Amr Ashour

El-Seikh-Zayed, Egypt · 01115055052 · Jul-1995 · Amr.m.ashour27@gmail.com

Enthusiastic Data Scientist eager to contribute to team success through hard work, attention to detail and excellent organizational skills. Clear understanding of business intelligence tools, data modelling, data visualization, data mining algorithms to solve challenging business problems using SQL , Python , supervised and unsupervised learning . Motivated to learn, grow and excel in data science field.

Experience

Analytics University

Working as a freelancer by making videos about Python, Machine Learning, Deep Learning and Data Science.

March 2020 - April 2020

Graduation Project - Epsilon Institute

Predicting who will be able to repay the loan in time using various statistical and machine learning methods to make these predictions. Doing so will ensure that clients capable of repayment are not rejected and that loans are given with a principal, maturity, and repayment calendar that will empower their clients to be successful.

february 2020

Graduation Project - Cairo University

Trying to classify Age and Gender from dorsal hand veins pattern using computer vision and machine learning

May 2018

Education

Machine Learning Specialist

Epsilon Training Institute

Grade: Very Good

November 2019 - March 2020

Cairo University - Faculty Of Engineering

Bachelor of Engineering

Biomedical Engineering

Grade: Very Good

September 2013 - July 2018

Skills

Technical

Python

Libraries needed in Machine Learning (NumPy - Pandas - Sklearn - MAtplotlib – Seaborn)

Databases

SQL, PL/SQL, Data Modelling, Data Preprocessing, ETL, Data Pipelines, Data Warehouse, Business Intelligence Tools (SSIS), Oracle, Microsoft SQL Server, MySQL, Relational Database (RDBMS), Data Visualization, Tableau.

Machine Learning

Supervised Models: K-Nearest Neighbor (KNN) - Support Vector Machine (SVM) - Naive Bayes - Decision Tree - Random Forest
Unsupervised Models: K-Means Clustering - Hierarchical Clustering

Deep Learning

ANN, CNN, RNN, LSTM, Tensorflow, Keras, Hyperparameter Tuning

Model Selection

Precision & Recall for Classification - R2 Square & Mean Square Error for Regression

Computer Vision

Image Manipulation, Data Augmentation, Image Classification & Recognition, Face Detection.

Others

Parameter Tuning (GridSearchCV), Feature Engineering , Exploratory Data Analysis , Data Mining , GitHub ,Microsoft office , good statistics knowledge , Management

Practical

Quality work check , Analytical and data interpretation skills , problem solving skills , Drive projects with minimal guidance , challenge thinking and offering opinions , clear communication of results

Soft Skills

Excellent communication skills ( verbal , written ) , flexibility in work , Good listening skills , Work Under Pressure , fluent in English

Courses

ITI

Introduction to deep learning - Python Programming Basics

Courera

Mathematics for Machine Learning Specialization (3 Courses) - Introduction to Data Science in Python - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization - Neural Networks and Deep Learning - A Crash Course in Data Science – (Computer Vision - Image Basics with OpenCV and Python) – (Computer Vision - Object Detection with OpenCV and Python)

IBM Badges

Machine Learning with Python (1 Course) - Python for Data Science (3 Courses) - Applied Data Science with Python (3 Courses)

Cognitive Class

Data Visualization with Python - Data Analysis with Python - Machine Learning (Dimensionality Reduction) - SQL & Relational Databases

TeraCourses

Communication Skills - SQL - HTML - CSS - Python (OOP)

American University in Cairo (AUC)

Management Program