Resumé
Andreas Tsouris
Data Science experience
PhD in Quantitative Genetics (2019-2023)
Statistical and machine learning analysis of transcriptomic data from >300 yeast hybrids and high-throughput phenotyping datasets (R, Bash, Python)
Development of dashboards to manage projects and sample collections (R Shiny, SQL)
Presentations in 3 international conferences and participation in 8 publications.
Training of interns and teaching at the university and high schools.
High-throughput genomics (short and long-reads sequencing), transcriptomics and phenotyping experiments.
SquashFlow Analytics (2023-)
End-to-end semi-automated pipeline for the analysis of squash match videos.
Player pose estimation using deep learning and cleaning of the pose results (Python, Tensorflow)
Data processing, calculation and storage of key metrics (Python, SQL)
Automated reporting
Formal education
PhD in Quantitative Genetics (2019-2023)
University of Strasbourg, France
Master in Molecular Biology and Genetics (2017-2019)
University of Strasbourg, France (Ranked 4/13)
Bachelor in Molecular and Cell Biology (2014-2017)
University of Montpellier, France (Ranked 8/66)
Data skills
Bash, SQL, Tableau, Excel, Docker
R: ggplot, shiny, tidyverse
Python: numpy, pandas, seaborn, tensorflow
PCA, tSNE, random forest, regressions, neural nets, statistical testing
Google Cloud: Preparing for the Cloud Engineer Associate Certificate
Language skills
English, fluent (Professional Proficiency)
French, fluent (Professional Proficiency)
Greek, native language (Professional Proficiency)
German, limited conversational ability
Other activities
Squash: Active squash player
Guitar: Anything with strings and frets basically...
Long resumé available here