Ineb Rahim

I'm a Machine Learning & Deep Learning Engineer with over 1 year of hands-on experience in AI-powered solutions, data analysis, and predictive modeling. My work spans supervised learning (classification, regression), computer vision, and natural language processing (NLP), with a focus on building models that solve real-world problems.

• Eziline Software House Pvt Ltd (Nov 2023 – Feb 2024)
• Intern – Machine Learning & Deep Learning Engineer
• Developed and deployed predictive models for airline ticket price forecasting and spam email detection using NLP. Designed deep learning architectures (CNN, MobileNetV2, EfficientNetB0, VGG16) for brain tumor and pneumonia detection. Gained expertise in feature engineering, PCA, model optimization, and deploying AI models via APIs.
• IRZU, Slovenia (Mar 2022 – Apr 2023, Remote)
• Machine Learning & Data Science Trainee
• Conducted statistical analysis, data visualization, and exploratory data analysis using Python, R, and MATLAB. Applied machine learning techniques for data preprocessing, EDA, and model deployment.

• Programming: Python, JavaScript, R, MATLAB
• ML/DL Frameworks: TensorFlow, Keras, Scikit-learn
• Techniques: CNN, Transfer Learning, PCA, Clustering, Regression
• APIs & Deployment: Flask APIs, Model Deployment
• Domains: Healthcare (Tumor, Pneumonia), Travel (Airline Pricing), Communication (Spam Detection)