Imane Benzegunine
@imanebenzegunine
I build data pipelines, dashboards, and predictive analytics that turn multi-source data into business decisions.
What I'm looking for
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
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
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.
Availability
Location
Authorized to work in
Job categories
Skills
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