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Qualification
Poste
Data Scientist / Ingénieur IA
Métier
Data & intelligence artificielle
Secteur d'activité
Distribution & Commerce déclaré
Origine
Candidature reçue
Expérience
—
Compétences
Ci/Cd, Python, SQL, Machine Learning, Azure
Identité et contact

Vous devez être abonné pour voir le nom et les coordonnées de ce profil.

Localisation
Casablanca
Source
Candidature ai.nextdata.ma
Déposé le
18/06/2026
CV anonyme

CV anonymisé automatiquement : nom, coordonnées et liens retirés. Les mentions entre crochets remplacent une information retirée.

NextData
Curriculum vitae anonymisé
ND-CV-ABFF52F6

Data & intelligence artificielle

Casablanca Identité et coordonnées communiquées par NextData

[nom]

[e-mail] | [téléphone]

LinkedIn : [lien] [nom]

Summary · AI Data Engineer at Oracle and a PhD student in Artificial Intelligence. Proven expertise in designing

scalable data pipelines, analyzing and processing big data, and benchmarking Large Language Models

(LLMs). Skilled in Python, SQL, OCI, and GCP.

Experience

Oracle · Jul 2024 – Present (1 y 11 m)

AI Data Engineer · Agadir

  • Designed and developed scalable data pipelines and applications, migrating large datasets to Oracle databases.
  • Benchmarked large language models on migrated datasets to evaluate performance and ensure data quality.
  • Tools and Technologies: Python, SQL, MCP, RAG, AI, OCI, BigQuery, Snowflake, Pytorch, LLms, Oracle ADB.

SEGULA Technologies · May 2024 – Jul 2024 (2 m)

Data & AI Engineer Lead for Stellantis · Casablanca

  • Managed, reviewed, and analyzed customer requirements to design tailored AI solutions.
  • Performed large-scale data preprocessing, manipulation and visualization to support business decisions.

→ Selected Project: Sequence-to-Sequence Time Series Model

  • Collected and integrated time-series data from multiple sources (Excel, CSV, SharePoint), creating a unified dataset for modeling.
  • Built a Python pipeline to extract and preprocess raw files (interpolation, normalization, input-output mapping).
  • Defined and implemented a sequence-to-sequence architecture for predictive modeling, achieving 80% improvement in forecast accuracy.
  • Tools and Technologies: Databricks, Snowflake, Datalab, Python, Pandas, Jupyter, JSON, Git, Excel, Power BI.

ALTEN Delivery Center · Dec 2022 – Apr 2024 (1 y 5 m)

Data Scientist for Stellantis · Rabat

→ Project Management and Analysis:

  • Successfully managed, reviewed, and analyzed diverse customer requirements, ensuring precise understanding and alignment.

→ Data Science Development and Visualization:

  • Developed Jupyter notebooks for efficient calculation of Key Performance Indicators (KPIs).
  • Utilized PySpark and Pandas for effective data manipulation and created visually appealing Power BI reports.

→ Computer Vision for Automotive Automation Projects:

  • Led a project focused on automating automotive systems evaluation using a variety of technologies (Python, Pandas, OpenCV, Jupyter).
  • Implemented real-time analysis of driving video, enhancing the decision evaluation for CAN systems.
  • Transformed data outputs into valuable time-series information, facilitating informed decision-making processes.
  • Fine-tuned YOLOv8 and YOLOv9 architectures for object detection, achieving robust localization of license plates and faces. Validated performance through mAP (mean Average Precision), IoU-based matching, precision, recall, and confusion matrix analysis to ensure real-world reliability (dataset labeling done using the Deepomatic platform).

→ Natural Language Processing (NLP) and Efficiency Improvement:

  • Implemented a highly effective deep learning solution for automatic verbatim classification (created a consolidated dataset by merging historical Excel files and applying feature engineering with stakeholders, addressed class imbalances by merging sparse target classes and utilizing augmentation techniques (e.g., back-translation, synonym replacement) to reach the goal of 1,000 observations per class).
  • Significantly reduced manual classification time, leading to a 70% increase in team productivity.

→ Analytics Studies and Optimization:

  • Conducted impactful sensitivity studies to optimize field of vision parameters and blurring thresholds.

→ Collaboration and Innovative Solutions:

  • Designed and deployed innovative applications to enhance data collection and team collaboration (created a PowerApps application for drivers to report issues during testing, which are automatically saved to a SharePoint list, and we developed an Excel macro to sync this up-to-date data into existing team files, allowing them to continue using their familiar workflows).
  • Tools and Technologies: Python, PySpark, OpenCV, JSON, Hadoop, Oracle Database, PowerBI, Excel VBA, Pytorch, Tensorflow, PowerApps, SharePoint, Power Automate.

Société ROUANDI · Sep 2022 – Dec 2022 (3 m)

Full-stack Developer · Marrakech

  • Developed multiple web applications, including a mission-order management system and a real-time news platform using Spring Boot, Spring Security, Java, and Angular.
  • Built a time-and-attendance app integrating external APIs for biometric data, working-hour calculations, and Excel reporting (Python, Pandas, Streamlit).
  • Designed and deployed a static company website using WordPress and Divi Builder

INDATACORE · Feb 2022 - Jul 2022 (6 m)

Data science Intern · Casablanca

  • Developed a deep learning solution to detect and extract handwritten amounts from scanned bank checks by detecting words, cropping, recognizing text, and reconstructing the full amount.
  • Optimized the pipeline to achieve 0.2 s per check, enabling near real-time processing.
  • Designed and evaluated an anti-spoofing detection model using deep one-class learning and binary classification approaches.
  • Tools and Technologies: Python, Pandas, NumPy, Scikit-learn, OpenCV, Pytorch, Streamlit, Vs code.

Education

PhD: National School of Applied Sciences of Tetouan · Tetouan

Artificial Intelligence · 2024 - Present

Master's degree: Faculty of sciences and techniques, Cadi Ayyad University · Marrakech

Data science and decision support · 2020 - 2022

Bachelor's degree: Faculty of sciences and techniques, Cadi Ayyad University · Marrakech

Distributed computer system · 2019 - 2020

DEUST: Faculty of sciences and techniques, Cadi Ayyad University · Marrakech

Mathematics, computer science, physics, chemistry · 2017 - 2019

SKILLS

AI · ▪ · Specializations: Natural Language Processing (NLP), Computer Vision

Machine Learning · (CV), Large Language Models (LLM), Transformer Models, OCR

  • Frameworks & Libraries: Pytorch, Tensorflow, OpenCV, Pandas
  • Tools: Ollama, Claude Code, Codex, Copilot

Data Engineering · ▪ · Cloud Providers: GCP, Microsoft Azure, OCI

Cloud Platforms · ▪ · Data Platforms: Databricks, Snowflake

  • Data Orchestration: Airflow, PySpark
  • Databases: Oracle Autonomous Database, BigQuery, SQLite, MySQL Business Intelligence · ▪ · BI & Visualization: Power BI, Streamlit, Matplotlib, Seaborn Application Development · ▪ · Microsoft Power Platform: Power Apps, Power Automate, Power Query, SharePoint
  • Low-Code: Oracle Apex

Programming · ▪ · Languages: Python, JAVA, SQL

Development · ▪ · Web Development: Spring Boot, Spring Security, Angular, Flask,

FastAPI

  • DevOps & Tools: Git, GitHub, GitLab, JIRA, Terraform Soft Skills · ▪ · Critical Thinking
  • Adaptability & Resilience Under Pressure
  • Autonomous Work & Proactive Self-Management
  • Effective Multitasking & Prioritization
  • Rapid Learning & Information Retention
  • Technical Documentation & Stakeholder Presentation

Languages

  • English Full Professional Proficiency · ▪ · Tamazight · Native
  • French Full Professional Proficiency (DELF B2 certification 2023) · ▪ · Arabic · Native

Certifications

Data science · SoloLearn · [lien]

Machine Learning · Kaggle · [lien]

Python · Kaggle · [lien]

JavaScript · SoloLearn · [lien]

Academic Projects

Cadi Ayyad University · May 2021 – June 2021

Chatbot application · Marrakech

  • Built a chatbot application designed to answer any question about machine learning mainly, and to assist a user in simple everyday questions.
  • Tools and Technologies: Deep Learning, Tensorflow, Tkinter.

Cadi Ayyad University · May 2021 – June 2021

Sentiment Detector, face recognition and chatbot. · Marrakech

  • Developed a Chatbot that interacts with the identified person based on his detected feeling, by launching three models at the same time, the first two models are made to detect and to recognize the person in front of the camera, and the last one is created to identify their sentiment.
  • Tools and Technologies: Deep Learning, Tensorflow, Opencv.

Volunteering

Oracle · Casablanca

Oracle Morocco Ambassador · Oct 2024 - Present

GDSC Cadi Ayyad University · Marrakech

Organization Lead and Content Lead · Aug 2021 - Dec 2021

CLUB SDAD · Marrakech

Vice president · Mar 2021 - Nov 2021

RUMI Social Club · Marrakech

Member & HR responsible · Oct 2019 - Apr 2023

Interests and Hobbies

  • Computer science
  • Writing
  • Football
CV anonymisé présenté par NextData · Confidentiel · contact@nextdata.ma ND-CV-ABFF52F6

Pour être mis en relation avec ce profil, indiquez la référence ND-CV-ABFF52F6 : contact@nextdata.ma

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