Ibrahim H. Yassin

Self-motivated engineer - Passionate learner ,someone who wishes to use modern tools to solve environmental and healthcare problems, to make change to the world. I have a comprehensive understanding with AI topics that include machine learning, deep learning, and reinforcement learning. Seeking opportunities in artificial intelligence field that provides opportunity for career development and broad-based academic career.

Programming Languages: Python , SQL , Java (Basic) , C++ (Basic)

Software & Libraries : TenserFlow / Keras , OpenCV, Scikit Learn , Tableau , Pandas , Seaborn

Database: MySQL , MongoDB , Spark , Hadoop

Machine Learning: Feature engineering , Regression , Classification , Unsupervised Models , Computer vision

Convolutional Neural Networks, Transfer Learning , Natural Language Processing , Reinforcement Learning

Data Analysis: Descriptive Statistics, Hypothesis Testing , Data Cleaning and Data Visualization

Data Analysis Professional – Nanodegree Program – Udacity

1) Abnormal Crowd Behavior Detection

The project divided into two main phases:

1. Develop a model can detect and localize all Human locations within an image/frame.

2. Extract & Classify the abnormal behavior of the crowd in a given video sequence (Near real time accident reporting)

2) Arabic Handwritten Characters Recognition

recognize handwritten Arabic characters using CNN (Keras ) and reached accuracy of 0.99%.

3) Image Alignment & Facial Key point detection

Performing basic image operations using sikit learn & OpenCV and training a CNN to solve facial key point regression problem

4) Industry Classification - Job title classification

Create a ML model to to classify job titles based on the industry using NLP techniques.

5) Seoul Bike Rental Prediction

Predict the required number of bikes for rental given information about the weather and time of the day, Time series Machine Learning problem