Skills
Overview
- Languages:
- Programming: C++, Java
- Scripting: Python, JavaScript
- Statistics: R, SAS, STATA, SPSS
- Markup: HTML, LaTeX
- Native English, Fluent Greek
- Operating Systems: Windows, Linux
- Visualization Software: VMD, NAMD, Spotfire
- Data:
- Web Scraping
- Data Cleaning
- Annotation & Labeling
- SQL
- Python Packages: NumPy, Pandas, OpenCV, Matplotlib, TensorFlow, PyTorch
Where I Have Learned & Used Each Skill
- Python - GRASP Lab, UCLA STATS 131, GaTech CS 6475, GaTech CS 7638, GaTech CS 6476
- C++ - UCLA COMPTNG 10A & 10B
- Java - AP Computer Science, GaTech CS 6460
- JavaScript - GRASP Lab
- HTML - Johnson & Johnson Internship, GRASP Lab
- R - UCLA STATS 20, 100 series, 101 series, 102 series, 130
- RShiny - Johnson & Johnson Internship, UCLA STATS 140SL
- SAS, STATA, SPSS - UCLA STATS 130
- LaTeX - UCLA STATS 140SL
SQL - GRASP Lab, UCLA STATS 131
- NumpPy - GRASP Lab, UCLA STATS 131, GaTech CS 6475, GaTech CS 7638, GaTech CS 6476
- Pandas - GRASP Lab, UCLA STATS 131
- OpenCV - GRASP Lab, GaTech CS 6475, GaTech CS 6476
- Matplotlib - GRASP Lab, UCLA STATS 131
- TensorFlow - GRASP Lab, Udacity Intro to TensorFlow for Deep Learning
PyTorch - GRASP Lab, Udacity Intro to Deep Learning with PyTorch
- VMD - Biomedical Research Foundation Academy of Athens
- NAMD - Biomedical Research Foundation Academy of Athens
Spotfire - Bristol-Meyers Squibb
- Windows - Personal Use, UCLA, GaTech, Johnson&Johnson, Bristol-Meyers Squibb
- Linux - GRASP Lab, Biomedical Research Foundation Academy of Athens