Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 2.5

Data Scientist with ability to data gathering and transform into useful information. Knowledge of Statistics, Maths (e.g., Probability theory, Linear Algebra, Calculus) and Physics. Capable to work with Machine Learning algorithms (Linear Regression, Logistic Regression, Decision Trees, Random forest, KNN, K-means, Naive Bayes and etc.)
Work experience: New Hope Supplies LLC / Internship / Apr.2022.
Role: Data Cleansing, Regression analysis of the relationship between company stock prices and industry and etc.

Projects: 1) X-class Solar flares prediction using ML. (Statistically analyzed historical data, then used Decision tree and Random Forest algorithms. Created models for predicting.
2) Pfizer EDA analysis. (Vaccine sentiment analysis by importing the necessary Python libraries and the dataset.)