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Data Science Data Visualization Machine Learning (ML) Python Pytorch
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$15 USD / hour
Flag of MOROCCO
souk sebt, lefquih ben saleh, morocco
$15 USD / hour
It's currently 10:24 AM here
Joined February 28, 2021
0 Recommendations

Hamza R.

@hamzabenoumaia

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5.0 (18 reviews)
5.1
5.1
$15 USD / hour
Flag of MOROCCO
souk sebt, lefquih ben saleh, morocco
$15 USD / hour
89%
Jobs Completed
100%
On Budget
100%
On Time
11%
Repeat Hire Rate

Data Scientist

Hi, I am Hamza I can help you with your data science work. I can communicate in English, Arabic and French. I have experience working with various data related tasks such as : - Data Processing - Data visualization and Business intelligence - Machine learning and deep learning - Image processing - Computer Vision - NLP - Control systems - Clustering and segmentation - Recommender systems - time-series forecasting and analysis Please reach out to me if you are interested in my services.
Freelancer Python Developers Morocco

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Portfolio Items

In this project I did some analysis with local MySQL database, I used some queries to check the data errors and inconsistencies, loaded the data into Tableau and did some cleaning to prepare the data for analysis and building the dashboard in the picture.
Tableau Dashboard using data from MySQL database
In this project I did some analysis with local MySQL database, I used some queries to check the data errors and inconsistencies, loaded the data into Tableau and did some cleaning to prepare the data for analysis and building the dashboard in the picture.
Tableau Dashboard using data from MySQL database
In this project I did some analysis with local MySQL database, I used some queries to check the data errors and inconsistencies, loaded the data into Tableau and did some cleaning to prepare the data for analysis and building the dashboard in the picture.
Tableau Dashboard using data from MySQL database
In this project I used some python libraries to build an app that grabs real stock data and predict closing price, the user can train the model themselves on the interval of data that they wish
Stock forecasting app with Python
I can build powerfull image classification models with keras or Pytorch and do transfer learning, fine tuning or training from scratch with clear code and nice reports.
Training image classification models with keras
I can build powerfull image classification models with keras or Pytorch and do transfer learning, fine tuning or training from scratch with clear code and nice reports.
Training image classification models with keras
In this task, I built a Pytorch dataset class and logistic regression model  with Pytorch to train on any football dataset, 
The model uses one layer and one sigmoid unit as output which is a logistic regression essentially (the client wanted logistic regression), However I decided to use Pytorch to make the model easy to upgrade to a deeper neural network. 
The dataset class generates for each match a vector of previous matches results for home and away team so that the model can use the teams history in predictions. I included some code snippets shots of dataset definition and model training.
Predict if both teams would score in a premier league match
In this task, I built a Pytorch dataset class and logistic regression model  with Pytorch to train on any football dataset, 
The model uses one layer and one sigmoid unit as output which is a logistic regression essentially (the client wanted logistic regression), However I decided to use Pytorch to make the model easy to upgrade to a deeper neural network. 
The dataset class generates for each match a vector of previous matches results for home and away team so that the model can use the teams history in predictions. I included some code snippets shots of dataset definition and model training.
Predict if both teams would score in a premier league match
In this task, I built a Pytorch dataset class and logistic regression model  with Pytorch to train on any football dataset, 
The model uses one layer and one sigmoid unit as output which is a logistic regression essentially (the client wanted logistic regression), However I decided to use Pytorch to make the model easy to upgrade to a deeper neural network. 
The dataset class generates for each match a vector of previous matches results for home and away team so that the model can use the teams history in predictions. I included some code snippets shots of dataset definition and model training.
Predict if both teams would score in a premier league match
In this project, a public dataset by IBM was used to analyse employee attrition. The main task was to analyse why employees may leave a company at some point.
First, I performed an extensive analysis of several factors like job role, salary, distance from home etc. and how each one of them impact the probability that the employee might leave.
Second, I picked the most indicative features and built a classification model (deep neural network) with keras and tensorflow and achieved an f1 score of 83 and accuracy of 85, then tried several approches to overcome the class imbalance issue and achieved 86 % f1 score. 
Below are some visuals of feature analysis and deep learning training process and code.
Predict if an employee would leave the company
In this project, a public dataset by IBM was used to analyse employee attrition. The main task was to analyse why employees may leave a company at some point.
First, I performed an extensive analysis of several factors like job role, salary, distance from home etc. and how each one of them impact the probability that the employee might leave.
Second, I picked the most indicative features and built a classification model (deep neural network) with keras and tensorflow and achieved an f1 score of 83 and accuracy of 85, then tried several approches to overcome the class imbalance issue and achieved 86 % f1 score. 
Below are some visuals of feature analysis and deep learning training process and code.
Predict if an employee would leave the company
In this project I worked with a dataset of hourly Electric power output of PV systems installed cross Belgium and connected to the nation grid, The objective was to forecast the hourly power yield in MW for the next 24h and one week horizons.  
I chose normalized root mean squared error as a percentage metric to measure model performance, then I run a Bayesian hyperparameter tuning loop to achieve best performance possible in the shortest amount of time. 
The pictures illustrate code snippets for feature engineering and metrics measurement, formulas for metrics used, hyperparameter tuning results and finally example of predictions generated by the model.
Forecasting Solar energy generation in Belgium with XGBoost
In this project I worked with a dataset of hourly Electric power output of PV systems installed cross Belgium and connected to the nation grid, The objective was to forecast the hourly power yield in MW for the next 24h and one week horizons.  
I chose normalized root mean squared error as a percentage metric to measure model performance, then I run a Bayesian hyperparameter tuning loop to achieve best performance possible in the shortest amount of time. 
The pictures illustrate code snippets for feature engineering and metrics measurement, formulas for metrics used, hyperparameter tuning results and finally example of predictions generated by the model.
Forecasting Solar energy generation in Belgium with XGBoost

Reviews

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Showing 1 - 5 out of 18 reviews
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5.0
£340.00 GBP
It is quality work with Hamza all the time.
Python Machine Learning (ML) Data Science Pytorch
+1 more
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Flag of Kabiru M. @kabirumtm
1 month ago
4.4
$200.00 USD
Hamza was a good freelancer in respect of deadlines and professionalism, we would definitely recommend him for his fields of expertise. However, for this project, his efforts and approaches were not enough to meet the requirements of our project.
Python Statistics Machine Learning (ML) Neural Networks Tensorflow
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Flag of Camila V. @CamilaIOTA
1 month ago
5.0
$175.00 USD
Hamza is an amazing individual. He took his time to go through everything thoroughly. Hamza was very friendly, and communicated constantly. He was attentive to detail and I would highly recommend.
Python Algorithm Machine Learning (ML) Artificial Intelligence
S
Flag of Sean S. @stjohnson2675
2 months ago
5.0
$350.00 USD
It was great working with Hamza. He knows the concepts of AI very thoroughly. Best in professionalism and went out of way to help you. I will recommend him to everything and will keep hiring him in future. Thanks Hamza for your great work.
Python Machine Learning (ML) Data Science Pytorch
+1 more
P
Flag of Poonam S. @poonamjsingh
2 months ago
5.0
$200.00 USD
Very professional as always.
Deep Learning
S
Flag of Sulfer A. @sulfermm21
2 months ago

Qualifications

Deep learning Specialization

Deeplearning.ai
2020
Neural Networks and Deep Learning Improving Deep Neural Networks: Hyperparameter Tuning, Regularization and Optimization Structuring Machine Learning Projects Convolutional Neural Networks Sequence Models

Google Professional Data Analyst

Google
2021
Those who earn the Google Data Analytics Professional Certificate have completed eight courses, developed by Google, that include hands-on, practice-based assessments and are designed to prepare them for introductory-level roles in Data Analytics. They are competent in tools and platforms including spreadsheets, SQL, Tableau, and R. They know how to prepare, process, analyze, and share data for thoughtful action.

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Top Skills

Python 12 Machine Learning (ML) 10 Data Science 5 Pytorch 5 Data Visualization 5

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