Mohamed H. Profile

5,0

(9 recenzii)

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Adresa de e-mail a fost confirmată.

$20 USD/oră

port said,

egypt

$20 USD/oră

Momentan, aici e ora 9:30 a.m.

S-a înregistrat pe octombrie 2, 2021

0 Recomandări

Mohamed H.

@hedeya1980

5,0

(9 recenzii)

3,8

100%

$20 USD/oră

port said,

egypt

$20 USD/oră

100 %

Proiecte finalizate

100 %

Conform bugetului

100 %

La timp

25 %

Rata de angajare repetată

Computer Engineer | Data Scientist

I'm a Data Analyst, Machine Learning Engineer, and Sensor Fusion Engineer with more than two years of coding experience with the following skills: • Python and C++ • Pandas and NumPy • Matplotlib, seaborn, Tableau • Data wrangling and professional EDA • Machine learning with Sklearn, TensorFlow, and Keras • Working with LiDAR, and camera sensors • OpenCV and PCL I worked on several Machine Learning, Data Analysis, and Data Visualization Projects such as: • MIO-TCD Vehicle Type Classification using Tensorflow and Keras • Pavement-Distress Detection (YOLO detector) • LiDAR Obstacle Detection • Analyze A/B Test Results • Finding Donors for CharityML In addition, I'm currently a PhD. researcher at the Electrical Engineering department in Port Said University. My research interests include Computer Vision and Machine Learning.

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Portfoliu

This article is meant to communicate the data analysis results to non-technical audience.
This is the article's link: https://medium.com/@hedeya1980/data-analysis-of-airbnb-datasets-boston-vs-seattle-dd7410a27e3f

Article on medium.com : Data Analysis of Airbnb Datasets

In this TTC project, I implemented four major tasks:

* First, I developed a way to match 3D objects over time by using keypoint correspondences.
* Second, I computed the TTC based on Lidar measurements.
* I then proceeded to do the same using the camera, which requires to first associate keypoint matches to regions of interest and then to compute the TTC based on those matches.
* And lastly, I conducted various tests with the framework. My goal was to identify the most suitable detector/descriptor combination for TTC estimation and also to search for problems that can lead to faulty measurements by the camera or Lidar sensor.

Sensor Fusion, Time-to-Collision (TTC), 3D Object Tracking

In this web app, I deployed an NLP (Natural Language Processing) model. The user enters a message and a genre, and the model classifies the entered message using a multi-output classifier.

In addition, the web app contains 3 plotly visualizations.

The web app is up and running at: https://hedeya-disaster-response-app.herokuapp.com/

The web app was developed using Python + Bootstrap + plotly + Flask

Disaster Response Web App

I developed this web app using pandas + bootstrap + plotly + flask.
It displays a dashboard consisting of charts illustrating data from the World Bank datasets.
The webapp is up and running at: https://worldbank-webapp.onrender.com/

Web App: World Bank Dashboard

In this notebook, I did the following:
* Data cleaning
* Model selection/training
* Model optimization

Price Prediction of Airbnb listings

In this notebook, I performed the first 2 steps of the ETL (Extract, Transform, Load) pipeline.

The notebook addresses the following:
* Data extraction
* Exploratory data analysis
* Basic data cleaning
* Feature engineering

ETL preparation: Extraction, Cleaning, Feature Engineering

Article on medium.com : Data Analysis of Airbnb Datasets

Sensor Fusion, Time-to-Collision (TTC), 3D Object Tracking

Disaster Response Web App

Web App: World Bank Dashboard

Price Prediction of Airbnb listings

ETL preparation: Extraction, Cleaning, Feature Engineering

Recenzii

Modificările au fost salvate

Se afișează 1 – 5 din 9 recenzii

Filtrează recenziile în funcție de:

5,0

$300,00 USD

Machine Learning Expert for Data Normalization and training

Great work, Great Person!

Machine Learning (ML)

Data Mining

Statistical Analysis

Data Science

Abdulaziz M.

@kunazez7

•

1 lună în urmă

5,0

$10,00 USD

Compute Columns PANDAS

he was very patient with my lack of time. He provided all columns I asked to compute, Great communication and very nice guy overall. Will hire again for sure.

Data Processing

Pandas

Python

Rodolfo T.

@vw8007061vw

•

9 luni în urmă

5,0

$150,00 USD

Project for Mohamed H.

Mohamed communicates well and delivered the project on time and within the budget.

+ încă 1

Daniel G.

@dangoldb

•

1 an în urmă

5,0

$20,00 USD

Scrape URLS

Brilliant - straight to the point, over-delivers. An absolute 10/10

Renaldo A.

@foni

•

1 an în urmă

5,0

$25,00 CAD

Complete my small python ptoject

Mohamed did a great job, I enjoyed working with him. He delivered the project on time, highly recommended.

Python

Web Scraping

Software Architecture

Sepehr S.

@sepehrsari

•

1 an în urmă

Experiență

Udacity

dec. 2023 - Prezent

As a session lead at Udacity, I lead sessions in the Digital Egypt Cubs Initiative (DECI), nurturing Egyptian youth aged 12 to 17 to equip them with cutting-edge technical skills in communications and information technology. Curriculum includes Python, HTML, Data Analysis, Cybersecurity, Digital Arts, and Embedded Systems. Responsibilities: * Mentoring: Guiding Egyptian youth through engaging virtual connect sessions. * Community Support: Providing unwavering assistance via community channels.

Lotus Garments Co.

oct. 2019 - Prezent

Leading the team responsible for building the 'Enterprise Resources Planning' system, in order to design, implement, and deploy the various modules of the system.

Lotus Garments Co.

ian. 2004 - oct. 2019 (15 ani, 9 luni)

Leading the team which performs the following tasks: 1- Communicating with the buyers 2- Costing the desired products 3- Ordering the raw materials 4- Putting the production plans 5- Following up until the ordered goods are shipped to the buyers

Educație

Master of Science in Electrical Engineering - Computer and Control Division (Port Said University)

Suez Canal University,

Egypt

2016 – 2020

(4 ani)

Bachelor of Electrical Engineering, Computer and Control Division

Suez Canal University,

Egypt

1997 – 2002

(5 ani)

Calificări

Udacity

2022

In this program, I got hands-on practice on many supervised-learning algorithms/techniques such as Regression, Decision Trees, Support Vector Machines, Ensemble Learning

Udacity

2022

This program helped me advance my programming skills and refined my ability to work with messy, complex datasets. I learned to manipulate and prepare data for analysis, and create visualizations for data exploration. In addition, I learned to use my data skills to tell a story with data.

Udacity

2021

In this Nanodegree I learnt to manipulate and prepare data for analysis, and create visualizations for data exploration. In addition, I learnt to use my data skills to tell a story with data.

Publicații

Data Analysis of Airbnb Datasets — Boston vs. Seattle

Medium.com

In this article, I compared and contrasted two major US cities, Boston and Seattle, using Airbnb datasets from 2016. I used data analysis techniques such as descriptive statistics, visualizations, and machine learning to answer some questions about these two markets: * Which neighborhoods have the highest average prices? * How prices compare based on property types? * What are the most important amenities in each city? * Which months have the highest prices? What well can we predict prices?

A Low-Cost Multi-sensor Deep Learning System for Pavement Distress Detection and Severity Classifica

Springer

This paper presents a low-cost multi-sensor solution for the automatic detection and severity classification of pavement distress. The proposed system utilizes a sensor fusion strategy that combines RGB image data and depth information.

A Super-Learner Ensemble of Deep Networks for Vehicle-Type Classification

IEEE

This paper introduces a densely connected single-split super learner to address the vehicle type classification problem in two challenging traffic surveillance datasets, the MIO-TCD dataset and the BIT-vehicle dataset. While our method is simple, easy to train, does not include any handcrafted features or any logic reasoning, it achieved fantastic results that compare to those of the state-of-the-art methods.