[nom]
Junior Data Analyst
[téléphone] · # [e-mail] · + Salé, Morocco
Profile
Final-year Master’s student in IoT & Big Data at INPT, with strong skills in data analysis, dashboard design, reporting, KPI monitoring, and data visualization. Experienced in using Power BI, SQL, Python, Excel, and machine learning techniques to clean, analyze, and transform data into actionable insights. Interested in business intelligence, decision support, and data-driven performance monitoring.
Education
INPT – National Institute of Posts and Telecommunications · 2024 – Present
Master’s in IoT & Big Data · Rabat, Morocco
- Relevant coursework: Data Analysis, Artificial Intelligence, Big Data, Decision Support, Cloud Computing, Optimization, Information Systems.
Mohammed V University – Faculty of Sciences · 2021 – 2024
Bachelor’s in Physical Sciences, track: Computer Science, Electronics and Automation · Rabat, Morocco
- Foundations in computer science, statistics, applied mathematics, databases, electronics, and automation.
Projects
Digital Payment Transaction Analytics Dashboard · 2026
- Analyzed online payment transaction data to monitor transaction volume, amount distribution, fraud rate, and high-risk transaction types.
- Built an interactive Power BI dashboard with KPIs including total transactions, total amount, average transaction value, fraud rate, and transaction volume by type.
- Cleaned and prepared transaction data using Python, Pandas, Excel, and Power Query for reliable reporting.
- Created DAX measures and visual reports to compare normal and suspicious transactions and identify risk patterns.
- Generated actionable insights to support digital payment monitoring, risk analysis, and data-driven decision-making.
- Tools: Power BI, Power Query, DAX, Python, Pandas, Excel.
Football Analytics – Player and Match Data Analysis · 2026
- Designed an analytics workflow for football data including data cleaning, feature engineering, exploratory analysis, KPI definition, and visualization.
- Analyzed player and team performance indicators such as passing efficiency, attacking contribution, defensive actions, progression, and match involvement.
- Prepared dashboards and analytical summaries to support player comparison, scouting, tactical analysis, and performance reporting.
- Technologies: Python, Pandas, NumPy, Matplotlib, SQL, Power BI.
Experience
Research Intern – Intelligent IDS Agent using LLM + GNN · February 2026 – Present
INRS – National Institute of Scientific Research, Canada · Remote
- Analyzed IoT network traffic data to support intrusion detection, anomaly identification, and decision-making.
- Performed data preprocessing, feature extraction, exploratory analysis, and model evaluation using Python.
- Monitored classification metrics and KPIs such as accuracy, F1-score, false alarm rate, and detection rate.
- Designed data-driven approaches combining Graph Neural Networks and Large Language Models for intelligent analysis of network behavior.
Automation and Supervision Intern · January 2024 – February 2024
ONEE – Water Branch · Rabat, Morocco
- Programmed Siemens PLCs using TIA Portal and Ladder Logic.
- Worked with industrial process data, sensors, actuators, and real-time monitoring systems.
- Gained experience in supervision, operational indicators, and monitoring of physical systems.
Skills
- BI & Reporting: Power BI, dashboards, KPIs, reporting, Power · Scikit-learn Query, basic DAX
- Machine Learning: Regression, SVM, KNN, Random Forest,
- Data Analysis: data cleaning, EDA, data visualization, feature · XGBoost, K-Means, PCA engineering, statistical analysis Programming: Python, SQL, C, C++ · • Deep Learning: Autoencoders, CNN, RNN, LSTM, GNN
- Python Data Stack: Pandas, NumPy, Matplotlib, Seaborn, · • Big Data / Cloud: Apache Spark, AWS, Docker, MLflow
Certifications
Oracle Certified Professional – OCI 2025 Data Science
Certificate of Completion – AI Agent Architecture · 365 Data Science
Languages
English (advanced) · French (fluent) · Arabic (native) · Spanish (beginner)
