Mouad Ait El Hachmi

Portfolio

Mouad Ait El Hachmi

Computer engineering student specializing in data analysis, reporting, and process automation.

About

Who I am

Computer engineering student (5th year) specializing in data analysis, reporting, and process automation. Hands-on experience building data cleaning pipelines, automation, and visualization — notably at Nokia, working with large-scale 4G/5G network data. Comfortable with Python, SQL, and reporting tools, with a rigorous, impact-driven approach to analysis within an IT team.

Python (Pandas, NumPy)SQLETLKafkaSparkStreamlitMySQLSnowflakeDockerGit

Languages: Arabic (native), French (B2), English (B2)

Education

Where I learned it

  1. 2022 — 2027

    Engineering Cycle — Computer Science (Bac+5)

    École Nationale des Sciences Appliquées — Université Cadi Ayyad, Marrakech

  2. 2022

    Baccalauréat, Sciences Mathématiques B — Mention Assez Bien

    Lycée Mohamed VI, Morocco

Experience

What I've worked on

Jul. — Aug. 2026

Nokia

Data Analysis & Data Engineering Intern

Cleaned and structured raw network data from 36 daily files covering 490+ 4G/5G stations; automated an anomaly-detection pipeline across 6 network KPIs; built a Flask dashboard with auto-generated comments via the Gemini API; migrated the database from SQLite to Snowflake.

Nokia — Data Analysis & Data Engineering Intern
Nokia — Data Analysis & Data Engineering Intern

Jun. — Aug. 2025

Code-212, Marrakech

Backend Developer

Structured data models and managed MySQL migrations within a 7-developer team (Laravel, PHP).

Code-212, Marrakech — Backend Developer
Code-212, Marrakech — Backend Developer

Volunteering

Giving back

Sep. 2024 — Jun. 2025

Reporting Eye Club

Video Cell Lead

Produced regular visual reports and analytical content for the club.

Final Trailer

Reporting Day

Jan. 2023 — Jun. 2025

Enactus Club

Design Lead

Delivered structured visual assets within an entrepreneurial, social-impact context.

Buildi Fusion

Titrit Trial

Dec. 2025 — Jun. 2026

UCA'Inov

Communication & Media Member

UCA'Inov

Projects

Selected work

Data Pipeline

Real-Time YouTube Sentiment Analysis

Streams and analyzes a continuous flow of YouTube comments, surfacing sentiment trends on an interactive Streamlit dashboard. Built with Kafka, Spark, and Elasticsearch.

Full-Stack

Library Management Platform

Full-stack library platform with churn-prediction modeling and analytics reports surfaced directly in the admin interface. Integrates ML and Stripe.

Contact

Let's talk

Have a project in mind, or just want to connect? Reach out — I'm always open to interesting conversations.