Open to opportunities

Amal Meski

@amalmeski

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Junior data analyst specialized in AI-driven analytics, ETL pipelines, and Power BI visualizations.

Morocco

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What I'm looking for

I seek an entry-level role in data analytics or BI where I can apply Python, Power BI and ETL skills, work on real projects, and grow in a collaborative, learning-focused team.

I am a recent graduate in Artificial Intelligence with hands-on experience as a Data Analyst from internships at Orange Business, where I designed predictive HR analytics solutions using Power BI and Python and built automated ETL pipelines from SharePoint with tabular modelling (SSAS).

I have implemented backend services (Java/Spring), containerized workloads to Kubernetes, developed REST API connectors, and executed machine learning and big data projects (CNN, SVM, Hadoop, MapReduce). I bring practical skills in Python, Power BI, SQL Server, SSIS/SSAS and a collaborative, initiative-taking approach to contribute immediately to real-world data analytics projects.

Experience

Work history, roles, and key accomplishments

Data Analyst Junior

Orange Business

Mar 2025 - Aug 2025 (5 months)

Designed an intelligent HR analytics solution with predictive indicators using Power BI and Python, and developed an automated ETL pipeline from SharePoint with tabular modelling (SSAS) to deliver dynamic dashboards.

Python Power BI SSIS SSAS SQL Server SharePoint ETL Data Modelling

Data & Cloud Engineer Intern

Orange Business

Apr 2023 - Jun 2023 (2 months)

Developed a Java/Spring back-end service and implemented an API REST connector while participating in migration from IaaS to Kubernetes (CaaS) in collaboration with DevOps and data teams.

Java Spring Framework Kubernetes api rest CaaS DevOps Backend Development

Education

Degrees, certifications, and relevant coursework

Faculté des Sciences et Techniques - BM

Master Sciences et Techniques, Intelligence Artificielle et Digital Computing

2023 - 2025

Activities and societies: Projects: detection and classification of plant diseases (CNN, ELM, SVM), Big Data medical image analysis (Hadoop, Map-Reduce), sleep health dataset analysis (R, multivariate analysis).

Master Sciences et Techniques (MST) in Intelligence Artificielle et Digital Computing completed between 01/10/2023 and 03/07/2025, with projects and training in data analytics, machine learning, and BI tools.

Faculté des Sciences et Techniques - BM

Licence Sciences et Techniques, Informatique

2019 - 2023

Activities and societies: Relevant coursework and projects in programming (Java, Python, C), databases (SQL, Oracle, MongoDB), and data analysis.

Licence Sciences et Techniques (LST) in Informatique completed between 01/09/2019 and 01/07/2023, focused on programming, databases, and data-related coursework supporting subsequent AI specialization.