Welcome to Karima's freelance profile!
Location and workplace preferences
- Location
- Lyon, France
- Can work on-site in your office in
-
- around Lyon and 50km
Preferences
- Project length
-
- ≤ 1 week
- ≤ 1 month
- Between 1-3 months
- Company size
-
- 1 person
- 2-10 people
- 11 - 49 people
- 50 - 249 people
- 250 - 999 people
+2 autres
Verifications
Freelancer code of conduct signed
Read the Malt code of conduct
Languages
Categories
Skills (21)
- BigData
-
- Data Science
-
Beginner Intermediate Advanced
- Databases
-
Beginner Intermediate Advanced
-
Beginner Intermediate Advanced
-
-
-
-
Karima in a few words
Je suis accompagnant pédagogique et évaluatrice sur le parcours de formation de Data Analyse (certification CentraleSupélec).
Capacite de recherche, d'extraction, de nettoyage de données à des fins d'analyses et d'exploitations.
Possibilité de travail en français et en anglais. Je suis à l’écoute du marché et disposée à échanger sur d’éventuelles missions. Mes atouts sont la flexibilité, l'agilité, le respect strict des délais de livrables et la présentation professionnelle des résultats et/ou rapports de mission.
Experience
OpenClassrooms - Openclassrooms
Education & E-learning
Mentor OpenClassrooms - Data Analyst - As a freelancer
- SQL, MySQL, PostgreSQL
- Python
- Data visualisation: Tableau, Power BI
- BIG DATA: Hadoop, MongoDB, Spark, Elasticsearch, PIG
- ETL: KNIME, Talend
Supervision and evaluation of students/professionals from UK following RNCP formations (master's degree) certified by OpenClassrooms & CentraleSupélec :
- Data Analyst Collaboration and support data analyst students
- SQL, MySQL, PostgreSQL
- Python
- Data vizualisation: Tableau, Power BI
- BIG DATA: Hadoop, MongoDB, Spark, Elstaicsearch, PIG
- ETL: KNIME, Talend
YobiTrust YT
Medical
Data Analyst
Utilisation de techniques d'extraction (nettoyage, réduction, transformation...) et d'analyse des données issues de l'open data,
Analyse des données pour en extraire de la connaissance utile à l'optimisation des processus,
Développement de modèles descriptifs et prédictifs (machine learning) pour valoriser l'ensemble des données,
Développement de méthodologies correspondant aux algorithmes et outils associés orienté big data et data science,
Technologies: Python et librairies associées, PySpark, R pour l'analyse statistique, MongoDB, Hadoop
Development of a data environment based on the impact of nutrition on associated non-communicable diseases (such as diabetes and cardiovascular diseases) as part of the development of a digital application, Use of extraction techniques (cleaning, reduction, transformation ...) and analysis of data from open data, Data analysis to extract knowledge useful for process optimization, Development of descriptive and predictive models (machine learning) to enhance all the data, Development of methodologies corresponding to algorithms and associated tools oriented big data and data science, Technologies: Python and associated libraries, PySpark, R for statistical analysis, MongoDB, Hadoop
A*STAR - Agency for Science, Technology and Research
Research
R&D Chemist Engineer
- Analyse de données des systèmes biologiques générées par spectrométrie de masse CYTOF
- Analyses statistiques (outil PRISM) et clustering de populations cellulaires (outil FLOWJO)
- Optimisation subséquente des expérimentations
- Validation en grande dimension des profils immunitaires (cancer et maladies infectieuses)
Development and optimization of novel, sensitive and efficient metal chelating polymer or nanoparticles to enhance signal sensitivity
• Aim to identify novel correlates of clinical outcomes for a variety of diseases
• Training of students and collaborators – Manuscript review
• Antibody and protein engineering for unique DNA tagging
• Regular reports and presentation to scientific colleagues and collaborators
• Follow-up of project life-cycle: planning, reporting, termination Collaborations Joint Research Project between SIgN and Janssen Infectious Diseases (RCA) A*STAR (IMRE) JCO Grant (Dr Nikodem) and Internal Grant call (Dr Paramelle) NUS – Department of Physiology: Dr Jonathan Scolnick
A*STAR - Agency for Science, Technology and Research
Research
R&D Engineer
- Création d’une librairie lipidique à potentiel thérapeutique
- Validation par expérimentation au laboratoire des candidats
Scientific Reports (Oct 2016), Microchip-based ultrafast serodiagnostic assay for tuberculosis
Development and optimization of unique lipid system for isolation, purification and analysis
• Set-up lipid and HPLC platform independently
• Regular reports and presentation to scientific colleagues and collaborators
• Highest level of lipid discrimination from cells, bacteria, tissues Collaborations Joint Research Project between SIgN and Novartis (RCA) NUS – Singapore Lipidomics Incubator: Dr Markus Wenk
NMI - Natural and Medical Sciences Institute
Biotech
R&D Engineer
- Développement de systèmes hydrogel pour culture cellulaires 3D
- Brevet PCT/EP2011/000503 (2010)
Cross-linking agents for hydrogels that contain cleavable peptides and short-chain polymers.
Unique toolbox of reagents for 3-D biomimetic Hydrogel
• Polymer and peptide engineering independently
• Kinetic and mechanical studies for hydrogel 3-D design
• Regular reports and presentation to scientific colleagues
1 external recommendation
Check out Karima's recommendations