Eslam Abuelella

Data Scientist | MSc Data Science | MSc Petroleum Geology | Python • ML • DL • TensorFlow • PySpark • SQL

Skills

Technical skills aligned with applied data science, geospatial analytics, and scalable analytical workflows.

Programming & Analytics

Python Python
R R
SQL SQL
Pandas Pandas
NumPy NumPy
Scikit-learn Scikit-learn
Matplotlib Matplotlib
Seaborn Seaborn
PySpark PySpark
TensorFlow TensorFlow
Keras Keras

Databases

SQL Server SQL Server
PostgreSQL PostgreSQL / PostGIS

Cloud

Microsoft Azure Microsoft Azure
ArcGIS Online ArcGIS Online

Microsoft Azure (Administrator Certified)

Tools

Jupyter Jupyter
RStudio RStudio
GitHub GitHub
VS Code VS Code
Spyder Spyder
Tableau Tableau
ArcGIS Pro ArcGIS Pro
ArcGIS Enterprise ArcGIS Enterprise
ArcGIS Dashboards ArcGIS Dashboards
ArcGIS Experience Builder ArcGIS Experience Builder
ArcGIS Insights ArcGIS Insights
QGIS QGIS
FME Form FME Form

Projects

Constraint-Aware ML

Constraint-Aware and Explainable Vehicle Fuel Prediction

Explainable and physically constrained machine learning framework for robust vehicle fuel consumption prediction under distribution shift, including manufacturer hold-out and cross-cycle transfer experiments.

Python Machine Learning Explainable AI Physics-Informed Constraint-Aware SHAP
View Project →
Fuzzy Data Integration Pipeline

Fuzzy Entity Resolution for Vehicle Dataset Integration

Reproducible fuzzy entity-resolution pipeline integrating fuel consumption and vehicle specification datasets using text normalisation, token-based matching, and Jaccard similarity.

Python Pandas Data Engineering Fuzzy Matching Jaccard Similarity
View Project →
Seismic Event Classification

Seismic Event Classification (ML – Research Grade)

Benchmarking classical machine learning models for multi-class classification of low-magnitude seismic events (M1–4) using USGS catalogue data under severe class imbalance.

Python scikit-learn Seismology Classification Imbalanced Data
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CO₂ Emissions Drivers in Canadian Vehicles

🍁 CO₂ Emissions Drivers in Canadian Vehicles

PySpark and Tableau workflow for scalable analysis of Canadian vehicle CO₂ emissions (1995–2023), combining distributed machine learning and feature importance analysis to identify the strongest emission drivers.

PySpark Spark ML Regression Big Data Analytics Tableau
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Animal Lifespan Analytics (AnAge Database)

Animal Lifespan Analytics (AnAge Database)

Exploratory data analysis of 4,000+ animal species from the AnAge database to investigate lifespan patterns across biological classes and examine the relationship between body mass and lifespan using Python & visual analytics.

Python Pandas EDA Data Visualisation Matplotlib Seaborn
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PCA & Multivariate Analysis of Global Life–Work Balance

Global Life-Work Balance Index Multivariate Analysis

Comparative Principal Component Analysis of the Global Life–Work Balance Index, uncovering regional structural differences and policy-healthcare drivers across global and European datasets.

R PCA ggplot2 Tidyverse dplyr Multivariate Analysis Policy Analytics
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Linear Regression from Scratch (Matrix-Based OLS)

Linear Regression From Scratch

Matrix-based Ordinary Least Squares implementation from first principles, demonstrating explicit linear algebra, dummy variables, and interaction effects.

NumPy Linear Algebra Statistical Modelling
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Blackjack Game Design in Python

Blackjack Game Design (Python)

Console-based Blackjack game implementing deck simulation, scoring rules, Ace handling, and rule-based dealer logic.

Python Game Logic Control Flow Rule-Based Systems
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Certifications

Publications

Implementation of Spaceborne Optical Data and Field Investigation for Geo-Structural Mapping of an Interior Rift Basin

Integrated spaceborne optical remote sensing with field investigations to map structural lineaments and tectonic features of the Kharit interior rift basin, Southeastern Desert, Egypt.

Remote Sensing Structural Geology GIS Satellite Data
View Publication →

Igneous Activity Around Kharit Basin Using Remote Sensing Data Analysis

Remote sensing–based analysis of igneous activity surrounding the Kharit Basin, highlighting magmatic structures and tectonic controls using satellite imagery and geospatial interpretation.

Remote Sensing Igneous Geology Geospatial Analysis
View Publication →