Freelancer profile translated to English.
Back to original languageAbout Takoua
Passionate about data analysis and management, I leverage my expertise in modeling, visualization, and statistical analysis to optimize decision-making processes. With my mastery of Databricks and advanced analytical tools, I develop efficient solutions for large-scale data processing and workflow automation. My goal is to harness the power of data to improve the performance of existing systems and facilitate strategic decision-making.
Data Engineer with expertise in designing and implementing scalable data pipelines, specializing in data acquisition, integration, and optimization. Proficient in tools and technologies like Databricks, Python, PySpark, Spark SQL, and cloud platforms including AWS. Demonstrated success in optimizing data processes and improving data quality and efficiency.
French
Native or bilingual
English
Fluent
German
Conversational
Can work on-site
Paris (up to 20km)
Experience
- ECRIN (European Clinical Research Infrastructure Network)Data ScientistJanuary 2023 - April 2026 (3 years and 3 months)Paris, FranceMissions:Design and deployment of data ingestion and transformation pipelines with Delta Live Tables, ensuring reliable ingestion, quality controls, and reproducibility of analyses.Management of data access and traceability via Unity Catalog, ensuring compliance with regulations (GDPR, ICH-GCP) and facilitating auditability.Design and deployment of analytical dashboards leveraging Databricks results, improving data-driven decision-making.Development and implementation of Machine Learning models on Databricks to predict clinical trial outcomes and identify associated risk factors. Conducting in-depth statistical analyses, including modeling, linear and survival regression, to extract meaningful insights from data.Programming and validation of statistical outputs (tables, listings, figures)Communicating and explaining data analysis results to stakeholders
- Fraunhofer ITMPData ScientistMarch 2021 - October 2022 (1 year and 7 months)Hamburg, GermanyMissions:Use of LLM algorithms for automatic summarization of clinical documentsAggregate and clean data from various sources to obtain a consistent dataset using SparkExtraction, cleaning, and modeling of data from SQL databasesStatistical analyses and data visualizationSelection of explanatory variables using the AIC methodModel evaluation (Confusion Matrix; ROC; AUC)
- Institut Pasteur TunisData ScientistMarch 2020 - July 2020 (4 months)Use of NLP to extract results from Trials: Automation of the extraction of results and conclusions from clinical trial reports.Analysis of Side Effects: Identification and classification of side effects mentioned in clinical trial reports.
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Education
- Master 2, Public Health Master's degree option: Biostatistics, Biomathematics, Bioinformatics and HealthUniversité Claude Bernard Lyon 12021o Inférence fréquentiste et bayésienne, paramétrique et non paramétrique o Modèle linéaire généralisé et modèle de survie o Modèle linéaire et non linéaire à effets mixtes o Du modèle biologique au modèle statistique o Modélisation diagnostique et pronostique, qualité prédictive o Méthodologie statistique des essais cliniques o Analyse des données génétiques et génomiques en santé
- National Engineer's Diploma in Industrial BiologyInstitut National des Sciences Appliquées et de Technologie2020o Immunologie appliquée o Génie génétique/ enzymatique o Pharmacologie moléculaire o Next generation sequencing o Biotechnologie moléculaire o Biologie cellulaire et moléculaire o Valorisation des Bioressources o Biochimie moléculaire et métabolique
Certifications
- Databricks Certified Data EngineerDatabrciks