Omdena

Lead of Omdena Fez Chapter

Participating in Local Chapters around the world.

Data Scientist

Local Chapter: Algeria 
Project: Building an Intelligent Control System for Greenhouses 

Part I:
- Assisted as a collaborator.
- Doing Research on the field GreenHouses
- Presented a speech about Introduction to Machine Learning with an end-to-end ML project using the Patients dataset.

Part II:
- Being a mentor for Task: Recommendation system for water management.
- Being a Task Lead for Model Deployment for the whole project using @Streamlit.
- Collaborating on the Article( ongoing).

Check it here: https://github.com/ayoub-berdeddouch/AlgeriaGreen-part2-deployment

Lead ML Engineer

Local Chapter Liverpool UK
Project: Predicting RTC Severity using Machine Learning

- Assisted as a collaborator for some EDA/ Preprocessing of the RTC UK dataset.
- Handling Imbalanced data using many technics.

https://omdena.com/chapter-challenges/predicting-rtc-severity-using-machine-learning/

ML Engineer

Local Chapter: London UK - Morocco Collaboration

Project: ElectroCardioGram interpretation using computer vision
As part of the Moroccan chapter, I collaborated with the London Chapter to retrain & acquire new data for ECG (images or records) and apply new Architectures to these images.
Reused the pipeline used in the Moroccan chapter, besides applying the models and architectures of the newly acquired data.
We got some impressive results and accuracies.

Local Chapter: Colombia,

Project: Building a Career Recommendation System to make Suggestions to Students
- Assisted as a collaborator for some EDA/ preprocessing of ICFES scores Dataset.
- Being a task lead for Building the Recommender System, worked along with collaborators to create a Career Recommendation Engine.
- Build a web application ( Flask and Explainable AI aka LIME) to recommend top careers for a high school Student.

Local Chapter: France, 

Project: Building a Tracking dashboard for Flu
- Being a collaborator, helped to acquire the Flu dataset.
- I was the Lead task for Data Visualization using Matplotlib/Seaborn/Plotly; along with other collaborators.
- Created a dashboard using Streamlit Cloud

Local Chapter: Sri Lanka, 
Project: Using AI for Improving Quality of Green Tea Leaves in Sri Lanka (Phase-2)
- Collaborator doing UI design, helping with client-side

Junior ML Engineer

Local Chapter: Kenya,

Project: Improving Food Security and Crop Yield in Kenya Through Machine Learning.
- Assisted in obtaining Satellite images of Nakuru County.
- I was the Lead task for Crop Yield Prediction along with other collaborators.
- Used Transfer Learning (EfficientNet ) to train a model to predict Crop Yield Plant Diseases for 38 Classes, with an Accuracy of 99.65%. 
- Deployed the model using Streamlite: https://share.streamlit.io/ayoub-berdeddouch/crop-disease_inference/main/app.py

Local Chapter: Morocco, 

Project: Providing ElectroCardioGram (ECG) interpretation using computer vision, to help reduce heart attacks. 
- Being a collaborator, helped to acquire the ECG Images dataset. 

- I was the Lead task: 

1. Preprocessing these images along with other collaborators: 

- Created a VGG model to give Inference about the ECG Image whether it is MI or Normal. with an accuracy of 95%. 
2. Web Application: 
- Created the web application using Flask, deploy it to the AWS EC2 instance, and used Apache2.

UM6P - Mohammed VI Polytechnic University

USMBA & UNICAMPANIA

PhD Researcher Scientist

Upwork

The Sparks Foundation

AIOX Labs 

Soft Centre

Project in Artificial Intelligence and Data Science, in the field of urban mobility

Data Scientist | Lead ML Engineer @Omdena | 🐍 Django | ☁️ Engineer | Researcher Scientist | NaaS.ai Contributor

Data Scientist
Lead Fez, Morocco chapter @Omdena 
🐍 Django Dev 
☁️ Engineer 
Researcher Scientist
NaaS.ai Contributor
ISCV Student Commitee

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