Serafeim Loukas, Ph.D.

Serafeim Loukas, Ph.D.

Data Scientist @ IATA (Geneva) | PhD@EPFL, MSc@UNIGE, BSc@NTUA | Data Science | Machine Learning | Biomedical Engineering | Statistical Analysis.

Short bio

Since August 15th, 2024 I have been working as a Data Scientist at the International Air Transport Association (IATA, Geneva Office).

At IATA, I am designing and implementing cross-divisional data science and machine learning solutions that drive business value across IATA’s global aviation network. I am collaborating with data architects and engineering teams to develop advanced models and algorithms that tackle complex business challenges. I am leading initiatives in data collection, transformation, and analysis, while recommending improvements to our data environments and submission standards.

Additionally, I serve as IATA’s main representative at the European AI Office in drafting the first General-Purpose AI Code of Practice, and I contribute actively to IATA’s Artificial Intelligence Technical Board.

Prior to this, I worked as a Data Scientist in the Medical Algos and Data (MAD) team at Natural Cycles (Geneva, Switzerland) from March 2023 to May 2024.

Before joining NC, I worked as a Researcher/Data Scientist at the University of Geneva & University Hospital of Bern since the 1st of June & July 2021, respectively. I hold a Ph.D. in Electrical Engineering from the Swiss Federal Institute of Technology Lausanne (EPFL), a M.Sc. in Neuroscience from the University of Geneva, and a Diploma in Electrical & Computer Engineering, equivalent to an M.Eng., from the National Technical University of Athens.

Expertise

I am particularly motivated and passionate about data science, machine learning, AI, biomedical/electrical engineering, computational modeling and more generally about data analysis. I have been awarded the Summa Cum Laude Merit Award & Best Poster Award for my research (see LinkedIn profile). I am expert in many fields of DS including hypothesis testing, statistics, classification, regression, clustering, and timeseries forecasting.

I am an engineer experienced with gathering, cleaning, and organizing data for use by technical and non-technical personnel. I have a deep understanding of machine learning, statistical learning, and other analytical techniques. I am highly organized, motivated and diligent with significant background in electrical & computer engineering, and data science. I am proficient in Python & MATLAB. I also use R for statistical/hypothesis testing. I am motivated and passionate about data analysis (engineering & computational modeling) and more generally data science.

I rank 12 all-time respondent for Machine Learning on Stack Overflow.

Main skills: Data Preparation, Analysis & Visualization, Machine Learning, Statistics & Probability, Signal Processing, Network science, and Graph theory.

Interpersonal skills: Teamwork, Critical thinking, Creativity, Communication & Scientific Report Writing, and Supervision.

Consulting Services

I also offer bespoke consulting services covering a wide spectrum of your data needs. From building machine learning models to strategic data analytics planning, our extensive experience enables us to provide practical and effective solutions. See my Patreon website and/or my Linkedin Service page.

• Amazon SageMaker Studio for Data Scientists by AWS

• Deep Learning with TensorFlow by DataCamp

• Deep Learning with PyTorch by DataCamp

• Generative AI with Large Language Models by DeepLearning.ai

• Introduction to Large Language Models by Google Cloud

• Applied Machine Learning in Python by University of Michigan

• Neural Networks and Deep Learning by DeepLearning.ai

• Statistical Data Visualization with Seaborn by Coursera

• Exploratory Data Analysis with Python by Coursera

• Using Databases with Python by Coursera

• Python, ranking in the Top 10% by TestDome

• Snowflake Fundamentals by Snowflake

• Snowflake For Data Science by Snowflake

Selected Websites: