Chaima Dahri
Data Scientist Intern
Experience
Data Scientist Intern
Marelli Automotive Lighting
- Developed and deployed a deep learning model for automated keypoint detection in headlamp light distributions.
- Prepared and processed datasets, and selected VGG16 after benchmarking CNN architectures for the best accuracy efficiency trade-off.
- Delivered a Flask REST API, containerized with Docker, and integrated the solution into an existing internal system, enabling automated and efficient evaluation of headlamp designs.
Knowledge-Based Recommendation System for Project Risk Management
- Developed a graph-based recommendation system for project risk identification, achieving 90% accuracy in risk prediction.
- Leveraged Python, NLP, and Graph Neural Networks to model project relationships and enhance predictive accuracy.
- Applied machine learning techniques for classification and utilized Apache Spark for handling large datasets.
Data Scientist Intern
Adeekt
- Designed and deployed a customer relations chatbot using GPT-3.5 via the OpenAI API, enabling natural interactions and reducing repetitive queries.
- Integrated Redis for low-latency, real-time data handling to ensure smooth live user experiences.
- Containerized the solution with Docker, enabling scalable and environment-independent deployment across production systems.
Be Secure
- Engineered an automated detection system for phishing email attacks, achieving 91% accuracy and reducing phishing attempts.
- Utilized Python and Scikit-learn for machine learning algorithms and incorporated NLP for email content analysis.
- Developed the system with Django for web application functionality, Docker for containerization, and MongoDB for secure data storage.
Data Science & Full-Stack Development Intern
Vitalait
- Developed a full-stack supply chain management application using Symfony 5 and MySQL, covering production tracking, processing, distribution, inventory, and quality control.
- Improved production planning by adding an ARIMA forecasting model that used historical and seasonal demand patterns, resulting in 15% more accurate demand predictions.
- Applied Agile methodologies, improving project completion speed through iterative development, sprint planning, and regular feedback.
Yoga Pose Detection
- Developed a Convolutional Neural Network (CNN) model to classify yoga poses, achieving 95% accuracy.
- Leveraged Computer Vision, PyTorch, OpenCV2, TensorFlow, and Keras for building a robust and efficient image classification system.
- Applied advanced deep learning techniques to autonomously detect and classify various yoga poses from images.
Chronic Kidney Disease Detection (CKD)
- Developed a predictive model to expedite the diagnostic timeline for CKD, achieving 96% accuracy in early-stage detection.
- Utilized Python and applied various machine learning algorithms including KNN, SVM, AdaBoost, Logistic Regression, and XGBoost.
- Focused on data-driven healthcare solutions to enhance early detection and improve medical decision-making.
Industry Experience
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Experienced in Information Technology, Automotive, and Food and Beverage.
Business Area Experience
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Experienced in Information Technology, Product Development, Business Intelligence, Operations, Quality Assurance, and Supply Chain Management.
Summary
Data Scientist and Machine Learning Engineer with expertise in machine learning, deep learning, and natural language processing. Experienced in developing and deploying AI solutions, with international academic and professional experience.
Skills
- Programming & Data Science — Python, R, Sql, C++, Java, Flask, Machine Learning, Deep Learning, Nlp, Llm
- Frameworks & Tools — Tensorflow, Pytorch, Scikit-learn, Pandas, Numpy, Matplotlib, Opencv2, Docker, Apache Spark, Mysql, Mongodb, Redis, Oracle Db, Git, Microsoft Office
- Soft Skills — Teamwork, Problem Solving, Agile Project Management
Languages
Education
Hochschule Schmalkalden - University of Applied Sciences
Engineering Degree in Computer Science - Data Science (Exchange Year) · Computer Science - Data Science · Schmalkalden, Germany
Higher School of Engineering and Technology (ESPRIT)
Engineering Degree in Computer Science - Data Science · Computer Science - Data Science · Tunis, Tunisia
Higher School of Science and Technology (ESSTHS)
Bachelor's Degree in Information and Communication Sciences · Information and Communication Sciences · Sousse, Tunisia
Certifications & licenses
Applications Of AI For Anomaly Detection
NVIDIA
Building Transformer-Based Natural Language Processing Applications
NVIDIA
Statistics
Experience
Global Experience
Expertise
Qualifications
Profile
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