Aleksandra Redina

Education
  • course at   IBM Python Data Science Course, edx.org
  • Python Basics for Data Science
  • Analyzing Data with Python
  • Visualizing Data with Python
  • Machine Learning with Python: A Practical Introduction

Aleksandra Redina

Work experience
  • internship at   Samsung Electronics UA, Kyiv, Ukraine
  • January, 2022 - February, 2022
  • Fulltime
  • I was an intern in a bioacoustic signal processing and analysis project. I studied machine learning theory working with datasets, mathematical transformations of signals and used Python libraries such as scikit-learn, numpy, matplotlib, librosa, pandas.

Aleksandra Redina

Education
  • bachelor of mathematics at   Taras Shevchenko National University Of Kyiv
  • C++ and Python programming languages
  • Linear algebra and geometry
  • Algorithms and data structures
  • Mechanics
  • Mathematical analysis