hello

Hello!

I’m Diouane Abdallah

Data Engineer, Data Scientist & python developer.

Hello! I’m Diouane Abdallah.

My passion for information technology (IT) had led me to thoroughly study the field of artificial intelligence, data science and big data. After working on many projects, I realized that these areas matched my skills perfectly. I am passionate about new technologies and actively seek new ones to improve myself. I am curious, active, patient, hardworking and always looking for new opportunities.

Age:
24
Email:
diouaneabdallah@gmail.com
Phone:
+212608042783
Staus:
Available
Walter Patterson

My Education

A short Intro to my Education.

Ibn Zohr university, Agadir

Ibn Zohr university, Agadir

Master degree, Data Science
2018 – 2020
Ibn Zohr university, Agadir

Ibn Zohr university, Agadir

Bachelor’s degree, software engineering
2015 - 2018
El wahda high school, Tiznit

El wahda high school, Tiznit

baccalaureate degree, Mathematical Sciences A
2012 - 2015

My Projects

Analysis of road scenes based on deep learning

Analysis of road scenes

Application to the detection and recognition of traffic signs.

Used tools : Python, Tensorflow, MaskRCNN...

Establishment of a distributed processing and storage system

distributed processing and storage system

Distribute the training of a deep learning model on a cluster.

Used tools : Java, Spark, Hadoop, Mlib...

Construction of a Data WareHouse.

Data WareHouse

Analyze sales on a daily, monthly and annual basis.

Used tools : Talend, Birt, SQL, Oracle.

CNN-LSTM model for the calculation of aging factor.

CNN-LSTM model

Estimate of actual age and apparent age.

Used tools : Python, Tenserflow, CNNs et LSTMs

E-commerce web application.

E-commerce web application

Used tools : Python, Django, HTML5, CSS3, BOOTSTRAP, MySQL.

Web application for project management and bug tracking.

bug tracking

Used tools : JAVA2E, HTML5, CSS3, BOOTSTRAP, MySQL

Sudoku solver

Sudoku solver

sudoku solver using the backtracking algorithm.

MFC Application for Contracts management

Contracts management

Used tools : C++, MFC...

cats vs dogs classifier

cats vs dogs

Build and train a convolution neural network for classifying images of Cats and Dogs.

Used tools : Python, Tenserflow, Keras

MNIST digits Autoencoder in Keras

MNIST digits

Autoencoding is a data compression algorithm where the compression and decompression functions are data-specific, lossy, and learned automatically from examples rather than engineered by a human.

My Skills

python
Python
Machine Learning / Deep Learning
Machine Learning / Deep Learning
Tensorflow
Tensorflow Library
Keras
Keras Library
NumPy Library
NumPy Library
Pandas Library
Pandas Library
Scikit-Learn library
Scikit-Learn library
Java
Java
SQL
SQL
Git
Git
Hadoop
Hadoop
spark
Spark
Microsoft Power BI
Microsoft Power BI
Talend
Talend
Tableau
Tableau
ElasticSearch
ElasticSearch
Kibana
Kibana
Linux
Linux