À propos de Nidhal
I am a multi-skilled Data Consultant who couples business sense and ingenuity. I hold a masters in Data Analytics and I am passionate about turning data into products, valuable insights, and meaningful stories. I am always eager to learn new Data Engineering and Machine Learning techniques and grasp the industry best practices in solving data-driven problems.
I enjoyed contributing so far to data projects in different business sectors like banking, insurance, hospitality, and energy. During these projects, I worked on a variety of use cases like : data analysis and modeling, design and setup of cloud data architectures, implementation of ETL and predictive pipelines, helping clients with data governance and building reports/dashboards, etc.
Here's a non exhaustive list of my technical skills :
- Methods: EDA, ETL, Data Scraping/Cleansing, Predictive Analytics, Clustering, Time Series, Deep Learning
- Programming: Python, PySpark, SQL, R, Shell, Java
- Analytics/Data Viz: PowerBI, Jupyter, Alteryx, Dataiku, MS Fabric
- Cloud/Big Data: AWS, Azure, Kafka, Snowflake, Hadoop (MapReduce), Spark, Cassandra, Hive
- DevOps: Git, Terraform, Github Actions, Docker, Ansible
I love to broaden my professional network. Reach out if you want to collaborate.
Arabe
Bilingue ou natif
Allemand
Notions
Français
Bilingue ou natif
Anglais
Capacité professionnelle complète
Accepte de travailler sur site
Paris (jusqu’à 50 km)
Expériences
- OCTO TechnologySenior Data Consultantseptembre 2022 - Aujourd'hui (3 ans et 9 mois)Paris, France[Allianz]
- Helped the business teams map and evaluate their SAS analytics programs and tables
- Migrated two pilot analytics pipelines from SAS to Azure Synapse & Power BI
Tools : SAS, Azure Synapse, PySpark, Power BI[TotalEnergies Digital Factory]- Participated in the framing of data use cases in 3 projects (C-Track, POI Finder, Job Suite)
- Participated in the design of tailored cloud architecture for data ingestion and valorisation
- Created data models (Conceptual, Logical, Physical)
- Collected and analyzed business data ingestion rules
- Implemented data pipelines (ETL) for Batch, API (Pull/Push) or Events consumption
- Implemented tests and wrote technical documentation
- Setup data quality checks
- Setup CI/CD workflows
- Automated and monitored pipelines executions
- Participated in the transfer of projects to RUN teams
Tools: AWS, Azure, Python, SQL, Terraform, Docker, Github Actions, Data Galaxy, Kafka, PostgreSQL, SQL Server, OpenAPI - OnePointData Consultantmars 2020 - août 2022 (2 ans et 5 mois)Paris, France[Accor Hotels]
- Developed data pipelines to feed the different layers of Snowflake One Data Platform
- Enriched the data models in ODP
Tools: Snowflake, SQL, Terraform, Privitar, Talend, Gitlab[BNP Paribas]- Collected and specified the functional controls to run on clients' data after the migration
- Implemented the controls in an Alteryx workflow
- Tested, documented et delivered the controls results that will be used to remedy the detected anomalies
Tools: Alteryx, Excel, SQL[BNP Paribas]- Helped the operational teams in documenting and modeling their data assets (Applicative data and flows dictionaries/models)
- Created monitoring dashboards and analysis reports for data management activities (Data catalogs completeness & quality, Data quality controls for applications' reference system, etc.)
Tools: Power BI, Excel, SharePoint, StarUML[Groupe BPCE]- Developed a pipeline for collecting, cleaning, and consolidating geographical and climatic data
- Implemented climatic risk indicators and estimations of potential economic impacts
Tools: Python, Azure, GeoJSON, OpenStreetMap, Anaconda, Gitlab - AuxiviaData Scientist/Engineeravril 2017 - mars 2020 (2 ans et 11 mois)Paris Metropolitan Area, France
- Preprocessed and analyzed IoT/Motion Data (Accelerometer, Gyroscope, Ultrasonic, BLE)
- Built and optimized Machine Learning models (Time Series, Classification, Anomaly Detection)
- Set up and maintained Big Data processing/storage infrastructure
- Anonymized health data in compliance with CNIL/RGPD regulation
- Built monitoring dashboards and communicated valuable insights
Tools : Python, SQL, Shell, Kafka, Cassandra, Azure, Ansible, Docker, Jupyter, D3.js, Superset, Bitbucket
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Formations
- Master of ScienceBowling Green State University2016Master of Science (M.S.), Analytics
- Engineer's degree, Software EngineeringNational Institute of Applied Science and Technology2015Engineer's degree, Software Engineering
Certifications
- Microsoft Certified: Fabric Data Engineer AssociateMicrosoft2025