Position: Data Engineer
Category: Data Science
English level: upper
Years of experience: 2.5


Work experience: 2.5 years
Samsung Electronics Ukraine R&D Center | Software Engineer | Mobile Commercialization for CIS customers

I am looking to make a career change and start working in the data science field.

In preparation for that, I finished many paid courses through which I worked with and obtained the following technologies/skills:

Programming: Python, R, SQL

Data Science Packages: pandas, NumPy, matplotlib, seaborn, sklearn, XGBoost, TensorFlow 2, Keras

Data Science Algorithms:
•    Classification (Logistic Regression, Naïve Bayes, KNN, SVM, Decision Tree, Random Forest, XGBoost)
•    Regression (Linear, Multiple Linear, Polynomial, SVR, Decision Tree, Random Forest, XGBoost)
•    Clustering (K-Means, Hierarchical)
•    Association Rule Learning (Apriori, Eclat)
•    Reinforcement Learning (UCB, Thompson Sampling)
•    Deep Learning (ANNs, CNNs)
•    Cross-validation (k-fold)
•    Hyperparameter tuning (GridSearch)

Tools:
•    PostgreSQL
•    MS SQL
•    SSIS
•    Jupyter Notebook
•    Tableau
I am very passionate about data science in general. My goal is to constantly learn and improve while applying my skills in practice. Currently, I am continuing studies in the field of ML/DL and aiming to grow fast.