of Strasbourg2024Apprentissage automatique (ML), Apprentissage profond (DL), Vision par ordinateur (CV), Traitement du langage naturel (NLP), Biostatistiques, Prédiction, Classification, Clustering, Législation et éthique des données de santé
Certifications
- Google Data Analytics Professional CertificateGoogle2022