Position: Machine Learning Engineer
Category: Data Science
English level: upper
Years of experience: 0.5


I created several pet projects with python, SQL and machine learning:
Laptop price prediction 
• Pre-processed and performed exploratory data analysis to prepare data for model training.
• Created visual diagrams (histogram, scatterplot, box plot) and demonstration of correlation between
variables using matplotlib, seaborn.
• OneHotEncoded categorical data columns and trained regression and tree models from the sklearn
library to predict laptop prices.
Diseases database web application 
• Constructed database with PostgreSQL, resulting in systematically streamlined data tables with diseases
data.
• Developed an intuitive web application with CRUD (create, read, update, delete) functionalities by
Flask framework and SQLalchemy library.
OCT image segmentation 
• Analyzed over 2000 image data of the eye retina with python libraries pandas, numpy, matplotlib.
• Interpreted compared 2D 3D U-net’s performance for OCT image segmentation, leading to the successful
identification of suitable parameters for improved accuracy.
• Analyzed the performance of a 2D U-net model informed by 6 different loss functions using accuracy and recall metrics.