About 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.
Arabic
Native or bilingual
German
Basic
French
Native or bilingual
English
Fluent
Can work on-site
Paris (up to 50km)
Experience
- OCTO TechnologySenior Data ConsultantSeptember 2022 - Today (3 years and 9 months)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 ConsultantMarch 2020 - August 2022 (2 years and 5 months)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/EngineerApril 2017 - March 2020 (2 years and 11 months)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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Education
- 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