Open to opportunities

Dimitris Giouvanis

@dimitrisgiouvanis

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Data analyst and bioinformatician specializing in machine learning and transcriptomics.

Greece

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What I'm looking for

I seek a role applying ML and bioinformatics to biological or operational problems, in a collaborative, reproducible, and impact-driven team where I can grow technical and mentoring skills.

I am a data analyst and bioinformatician with hands-on experience applying machine learning to behavioral neuroscience and transcriptomics. I combine statistical rigor from my BSc in Statistics with applied bioinformatics training at the master's level to deliver reproducible, data-driven insights.

At Lund University I managed behavioral video datasets, developed preprocessing and training pipelines (YOLO, HRNet32), and trained deep learning models for motion tracking and dyskinesia detection in Parkinson’s disease rodent models. I implemented multi-camera triangulation and collaborated closely with neuroscientists to validate and deploy models.

During my internship at the University of Nova Gorica I completed a diploma thesis on gene expression analysis using PCA and OPLS-DA, performing end-to-end analysis in R-Studio on Linux, emphasizing reproducibility and scientific reporting. I also contributed to a WWF-Hellas hotel kitchen food waste project, collecting and visualizing operational data to support process improvements.

I bring strong programming and data-management skills (Python, R, SQL, Docker, Git), a practical understanding of sequencing and genomic analyses, and a collaborative, teaching-oriented approach. I seek roles where I can apply machine learning and bioinformatics to solve real-world biological or operational problems.

Experience

Work history, roles, and key accomplishments

Research Intern

Lund University

Mar 2025 - Aug 2025 (5 months)

Managed behavioral video data and annotations, developed training and evaluation pipelines for pose estimation models (YOLO, HRNet32), and trained deep learning models for motion tracking and dyskinesia detection in Parkinson’s disease rodent models.

Computer Vision YOLO HRNet32 Docker Python Pose Estimation Multi Camera Triangulation data preprocessing

Bioinformatics Intern

University of Nova Gorica

Nov 2022 - Jun 2023 (7 months)

Conducted diploma thesis on gene expression analysis using PCA and OPLS-DA, performed statistical modeling and visualization in R-Studio, and produced reproducible transcriptomics analyses and reports.

R OPLS DA data preprocessing Statistical Modeling Linux Data Visualization

Project Data Analyst

WWF-Hellas

Jul 2021 - Oct 2021 (3 months)

Collected and analyzed kitchen food waste data across 11 hotels, created weekly reports and visualizations in Excel, and supported staff training to reduce hotel food waste.

Data Collection Excel Reporting Data Visualization Waste Data Analysis Training

Education

Degrees, certifications, and relevant coursework

Aristotle University of Thessaloniki

Master of Science, Bioinformatics

2023 -

Activities and societies: Courses: Data Science, Biostatistics, Next Generation DNA sequencing, Proteomics and Functional Genomics, Biological Databases, Metagenomic Analysis, Population Genomics, Evolutionary Genomics, Data Mining, Applied Bioinformatics in Biotechnology and Biomedicine.

Pursuing a Master of Science in Bioinformatics with coursework in data science, biostatistics, NGS, proteomics, and applied bioinformatics; current project on eDNA biodiversity analysis.

University of the Aegean

Bachelor of Science, Statistics - Actuarial and Financial Mathematics

Activities and societies: Courses: Probabilities, Statistics, Regression Analysis, Calculus, Categorical Data Analysis, Variance Analysis, Numerical Analysis, Applied Linear Algebra, Differential Equations, Time Series, Stochastic Modeling, Statistical Software and Data Analysis.

Completed a Bachelor of Science in Statistics with emphasis on actuarial and financial mathematics and extensive coursework in probability, regression, time series, and statistical software.