Hello, I'm

Elhattab Nada

Big Data & Cloud Computing · ENSET Mohammedia · Data Engineer in the making

Passionate computer science student building data-driven applications and exploring the intersection of AI, cloud computing, and data engineering.

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nameNada Elhattab
programBig Data & Cloud Computing
schoolENSET Mohammedia
goalData Engineer / AI Specialist
statusOpen to internships ✓

Turning data into
meaningful insights

I'm a computer science student at ENSET Mohammedia specializing in Big Data and Cloud Computing. My passion lies at the crossroads of data engineering, analytics, and intelligent systems.

I enjoy designing data pipelines, building interactive dashboards, and exploring tools like Python, Streamlit, and SQL to bring raw data to life. I'm always curious about new technologies in the AI and data ecosystem.

Currently expanding my skills in cloud platforms and data architecture, with the goal of becoming a data engineer or AI specialist who contributes to intelligent, data-driven systems.

Data Engineering Cloud Computing AI & Machine Learning Data Visualization Python Open Source

Skills & Technologies

Tools and technologies I work with to build data-driven applications.

Python
Advanced

Data manipulation, scripting, automation, pandas & numpy for analysis workflows.

Data Analysis
Intermediate

Statistical analysis, EDA, data cleaning, pattern recognition and reporting.

Streamlit
Intermediate

Building interactive web apps and dashboards for data visualization.

SQL
Intermediate

Relational databases, queries, joins, aggregations and data extraction.

Data Visualization
Intermediate

Matplotlib, Plotly, charts and visual storytelling from complex datasets.

React
Beginner

Basic component-based UI development. Currently expanding knowledge.

🔍 Problem Solving
⚙️ Algorithms
🤝 Team Collaboration
📚 Fast Learner
🎯 Attention to Detail
💬 Communication

// spoken languages

Arabic
Native
French
Fluent
English
Intermediate

Featured Projects

Applications and tools built to solve real data problems.

Data Analysis Application

// SRM Internship Project

Comprehensive data analysis platform developed during my internship at Société Régionale Multiservices. Designed to analyze electricity contracts, generate statistics, and provide interactive visualizations.

  • Upload Excel files and convert to optimized Parquet format
  • Interactive tables with dynamic filtering and pagination
  • Statistics dashboards for contracts and customer data
  • Visual charts and graphs for trend analysis
Python Streamlit Pandas Parquet Plotly

Cloud Data Pipeline

// In Progress

End-to-end data pipeline using cloud services to automate data ingestion, transformation, and storage. Exploring ETL concepts and cloud-native data tools.

  • Automated data ingestion from multiple sources
  • Data transformation and quality validation
  • Cloud storage integration and optimization
  • Monitoring dashboard
Python SQL Cloud Storage ETL

Interactive EDA Dashboard

// Academic Project

Exploratory Data Analysis tool that lets users upload any CSV dataset and automatically generates statistical summaries, correlation matrices, and distribution charts.

  • Automatic data profiling and type detection
  • Correlation heatmaps and distribution plots
  • Missing data analysis and outlier detection
  • Export analysis reports
Python Streamlit Pandas Matplotlib Seaborn

Experience

Real-world projects and professional contributions.

Data Analysis Intern

2024

Société Régionale Multiservices (SRM)

📍 Electricity Department · Morocco

Contributed to the design and development of a data analysis application for the electricity department. The project focused on analyzing contract data, generating statistical reports, and creating visual insights to support operational decision-making.

  • ▹ Designed and built a full-stack data application using Python and Streamlit
  • ▹ Implemented Excel-to-Parquet conversion pipeline for efficient data storage
  • ▹ Built interactive data tables with filtering, search and pagination features
  • ▹ Created visualizations and statistics dashboards for contract & customer analytics
  • ▹ Collaborated with the technical team to understand business requirements
Python Streamlit Data Analysis Parquet Pandas Visualization

Education

My academic journey in computer science and data engineering.

1ère année Cycle Ingénieur — Big Data & Cloud Computing

ENSET — École Normale Supérieure de l'Enseignement Technique

// Mohammedia, Maroc · 2024 – présent

Première année du cycle ingénieur, spécialité Big Data et Cloud Computing. Programme couvrant les systèmes distribués, pipelines de données, architectures cloud et data engineering.

DUT — Ingénierie des Données

École Supérieure de Technologie (EST)

// Maroc · 2021 – 2023

Formation technologique en ingénierie des données : bases de données, algorithmique, développement logiciel, réseaux et systèmes d'information.

Baccalauréat — Sciences Expérimentales

Lycée · Maroc

// 2021

Solide formation scientifique en biologie, chimie, physique et mathématiques — base analytique essentielle pour les études en informatique et data science.

Open to new
opportunities

I'm actively looking for internships, collaborative projects, and opportunities in data engineering, cloud computing, and AI. Feel free to reach out!

"My goal is to become a data engineer or AI specialist and contribute to building intelligent, data-driven systems that make a real impact."
— Nada Elhattab
EMAIL
nada.elhattab@enset.ma
LINKEDIN
linkedin.com/in/nada-elhattab
GITHUB
github.com/nada-elhattab
UNIVERSITY
ENSET Mohammedia