INEB RAHIM
-
www.linkedin.com/in/ineb-rahim
-https://github.com/Inebrahim
Rawalpindi
https://linktr.ee/inebrahim
Personal Profile
Machine Learning & Deep Learning enthusiast with expertise in predictive modeling, data analysis, and AI-driven
solutions. Skilled in Python, TensorFlow, Keras, and API development for real-world applications.
Education
FOUNDATION UNIVERSITY, SCHOOL OF SCIENCE & TECHNOLOGY
Masters in Artificial Intelligence
INTERNATIONAL ISLAMIC UNIVERSITY
Bachelors in Computer Science
Professional Experience
EZILINE SOFTWARE HOUSE
Rawalpindi, Pakistan
2023 - 2025s
Islamabad, Pakistan
2017 - 2021
Rawalpindi, Pakistan
A software company specializing in machine learning and deep learning solutions.
Machine Learning/Deep Learning Intern
Dec 2023 – Feb 2024
● Predictive Analytics: Developed AI models for Airline Price Prediction (regression), Spam Detection(NLP).
● Computer Vision Solutions: Created deep learning models for brain tumor classification (CNN, Transfer
Learning with MobileNetV2, EfficientNetB0, VGG16) and pneumonia detection using CNN.
● Workflow Optimization: Optimized ML workflows (ETL, EDA, feature engineering, PCA, preprocessing).
INSTITUTE FOR RESEARCH ON SOUND ARTS (IRZU INSTITUTE) - Remote
Koper, Slovenia
A research institute focused on acoustics, biofeedback, and human-computer interaction.
Machine Learning/Deep Learning Intern
Mar 2022 – Apr 2023
● Data Engineering & Analysis: Conducted statistical analysis & data engineering(Python, R, MATLAB, SQL)
● Data Optimization: Worked with large datasets (wrote SQL for data retrieval, filtering, & aggregation)
● Model Performance Improvement: Feature engineering & optimization techniques to enhance models.
Projects
● Brain
Tumor
Classification
with
Deep
Learning
Technologies: Python, CNN, Transfer Learning, TensorFlow, Keras, PyTorch, Scikit-learn, OpenCV
Developed and optimized CNN-based models (VGG16, EfficientNetB0, MobileNetV2) for accurate MRI brain
tumor classification.
● Pneumonia
Detection
from
Chest
X-Ray
Images
Technologies: Python, CNN, NumPy, Pandas, ROC AUC, Computer Vision, Image Processing
Trained a CNN model to accurately detect pneumonia from chest X-ray images.
● Airline
Ticket
Price
Prediction
Technologies: Python, ML, DL,Predictive Modeling, Random Forest, Gradient Boosting, TensorFlow, Keras
Built and optimized regression models for predicting airline ticket prices.
● Spam
Email
Classification
Using
NLP
&
Machine
Learning
Technologies: NLP, ML, KNN, SVC, Decision Trees, Logistic Regression, Pandas, NumPy
Developed and compared multiple machine learning models for effective spam email detection.
● Restaurant
Management
API
Technologies:
API
Development,
PostgreSQL,
Real-Time
Data
Handling,Endpoints
Designed and optimized a scalable API for managing restaurant operations with real-time data and PostgreSQL
integration.
Skills
●
●
Programming: Python, JavaScript, R, OOP.
Machine Learning & AI: TensorFlow, Keras, PyTorch, Scikit-learn, NLP, Deep Learning, Transfer Learning,
CNN, RNN, GAN, LSTM, NLP, Machine Learning, PyTorch.
● Backend Development: Flask, PostgreSQL, SQL, API Development
● Tools: Jupyter Notebook, Google Colab, VS Code, GitHub, Pycharm, MATLAB
● Interests: Data Science, Machine Learning, Deep Learning Computer Vision,NLP and Cloud Computing.
