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Imane BenzegunineIB
Open to opportunities

Imane Benzegunine

@imanebenzegunine

I build data pipelines, dashboards, and predictive analytics that turn multi-source data into business decisions.

Morocco
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What I'm looking for

I'm looking for data engineering, analytics, or AI opportunities where I can build reliable pipelines, dashboards, and predictive solutions, while growing in an international, remote, or relocation-friendly environment.

I've built data and AI solutions at Inetum, Akkan Crowdfunding, 3D Smart Factory, and Everest Indus, turning raw multi-source data into reliable pipelines, KPIs, dashboards, and predictive insights.

At Inetum, I designed a Microsoft Fabric pipeline for ServiceNow incident tracking using a Lakehouse medallion architecture, star schema, Power BI dashboards, anomaly detection, Teams alerts, and a RAG solution with hybrid semantic search and LLMs. At Akkan Crowdfunding, I deployed Big Data infrastructure for 10+ simultaneous clients and implemented ETL pipelines feeding customized analytical data warehouses and dashboards.

I've also built image-classification pipelines reaching 92% accuracy, real-time financial market tracking systems, vehicle price prediction pipelines, and graph-based job recommendation systems. I enjoy combining Python, SQL, cloud platforms, BI, machine learning, and data engineering to support better decisions.

Experience

Work history, roles, and key accomplishments

Inetum logoIN

Data & AI Engineer (Internship)

Mar 2026 - Aug 2026 (5 months)

Designed a Microsoft Fabric data pipeline for ServiceNow incident tracking, using an automated medallion architecture on Lakehouse with Notebooks for cleaning, feature engineering, and KPI computation. Modeled a star schema and built Power BI dashboards with DAX measures; automated the data flow via a scheduled Data Pipeline with anomaly detection and Teams alerting.

Education

Degrees, certifications, and relevant coursework

EB

ENSA Berrechid

Engineering Degree, Information Systems & Big Data

2021 - 2026

Pursuing an Engineering Degree in Information Systems & Big Data, with coursework in data engineering, analytics, and big data technologies.

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