Position: Data Scientist/Data Analyst
Category: Data Science
English level: upper
Years of experience: 2


Pet-projects

 COVID-19 World Vaccination Progress
  • Explored and visualized the COVID-19 vaccination data, dealt 
    with missing data using the Mann-Whitney U-test.
  • Analyzed the time series of daily amount of vaccinations, 
    transformed it to a stationary form for further forecasting. 
  • Built ARIMA models and chosen the best one with the AIC. 
    Predicted the amount of vaccinations around the world for the 
    next 7 days.
  • Technologies, which were used: Python, matplotlib, seaborn,    
    plotly, SciPy, statsmodels.

 Mobile Phones Data
  • Collected mobile phones’ prices/characteristics data and  
    transformed it. 
  • Created a class, intended for finding appropriate values to make.  
    relevant data cleansing.
  • Made an exploratory analysis along with visualization.
  • Technologies, which were used: Python, requests,  
    BeautifulSoup4, pandas, NumPy, matplotlib, plotly.

Skills

 ML stack: scikit-learn, XGBoost, LightGBM, statsmodels, keras,  
 TensorFlow, intermediate theoretical knowledge.
 Data Analysis, Preprocessing and Visualization: NumPy, pandas,  
 SciPy, matplotlib, seaborn, plotly, Tableau, MS Excel.
 Other : English (Upper Intermediate), OOP, Python, SQL (MySQL),  
 Web Scrapping, Statistics, Probability Theory, Linear Algebra,
 CSS, HTML, JavaScript, Java, git (basic).
I want to become a part of a friendly, ambitious team, which would help me to gain professional experience to become a great specialist.