Ευάγγελος Φέκας

@000343

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Data Scientist specializing in machine learning and anomaly detection.

Greece

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What I'm looking for

I am seeking a role that fosters innovation and offers opportunities for growth in machine learning and AI.

I am a dedicated Data Scientist with a strong background in machine learning and deep learning, currently working at Deutsche Telekom on large-scale anomaly detection projects. My expertise lies in developing and deploying scalable solutions, optimizing model performance, and leveraging cloud technologies like AWS and GCP. I thrive on tackling complex challenges and delivering impactful results.

Throughout my career, I have successfully contributed to various projects, including audio research, travel website systems, and energy forecasting. My academic background includes a Master’s degree in Electrical and Computer Engineering from the National Technical University of Athens, where I honed my skills in biometric signal analysis and self-supervised learning. I am passionate about continuous learning and have actively participated in competitions, securing top positions and contributing to innovative solutions.

Experience

Work history, roles, and key accomplishments

Current

Data Scientist

Current

Deutsche Telekom

Jun 2024 - Present (1 year)

Developed and deployed a scalable anomaly detection solution for log entries generated by internal applications. Contributed to the entire pipeline, including data preprocessing, log parsing, feature extraction, and training autoencoder models. Optimized model performance and deployed the solution on AWS and GCP.

Anomaly Detection AWS GCP Feature Extraction Optimization Python Machine Learning data preprocessing

Data Scientist

Athena Research Center

Oct 2023 - Jun 2024 (8 months)

Reproduced top-performing models such as ASTransformer and MusicCNN from scratch. Applied implementations to benchmark datasets focusing on sentiment classification.

ASTransformer MusicCNN Model Reproduction Benchmarking Python Deep Learning Machine Learning Data Analysis Research

Data Scientist

LIBRA AI Technologies

Jun 2021 - Oct 2023 (2 years 4 months)

Developed a system for a travel platform integrating various data sources. Enhanced sales conversion efficiency through gradient boosting algorithms and automatic responses. Conducted demand forecasting and energy savings assessments.

Gradient Boosting Document Classification Python Machine Learning Data Integration Deep Learning

Education

Degrees, certifications, and relevant coursework

National Technical University of Athens

Master of Engineering, Electrical and Computer Engineering

2015 - 2021

Completed a Master of Engineering (M.Eng.) in Electrical and Computer Engineering, focusing on advanced topics in engineering and technology. Engaged in various projects and research, enhancing skills in machine learning, signal processing, and data analysis.