Looking for a job

Batoul Djogh

@batouldjogh

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I build data pipelines, Power BI reporting, and explainable AI models for business and remote-sensing applications.

Algeria

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What I'm looking for

I'm looking for a data-focused role where I can build reliable analytics, ETL pipelines, dashboards, and explainable AI solutions while continuing to grow in data science and machine learning.

I'm currently analyzing telecom client data at ATM Mobilis to detect fraud, anomalies, and incorrect or missing records while improving data quality, reporting, and compliance processes.

At Deltalog, I delivered Power BI dashboards for multiple clients, modeled data warehouses, and automated ETL pipelines for integrating, cleansing, and transforming heterogeneous data. I also orchestrated workflows to keep reporting data reliable and timely.

My research at the Algerian Space Agency applied Grad-CAM, LIME, and SHAP to CNN crop-classification models using satellite imagery. I've also built multilingual speech-recognition and Arabic handwritten-character recognition projects, and developed the SpectroXAI-LLaMA explainability framework.

Experience

Work history, roles, and key accomplishments

Current

Data Analyst

Current

ATMMobilis

Dec 2025 - Present (9 months)

Analyzed telecom client data to detect fraud, anomalies, and incorrect or missing records. Collaborated with teams to improve data quality, reporting, and compliance processes.

Data Analysis Fraud Detection Anomaly Detection Data Quality Reporting Compliance

BI Developer

Deltalog

Jun 2025 - Dec 2025 (6 months)

Designed and delivered interactive Power BI dashboards tailored to business needs for multiple clients. Modeled and implemented data warehouses, built and automated ETL pipelines, and orchestrated data workflows for reliable reporting.

Power BI Data Warehouse ETL Data Integration Data Cleaning data transformation Workflow Orchestration

Research Intern – Explainable AI for Remote Sensing

Algerian Space Agency

Dec 2024 - Jun 2025 (6 months)

Applied XAI methods (Grad-CAM, LIME, SHAP) to CNN models for crop classification from satellite images. Developed a self-refining explanation loop to enhance model interpretability and accuracy.

Explainable AI Grad CAM LIME SHAP CNN Remote Sensing Image Processing Model Interpretability

Education

Degrees, certifications, and relevant coursework

University of Algiers 1

Master's, Data Science and Analysis

2023 - 2025

Master's in Data Science and Analysis with core courses in machine learning, deep learning, BI, data analysis, data mining, big data, optimization, and simulation.