Position: Data Scientist
Category: Data Science
English level: fluent
Years of experience: 2

Completed courses:
— Deep Learning Specialization (DNN, CNN, RNN) by DeepLearning.ai);
— Machine Learning by Stanford University (Coursera);
— Applied Machine Learning in Python by University of Michigan (Coursera);
— Introduction to Data Science in Python by University of Michigan (Coursera);
— Applied Plotting, Charting & Data Representation in Python by University of Michigan (Coursera);
Data Scientist with 2 years of experience and history of working in the retail industry and a research background. Hands-on experience with real data, resolving a variety of tasks in areas like NLP, Time Series, and Predictive Analytics, using Deep Learning and Machine Learning, Python (Pandas, Scikit-Learn, TensorFlow, etc.), SQL, statistics, and time series analysis
Projects:
— Customer churn prediction with the imbalanced dataset(~20% of positive class).
— Customer engagement prediction with a highly imbalanced dataset (~3% of positive class).
— Hourly/daily sales forecasting with different product categories and more than 40 selling points.
— Topic classification for 10k scientific documents with Top2Vec model on Sentence-BERT base.
More interested in Data Science/Machine Learning Engineer roles, than Data Analyst, Labeler ext.