Pavlos G.
Traffic Conflict Severity Modeling using Machine Learning
Experience
Traffic Conflict Severity Modeling using Machine Learning
Developed predictive models for PET-based traffic conflict severity estimation using supervised learning techniques and performance evaluation across multiple feature sets.
Performed cluster analysis and implemented a SOM NN in multiple feature sets.
Tools Used: Python, Pycharm
Concept Drift Detection in Crash Severity Analysis and Modeling for Road Traffic Accidents in Victoria, Australia
Implemented a machine learning framework to predict crash severity while addressing data drift over time.
Utilized online drift detection methods (e.g., Drift Detection Method, DDM) to identify performance degradation and trigger model retraining, improving adaptability and predictive accuracy in dynamic traffic environments.
Tools Used: Python, Pycharm, River Library
Hydrological Analysis and Flood Hydrograph Generation for the Almyros Municipality, Magnesia
- Performed hydrological basin analysis and generated flood hydrographs for critical points in the Almyros Municipality using HEC-HMS software, integrating terrain preprocessing, SCS-CN loss method, Clark unit hydrograph, and Muskingum routing for a 100-year return period design storm.
Internship
TEDRA Group
- Assisted with various duties of several on site engineers on the construction of a solar sludge drying unit in Larissa, Greece.
Assessment and Solutions for Sidewalk and Parking Issues in Volos, Greece
- Conducted a detailed study on the condition of sidewalks and parking challenges in key areas of Volos, analyzing their impact on urban accessibility and proposing sustainable improvements.
Data Analysis on Public Transport Systems in Volos, Greece
Performed a comprehensive study on the public transport systems in Volos, Greece with the help of an analysis of data collected from questionnaires.
Tools Used: Python, Pycharm, Google Colab.
Data Analysis on live metrics gathered from Astiko KTEL Volou
Performed a fully comprehensive data analysis on various metrics and variables gathered live from the functioning hours of Astiko KTEL Volou, a bus service company in Volos, Greece.
Tools Used: R, R Studio, Python, Pycharm, Javascript, HTML
Flood and Vegetation Impact Analysis in Volos, Greece
Analyzed live and past satellite images with the help of Google Earth Engine in order to calculate the impact of the catastrophic flood Daniel in Sept 2023, in Volos, Greece.
Tools Used: Google Earth Engine, Python, Javascript
Road Traffic Accidents and Deaths Analysis and Prediction
Conducted a comprehensive analysis and time series forecasting of road accidents and fatalities in Greece (1996–2022), using statistical and deep learning models.
Tools Used: R, RStudio, Python, Pycharm, Scikit-Learn, Pytorch, PostgreSQL, pgAdmin4, Excel
Languages
Education
University of Thessaly
Master’s degree and diploma of civil engineering, major in transportation engineering · Civil Engineering · Volos, Greece · 7.35/10.0
Certifications & licenses
Artificial Intelligence for Road Safety and Mobility Workshop Certificate of Attendance
Machine Learning A-Z: AI, Python and R
Udemy
Introduction to Time Series Analysis and Forecasting in R
Udemy
SFHMMY 16 Certificate of Attendance
Data Science and Machine Learning Bootcamp with R
Udemy
Nestle Data Skills Day Certificate of Attendance
Statistics for Data Analysis Using R
Udemy
Emerging Tech Conference Certificate of Attendance
R Programming A-Z: R For Data Science with Real Exercises
Udemy
SFHMMY 14 Certificate of Attendance
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