Abdulrahman Mahmoud

Computer Vision & Deep Learning

Cairo 011******** admv4w@r.postjobfree.com

linkedin.com/in/abdo-shahat-499862181/ github.com/abdoShahat Junior in DL and ML specialist in computer vision with image processing, internship 8/2/2020 - 29/3/2020

INetwotk

training in Machine Learning

- web scraping and save it in MongoDB

- clean data

- create model with NLP

computer science 2017 - 2021

IT department

The best for me ( Deep fake - robotics play chess 'just software ') 1- game paper scissors rock ('Computer Vision') "nice and funny" description :- in this game you can play Paper Scissors Rock with computer, by a taken image from the webcam and print the winner ('simple GUI ') 2- Classification Fridge

description :- in this model, the classification between the content of the fridge with image

3- movie classification with poster film

description :- in this model, the user give me any poster of the film and I can classify the type of film ("action - drama - comedy )

4- JUMIA Clothes ('CV')

description :- in this model, i built a search engine by small database "i collect it ", user send me an image of products and I will show the best similar product of this image and all the info about its product

5- Diabetes classification

description :- in this model, I classify if the user has diabetes or not by using the given information

6- Gapminder

7- clothes with MINST

description :- in this model,I can classify the input image contain any clothes

- Python (Pandas,NUMPY,Matplotlib)

- Data Analysis

- Image processing

- Computer vision (OPEN-cv)

- Machine learning (Knn, SVM, LR)

- Deep learning

- Keras

- TensorFlow

- PyTorch

- SAP Machine Learning

- Flutter

- Web scraping ( Selenium,

BeautifulSoup )

Summary

Work experience

Education

projects

skills

Created with

8- job recommendation with 10800 employee data

description :- in this model, the user give me the title of the department and I will regression the type of work

9- automation for many web site like 'WUZZEF,egybest,Bugcrowed with BeautifulSoup and selenium.

description :- collect all data from the above website 10- Edge detection

description :- Ican detect the edge in any image or webcam by using ('canny', 'Sobel') 11- Face detection

description :- i can detect a face in an image of a webcam by using ("haar cascade") 12- object tracking

description :- i can track any object you need by using (Homography, camshaft ) 13- Extracting Features from an Image

description :- extract features from any image by using ('SIFT') 14-CNN_numbers_characters

description :- in this model, i can classify the input image, it contains the number or characters

1- Supervised Learning with scikit-learn (datacamp ) 2- Linear Classifiers in Python (datacamp )

3- Introduction to Deep Learning in Python (datacamp ) 4- Udacity computer vision nano-degree

5- pattern recognition

6- image processing

7- OPEN-CV

8- book (opencv_computer_vision_projects_with_python) 9- Advanced Data Analysis Nanodegree Program

10- Flutter

Courses

Contact this candidate