Nabih Samy ABDELHADI
I build robust, scalable, and efficient data pipelines and solutions, focusing on clean code and delivering actionable insights.
About Me
Former Data Consultant at KPMG, holding a Master's degree from Algeria and currently pursuing a Master's in Artificial Intelligence in France. I have developed strong expertise in development, AI, and data management through professional experiences and projects. I am seeking a 6-month internship to complete my degree and contribute to innovative Data & AI projects. My certifications include DP-700, AI-900, DP-900, and AZ-900.
Certifications
Designing and maintaining data pipelines. Implementing data ingestion and transformation solutions. Storing, processing, and securing data. Monitoring and optimizing data engineering workloads on AWS.
Implementing data ingestion and transformation solutions. Managing analytics solutions using Microsoft Fabric. Working with data lakes, warehouses, pipelines, and notebooks. Monitoring and optimizing data engineering workloads in Fabric.
Describes AI workloads and considerations. Explains fundamental principles of machine learning on Azure. Describes features of computer vision, natural language processing, and conversational AI.
Describes core data concepts. Explains how to work with relational and non-relational data. Explains how to work with data workloads on Azure.
Describes cloud concepts. Explains core Azure services. Explains core solutions and management tools on Azure.
Experience
Data Scientist Intern
Safran
• Exploration and preprocessing of aeronautical maintenance data.
• Development of predictive maintenance models using machine learning.
• Analysis of sensor and maintenance data to detect failure patterns.
• Data visualization and model performance evaluation using Python and data science tools.
Data Consultant
KPMG
• Gathered business requirements and designed functional specifications for departments such as Finance, HR, and Risk.
• Designed, developed, and industrialized analytical solutions (ETL, data ingestion/transformation, machine learning) deployed on cloud environments (Azure, Fabric).
• Participated in the full data project lifecycle - documentation, testing, and maintenance - collaborating with cross-functional teams.
• Experience in Data Engineering, Cloud and AI/GenAI, as well as consulting, application integration, architecture, and testing.
ML Engineer Intern
Djezzy OTA
• Developed an NLP-based tool to detect and censor vulgar words in the Algerian dialect.
• Built Machine Learning models to classify customer reviews.
• Processed and analyzed large-scale datasets (Big Data).
Research Intern
Eden IA
• Comparison of tools for monitoring, observability and analysis of LLMs.
Data Scientist Intern
Ericsson
• Exploration of the company's structure.
• Discovery of telecommunications equipment.
• Simulation of the configuration of various network devices.
• Use of artificial intelligence tools for visualization and natural language processing (NLP).
Skills & Tech Stack
Technologies I work with
Projects
A selection of projects I've built and contributed to
Metaheuristic – N-Queens Problem
CompletedImplementation of both classical search algorithms (DFS, BFS, A) and metaheuristic approaches (Genetic Algorithm) to solve the N-Queens problem. The project features a graphical interface for visualization and includes a performance analysis based on computation time and memory usage.
Censure - Darija
CompletedCensure_Darija is a tool that uses Word2Vec and FastText to detect and censor offensive words in Darija (Algerian Dialect).
Data Mining
In progressExploratory data analysis, cleaning, and visualization project (COVID-19, soil fertility). Application of frequent pattern mining techniques (Apriori), classification (KNN, Decision Trees, Random Forest), and clustering (K-means, DBSCAN).
Computer Vision – Visual Effects
In progressImplementation of image filters and color-based object detection. Creation of interactive visual effects such as the ‘Invisibility Cloak’ and ‘Green Screen’, as well as a color-controlled racing mini-game (‘Brick Racing Game’) using a camera.
Fire Detection on Images
In progressComputer vision model capable of detecting the presence of fire in images under various conditions. Uses OpenCV and image processing techniques to identify risk areas.
F1 Winner Prediction
In progressPredictive AI capable of anticipating the winner of a Formula 1 Grand Prix based on historical data of drivers and their cars. Uses supervised learning models such as SVM and KNN.
Robotics Project – Wall Following
In ProgressDevelopment of a line-following robot in Webots, trained using reinforcement learning (Q-learning / Deep RL). Optimization of navigation policy to improve trajectory stability and tracking accuracy.
Search Engine
In progressDesign of a search engine based on the LISA collection (6,000 documents). Implementation of indexing (tokenization, stopwords, stemming, TF-IDF), query-document matching using multiple models (vector space, boolean, BM25), and evaluation through precision, recall, and F-measure.
Get in Touch
Feel free to reach out if you have any questions or want to work together.