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abdou daoul

@abdoudaoul

Data Analyst focused on machine learning, Python/SQL, and building AI systems like RAG with measurable results.

What I'm looking for

I want to deepen my technical knowledge while contributing to innovative AI research projects—especially improving RAG, summarization, and evaluation—using Python, SQL, and cloud-based analytics to turn data into measurable impact.

I’m a Data Analyst and a Computer Science Master’s student with a strong foundation in Python, data analysis, and machine learning. I apply Python, SQL, and cloud platforms to explore data, build predictive models, and create efficient workflows.

In my geospatial role, I analyzed large-scale AIS (Automatic Identification System) datasets using BigQuery and SQL to extract patterns and insights. I designed interactive dashboards for decision-making, and I applied machine learning models—clustering, regression, and classification—to predict vessel behaviors and identify anomalies.

I also train and support teams as an Information Technology Certified Trainer, delivering SQL, Power BI, Azure, and cloud services training. I’m currently experimenting with Retrieval-Augmented Generation (RAG) systems and large language models (LLMs), focusing on context grounding, knowledge distillation, and automatic prompt optimization—especially for improving RAG, summarization, and evaluation of AI-generated outputs.

Experience

Work history, roles, and key accomplishments

NA

Current

Certified Trainer

Current

Nova Academy

Dec 2025 - Present (4 months)

Designed and delivered training on SQL, Power BI, Azure, and cloud services, helping participants apply modern BI and analytics tools. Built hands-on Python and data visualization modules and taught data modeling to support analytics-driven decision-making.

SQL Power BI Microsoft Azure Cloud Services Python Data Analysis Data Visualization Data Modeling Training Delivery

SB

Geospatial Data Analyst

Spartan Maritime Sdn Bhd

Jan 2024 - Dec 2025 (1 year 11 months)

Analyzed large-scale AIS datasets in BigQuery using SQL to extract operational patterns and insights. Built interactive dashboards and applied clustering, regression, and classification models to predict vessel behavior and detect anomalies.

BigQuery SQL AIS Machine Learning Clustering regression Classification Anomaly Detection Dashboard Development

BF

Data Science Intern

BCG Via (Forage)

Completed a customer churn analysis simulation using exploratory data analysis, feature engineering, and model optimization. Trained and evaluated a Random Forest model (85% prediction accuracy) and delivered executive-level insights to guide business decisions.

Optimization Random Forest Churn Modeling Machine Learning Model Evaluation Python

Education

Degrees, certifications, and relevant coursework

SC

South Europe College

Master’s in Information Technology, Information Technology

Master’s program in Information Technology (in progress), expected to graduate in 2026. Coursework includes software engineering, database systems, cloud computing, and web technologies focused on building scalable applications and data-driven systems.

Tech stack

Software and tools used professionally

SQL

Jan

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