Position: Data Scientist
Category: QA
English level: intermediate
Years of experience: 0.5


Utilized analytical, statistical and programming skills to collect, analyze, interpert and visualize data sets (NumPy, Pandas, Matplotlib, Seaborn ...)
Developed machine learning models using Scikit-learn (LightGBM, Logistic regression, Random Forest ...) for classification and regression tasks.
Applied transfer learning techniques using PyToch to adapt pre-trained model to specific tasks.
To have a job that provides a steady employment. 
To have the chance to advance in the company.