Egypt

***********-***********

adg4tr@r.postjobfree.com

https://www.linkedin.com/in/ahmed-nageh-0921b9128/ https://github.com/AhmedNageh08

AHMED NAGEH ABD-ELSALAM

EDUCATION: BSc in Electronics and communication Engineering, Tanta University 2017

WORK

EXPERIENCES:

-Data scientist at BrainWise(July 2020- ):

BrainWise is company mainly its projects with chatbots and live chat, build and deploy many other AI projects.

-Researcher at INNOTech company (2015-2017):

Participation in implementation of a model to predict epilepsy seizure using EEG signals

The link of the paper: https://www.ncbi.nlm.nih.gov/pubmed/26529783

-Leader of graduation project team: (2016-2017):

Operating Magic Mirror and Alexa voice service on raspberry pi 3

-Disaster Response Classifier:

Analyze disaster data from Figure Eight to build a model for an API that classifies disaster messages by creating a machine learning pipeline to categorize these events so that you can send the messages to an appropriate disaster relief agency. In the web app there's an emergency worker that can input a new message and get classification results in several categories. The web app will also display visualizations of the data.

Link: https://github.com/AhmedNageh08/Disaster_Response_Classifier

-Titanic Machine learning problem:

Use machine learning to create a model that predicts which passengers survived the Titanic shipwreck using passenger data (i.e. name, age, gender, socio- economic class, etc.)

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- Implement a Chatbot using Deep Learning and Natural Language Processing:

The Chatbot is implemented using a Seq2Seq model which is made up of 2 Recurrent Neural Networks (RNN's) namely the Encoder Recurrent Neural Network and the Decoder Recurrent Neural Network .The cell used in the RNN is LSTM

(Long Short-Term Memory).The Seq2Seq model is given a question in embedded form and its job is to correctly answer the question given as input .It uses the dataset of Cornell Movie Corpus data for training as well as testing where conversation are given in question and answer format. COURSES: > Programming with Python

> Machine learning

> Udacity Data Scientist Nanodegree

> Deep Learning with TensorFlow

> Chatbot with DNLP

> Rasa Masterclass: Developing Contextual AI assistants with Rasa tools

> Computer vision with python (OpenCV)

>Statistics and Probability

> Algorithms and Data Structures in Python

> Raspberry pi with Linux

> Data Mining with Weka

> Intro to Augmented Reality (AR)

> Cisco Certified Network Associate (CCNA)

> Computational Neuroscience

SKILLS: >Python

> Scikit-Learn

>TensorFlow (Keras)

>Pandas

>Numpy

>Matplotlib

>Build web app using Flask, Plotly and Bootstrap

>NLTK

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>Rasa tools

>OpenCV

>Matlab

>Git

>SQL

>Tableau

>COLAB

>Linux

>docker

>ngrok

>Nginx

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