Position: Machine Learning Enginner | Data Scientist
Category: Data Science
English level: upper
Years of experience: 2

Achieved Data Scientist Professional Certificate from Datacamp. Accomplished 100+ 4-hour Datacamp courses on several DS topics, from Importing Data to Model Fitting and Model Evaluation, get acquainted with several ML Models, solved several DS problems (Regression, Classification, Clustering). Completed many Career Tracks from DataCamp: Data Scientist with Python, Data Analyst with Python, Analyst with SQL Server.
Have finished DataQuest 240+ hours Data Scientist with Python Career Track and additionally have finished 365DataScience Data Scientist Career Path, have learned many crucial Data Science topics, such as Statistics and Probability, Linear Algebra, SQL, ML, Deep Learning.
Have proven commercial experience in various ML domains, from Risk Modelling and Recommendation Systems to Object Detection and Image Classification.

Tech Stack: Python, PyTorch, OpenCV, PIL, Streamlit, Pandas, Numpy, Seaborn, Plotly, SciPy, Scikit-learn, Imblearn, LGBM, XGB, CatBoost, Cornac, Implicit, LightFM, recommenders, H2O, Optuna, STEGO, YOLO, T-SQL, R(dplyr, ggplot2, data.table).

Data Science & Miscellaneous Technologies: Data science pipeline (cleaning, manipulating,visualization, modeling, interpretation, deployment), Statistics, Hypothesis Testing, Confidence Intervals, OOP, Git, Tableau, AWS S3/Lambda/EC2/CLoudWatch/SNS