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🧑‍💻Abdelkarim MAJDOUB

Machine Learning / Data Engineer

ℹ️About Me

As a seasoned Data and Machine Learning Engineer, my specialization revolves around crafting and deploying sophisticated data analytics solutions. I boast a solid foundation in data manipulation, statistical modeling, and proficiency in programming languages, including Python. My track record includes valuable contributions to diverse projects encompassing data analysis, predictive modeling, and machine learning algorithms. My knack for distilling actionable insights from intricate datasets and fine-tuning models for enhanced accuracy and efficiency has significantly influenced data-driven decision-making. Fueled by a fervor for harnessing cutting-edge technologies and keeping abreast of industry trends, I am dedicated to delivering pioneering solutions that foster business growth and optimize operational efficiency.

🚀Numerical Skills

🖥️Programming Languages

Python TypeScript JavaScript Java R

🔋RDBMS

SQL Server MySQL PostgreSQL

🧮Frameworks & Librairies

PySpark Airflow Django Git Git Git Git Git

☁️Cloud & Plateforms

AWS Azure Databricks Palantir Foundry

🛠️Tools

Git GitHub linux macos windows docker powerbi VSCode Jupyter html5 css3

👽Projects

Project Progress Description Tags
PPFML 100% Development of a Machine Learning model based on feature selection to predict Volve production rate Machine Learning , Data Analysis, sickit-learn
DeepDenoiser 50% Seismic Signal Denoising and Decomposition Using Deep Neural Networks Deep Learning,Computer Vision,Tensorflow Keras
GCINO-EM 20% Automated Consumables Management Application OOP,Python,Qt-Creator
Skyward Insights 0% Data pipeline and analysis to extracts flight data from flights APIs and constructs a dashboard on top of this Data Engineering,DataViz,Data Analysis,Apache Airflow,Power BI
Travel Gems Finder 0% Discover Top Airbnb Accommodations for Any Date and Location Data Analysis,Machine Learning

💬Contact me

If an individual possesses an innovative, pioneering, and novel concept and wishes to engage in collaborative work, please feel free to get in touch with me.

karimmajdoub's Projects

deepdenoiser icon deepdenoiser

DeepDenoiser: Seismic Signal Denoising and Decomposition Using Deep Neural Networks

geostatistical-history-matching-using-machine-learning icon geostatistical-history-matching-using-machine-learning

This repository aims to show the potential of the MutliOutputRegression technique in the Machine Learning model from geostatistical simulation. We are trying to build geostatistical realizations while respecting the reservoir model with its drilling data and the experimental variogram

ivy icon ivy

The Unified Machine Learning Framework

volve-field-machine-learning icon volve-field-machine-learning

In 2018, Norwegian oil company Equinor disclosed a massive subsurface and operation dataset from their Volve oil field in the North Sea. For two years until now, it has been good news for all people who are passionate about improving and solving challenges in the study of oil and gas fields in universities, research institutions, and companies. This repository is my exploration on machine learning to Volve oil field

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