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Ayoub Larouji

@ayoublarouji

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Data Analyst and BI Engineer who turns complex data into actionable insights.

France

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What I'm looking for

I’m looking for a BI/data role where I can build automated Power BI dashboards and KPI frameworks, apply Python (anomaly detection/NLP), and work with cross-functional teams to turn complex data into clear decisions.

I’m a Data Analyst and BI Engineer with a Master’s degree in Data Engineering & Artificial Intelligence (EFREI Paris) and 2+ years of hands-on experience in business analytics, BI reporting, and machine learning. At SCHINDLER, I designed and automated 10+ Power BI dashboards using DAX, M queries, and data modeling to enable self-serve data access for senior management and operational teams, and I built multi-channel KPI frameworks across operational, financial, and activity metrics.

I also develop Python-based anomaly detection algorithms with scikit-learn to improve data quality and governance across existing databases. My experience spans data engineering and applied analytics—configuring and optimizing Kafka pipelines for real-time healthcare data streaming, transforming and querying data from SQL and Oracle databases, and building forecasting and text-mining solutions with NLP techniques in Python—so I can consistently turn complex data into clear, actionable insights.

Experience

Work history, roles, and key accomplishments

Data Analyst / BI Engineer

Schindler

Nov 2023 - Sep 2025 (1 year 10 months)

Designed and automated 10+ Power BI dashboards (DAX, M queries, data modeling) for senior management and operational teams to enable self-serve data access. Built multi-channel KPI frameworks and developed Python-based anomaly detection algorithms (scikit-learn) to improve data quality and governance.

Power BI DAX Power Query Data Modeling KPIs Python scikit learn Anomaly Detection Data Governance

DUT Computer Science Data Engineer

Unicancer

Jul 2023 - Oct 2023 (3 months)

Configured and optimized Kafka pipelines for real-time healthcare data streaming.

Kafka Real Time Data Streaming Data Pipelines

Web Developer

Emmaluc

May 2022 - Jul 2022 (2 months)

Worked on front-end development (HTML, CSS, JavaScript) and module integration, implementing technical fixes and interface optimization based on client feedback. Also supported programming tasks using Python (pandas, scikit-learn) and SQL.

HTML CSS JavaScript Modules Client Feedback Implementation Python Pandas scikit learn SQL Machine Learning

ML & Statistics Software Developer

Infosat

Jul 2020 - Aug 2020 (1 month)

Built a person detection application in Python using OpenCV. Developed a speech-to-text voice recognition tool in Python and contributed to forecasting/regression and KPI modeling work.

Python OpenCV Speech to Text Voice Recognition Forecasting regression KPIs Simulation

Education

Degrees, certifications, and relevant coursework

EFREI Paris

Master of Science, Data Engineering & Artificial Intelligence

2023 - 2025

Activities and societies: Developed forecasting/analytics and ML solutions; applied Python and data engineering concepts for analytics and anomaly detection.

M.Sc. focused on Data Engineering & Artificial Intelligence for customer service operations. Covered business analytics, BI/reporting, and machine learning with hands-on work on data engineering and ML use cases.

IUT de Paris

Bachelor of Science, Decision Science & Statistics

2022 - 2023

Activities and societies: Built forecasting models for workload planning and activity projections; performed SQL/Oracle data querying and transformation.

B.Sc. in Decision Science & Statistics with a focus on health-data analytics. Worked on data transformation and analysis using SQL/Oracle to support forecasting and planning.

IUT de Paris - Rives de Seine

Diploma of University Technology (DUT), Computer Science (Data Engineering)

2021 - 2022

Activities and societies: Internship at UNICANCER (Jul 2023–Oct 2023): configured and optimized Kafka pipelines for real-time healthcare data streaming.

DUT in Computer Science with a data engineering emphasis, including practical industry exposure through an internship. Gained experience working with real-time data streaming and pipeline configuration.