Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 0.5

SKILLS

Programming:
Python

Data analysis:
Pandas
NumPy

Data Visualization:
Matplotlib
Seaborn
Plotly

Machine Learning:
Scikit-learn
PyTorch
TensorFlow
OpenCV

Database management:
MySQL

Code management tools:
Git

Virtual Research Environment:
Jupyter Notebook
Google Colab
Anaconda Navigator

Editing and review
Corporate Communications
Content Generation
Who I am?
I am a highly motivated junior data scientist, who wants 
to take his skills to the next level.

I have successfully completed the course ‘Data Scientist’ from Study Space Academy.

I have learned how to use Python, Jupyter Notebook, and Google Colab for data analysis and data visualization. Throughout the course, I obtained a comprehensive understanding of various data science algorithms, required libraries for data analysis, such as Numpy, Pandas, Matplotlib and Seaborn, Plotly and Sweetviz, OpenCV, Scikit-learn, and others.
Under this course, I developed practical skills and hands-on experience in working with real-world datasets.

This knowledge helped me to cope with my project: 
'USA Real Estate Price Prediction'.

Carrying out this project, I gained a unique experience in creating effective price forecasts and their visualization.

Pet-project:
1. 'Prediction of Breast Cancer Diagnosis: benign or malignant'.

Now I am seeking a job where I would have the opportunity to implement my new data science skills for working on challenging projects.

My data science knowledge:
•	analyze and interpret complex data sets using Python;
•	experience in data machine learning, and statistical analysis;
•	develop predictive models utilizing machine learning algorithms;
•	develop and execute data-driven experiments to test hypotheses;
•	collaborate with cross-functional teams to develop data-driven solutions;
•	present data analysis findings to stakeholders in a clear and concise manner;
•	improving data science techniques through research and development.