Resume

A clear summary of my path

Education, areas of work, and selected projects in one concise view; the PDF version is available to download.

Resume
01

Summary

An interdisciplinary background in engineering, sports nutrition, and sports physiology, while developing skills from data analysis toward data science and machine learning.

My primary focus is data analysis, health research, clear communication of results, and the use of automation tools to build reproducible workflows.

02

Education

Master's in Sports Physiology

Focus on nutrition

Bachelor's in Sports Nutrition

Health and performance sciences

Materials Engineering

Engineering and problem-solving background

03

Selected skills

  • Python
  • Pandas
  • SQL
  • Excel
  • Power BI
  • Machine Learning
  • Deep Learning
  • Docker
  • n8n
  • Research
04

Selected projects

Fatty Liver Prediction with Sex-Specific Models

A comparison of RF, SVM, GB, and KNN for predicting fatty liver disease in 306 adults with overweight or obesity; the men's Random Forest model achieved the best performance.

Breast Cancer Classification with Keras

Building and evaluating a neural network on the breast cancer dataset, including K-fold validation, Dropout, and hyperparameter tuning; test accuracy was approximately 98%.

Pneumonia Detection in Chest X-rays

Designing a CNN with Keras to classify chest X-ray images and examining performance differences across training, validation, and test sets.

05

Certificates and research experience

IBM Applied Data Science Capstone

Coursera certificate and final data science project

Master's research on fatty liver disease and machine learning

Sex-specific modeling with data from 306 clinical participants

Specialized workshops

Emerging methods to fight obesity and automation with artificial intelligence