Open to opportunities

Fatima ezzahra Arjafallah

@fatimaezzahraarjafal

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Junior data analyst focused on AI, predictive modeling, and real-time Power BI dashboards.

Morocco

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What I'm looking for

I’m looking for a data-driven, international team where I can build real-time dashboards, automate reporting, and develop predictive ML/AI solutions that improve operational decisions.

I’m a Data Analyst passionate about turning data into actionable decisions through AI and automation. Since July 2024 in Casablanca, I’ve built Power BI dashboards for real-time process monitoring, supporting +3 operational teams, and automated daily reporting with Python & SQL—cutting processing time by 30%.

I also design predictive models to estimate yields and anticipate outcomes, while collaborating with production, quality, and IT to keep decisions data-driven. Previously, I collected and analyzed macroeconomic data across 40+ African countries at Afreximbank, contributing to a dashboard followed by ~15 analysts, and I delivered an ML Flask tool for school drop-out risk with ~82% accuracy—reducing ~60% of identification time.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst & Engineer

Current

Groupe Saham

Jul 2024 - Present (1 year 11 months)

Built Power BI dashboards for real-time automation process monitoring in an international environment, used by 3+ operational teams. Automated daily reporting with Python and SQL, cutting processing time by 30%, and created predictive models to estimate yields and anticipate losses.

Power BI DAX Python SQL R predictive modeling Machine Learning Data Visualization Automation

Data Analyst Graduate Program

Afreximbank

Sep 2023 - Feb 2024 (5 months)

Collected, analyzed, and visualized macroeconomic data across 40+ African countries. Contributed to a Power BI dashboard tracking 10+ regional growth indicators, used by ~15 analysts.

Power BI Excel scikit learn TensorFlow Pandas NumPy Jupyter Flask Data Visualization

Machine Learning Intern

P-curiosity / UM6P

Apr 2022 - Aug 2022 (4 months)

Developed a Flask tool with an ML model to predict school dropout risk for ~2,000 students, achieving ~82% accuracy and reducing identification time by ~60%. Implemented the full ML pipeline, including cleaning, EDA, feature engineering, modeling, evaluation, and deployment.

Flask Machine Learning predictive modeling Python Data Cleaning Model Evaluation Deployment

Education

Degrees, certifications, and relevant coursework

Georgetown University

Leadership & Diplomacy

2022 - 2023

MEPI Student Leaders Exchange Program at Georgetown University, a competitive leadership and diplomacy program.

INSA Euro-Méditerranéenne

Ingénieur Systèmes d'Information, Data Engineering

2019 - 2023

Ing. Systèmes d'Information at INSA Euro-Méditerranéenne with a specialization in Data Engineering, including ML, Data Science, and Big Data projects.