مكتب الوثائق

ملف من قاعدة السير الذاتية

العربية
العودة إلى قاعدة السير الذاتية

ملف المترشح تمّ دمج 2 بطاقات (الشخص نفسه)

التصنيف
المنصب
Data analyste
المهنة
ذكاء الأعمال وتحليل البيانات
قطاع النشاط
تكنولوجيا المعلومات وشركات الخدمات الرقمية مصرّح به
المصدر
ترشيح مستلم
الخبرة
—
المهارات
C++, CSS, FastAPI, GitHub, HTML, Java, JavaScript, MongoDB, NoSQL, NumPy, Pandas, Power BI, PyTorch, Python, REST API, SQL, Scikit-learn, TensorFlow
الهوية وجهات الاتصال

يجب أن تكون مشتركاً للاطلاع على اسم هذا الملف وبيانات الاتصال به.

الموقع
الدار البيضاء
المنشأ
Candidature ai.nextdata.ma
تاريخ الإيداع
03/05/2026
سيرة ذاتية مجهولة الهوية

سيرة ذاتية أُخفيت هويتها آلياً: حُذف الاسم وبيانات الاتصال والروابط. العبارات بين معقوفتين تعوّض معلومة محذوفة.

NextData
سيرة ذاتية مجهولة الهوية
ND-CV-0B24E2DB

ذكاء الأعمال وتحليل البيانات

الدار البيضاء الهوية وبيانات الاتصال تقدمها NextData

[nom]

AI & DATA Engineer

Tel : [téléphone] Email : [e-mail] · Linkedin : [lien]

[nom]

AI & Data Engineer Intern (On-site) · Feb 2025 – Jul 2025

Atlantic smart technology · Kenitra,Morocco

  • Designed and developed an intelligent tourism recommendation system using NLP to analyze user preferences and tourism-related queries.
  • Utilized a tourism dataset (points of interest, destinations, user preferences, descriptions) for model training, validation, and recommendation generation.
  • Implemented Large Language Models (LLMs) (Mistral, Qwen, LLaMA) via Hugging Face and integrated RAG (Retrieval- Augmented Generation) to enhance the relevance and accuracy of personalized tourist recommendations.
  • Performed data preprocessing, cleaning, and feature extraction from the dataset to improve model performance.
  • Designed and integrated an interactive user interface using Gradio, HTML, CSS, and JavaScript to provide seamless access to recommendations.

AI Engineer Intern (On-site) · Jul 2024 – Sept 2024

Verve Technology · Casablanca,Morocco

  • Designed and developed an energy disaggregation system using Non-Intrusive Load Monitoring (NILM) techniques to analyze total household energy consumption and predict appliance-level usage.
  • Utilized the REDD dataset for model training, validation, and testing, including preprocessing and handling missing or noisy data.
  • Implemented machine learning and deep learning models (LSTM, CNN, GRU) to perform accurate load disaggregation for multiple appliances.
  • Fine-tuned and evaluated models to enhance disaggregation accuracy, energy prediction reliability, and system usability.

Software Engineer Intern (On-site) · Apr 2023 – may 2023

I soft Network · Kenitra,Morocco

  • Developed and deployed websites using HTML, CSS, JavaScript, and WordPress, customizing designs and functionalities according to client requirements.

EDUCATION

Master’s Degree in Artificial Intelligence | Ibn tofail University · 2023-2025 | Kenitra

  • Key Courses & Skills: Machine learning,Deep learning,Natural Language Processing (NLP), Big Data & Cloud Computing, Business Intelligence, Software Development, Data Science, Computer Vision, Project Management, image processing.

Bachelor’s Degree in Mathematics and Computer Science | Ibn tofail University · 2019-2023 | Kenitra

  • Key Courses & Skills: Programming, Algorithms, Statistics,Mathematics Data Analysis, Databases, Software Development

PROJECTS

AI Chatbot for Customer Support (Mini Project) | Python, GPT API, FastAPI, Gradio, HTML/CSS/JavaScript.

  • Developed a customer support AI chatbot to answer FAQs for websites and businesses using OpenAI GPT API.
  • Implemented conversation logging and analytics to track user interactions and improve response quality.
  • Built a simple and interactive web interface using Gradio and FastAPI for real-time chat.
  • Applied NLP techniques for natural language understanding and leveraged zero-shot responses from GPT for minimal dataset requirements.

Facial Emotion Recognition (Academic Project)

  • Developed data collection and preprocessing pipelines for facial emotion datasets, including image normalization, augmentation, and feature extraction.
  • Built a facial emotion recognition system for detecting emotions such as happiness, sadness, anger, and surprise using CNN, RNN, and attention-based models, implemented with TensorFlow, PyTorch and OpenCV.

Credit Card Fraud Detection (Academic Project)

  • Developed a credit card fraud detection system using machine learning models.
  • Performed data preprocessing, including handling missing values and encoding categorical variables.
  • Implemented and compared models such as RandomForestClassifier, LogisticRegression, and DecisionTreeRegressor to predict fraudulent transactions.

SKILLS

  • Machine Learning & Deep Learning: Supervised, Unsupervised & Time Series models, Feature Engineering, Model Evaluation, Scikit-learn, TensorFlow, PyTorch,OpenCV,PaySpark,NILMTK CNN, RNN.
  • Data Engineering & Analytics: ETL/ELT pipelines, Data Cleaning & Preprocessing, Data Architecture , SQL/PLSQL,NoSQL (MongoDB), Web Scraping, Power BI, Excel, Pandas, NumPy, Matplotlib, Seaborn, Plotly ,Tableau.
  • Generative AI & LLMs: Prompt Engineering, LLM,RAG,NLP, LangChain ,Fine-tuning
  • Programming & Web Development: Python, REST APIs,C, Java, C++,JavaScript, HTML/CSS,React.
  • Methodologies & Tools: UML, Agile(scrum), Design Thinking,GitHub,n8n,Jupyter, Anaconda, PyCharm,VS CODE,Notion.
  • Soft Skills: Analytical & Problem-Solving Skills, Teamwork & Collaboration, Adaptability, Creativity,Rigor Autonomy, Time Management.
  • Languages: Arabic (Native), English (Professional), French (Professional).

CERTIFICATIONS

  • Python for Data Science, AI, and Development – Coursera
  • Artificial Intelligence Certification – Agora Bootcamp,Ibn tofai University
  • Introduction to Model Context Protocol - Anthropic
سيرة ذاتية مجهولة الهوية تقدمها NextData · سري · contact@nextdata.ma ND-CV-0B24E2DB

للتواصل مع صاحب هذا الملف، اذكر المرجع ND-CV-0B24E2DB: contact@nextdata.ma

الإضافة إلى نظام الوثائق

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