Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0

Created and analyzed datasets: Collected data on a topic of interest and used Python or R programming to clean, organize and analyze the data using the pandas and numpy libraries.
      Created data visualizations. Used matplotlib to create visualizations such as bar charts, line graphs, scatter plots, or heat maps that effectively communicate information from your dataset.
      Predictive modeling. Used statistical methods and machine learning algorithms to build predictive models using their data set and evaluate their accuracy using metrics such as root mean square or R-squared.
      Applied statistical tests. Used my knowledge of probability theory and statistics to implement statistical tests such as hypothesis testing, analysis of variance, or regression analysis to understand my data.
I started my journey in studying data analysis, I have knowledge of Python, R programming language, matplotlib, pandas, numpy libraries, I have good knowledge of mathematics and statistics, probability theory