Position: Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 5

Speaker on local DS courses for students.
•	Research and Development of solution architecture for object detection (keras, azure)
•	Research and Development solution for semantic segmentation (pytorch).
•	Research and Development solution for demand forecast based on time series (R, XGBoost/LightGBM, DHC)
•	Research and Development solutions for people tracking and counting, indoor and outdoor (keras, face identification)
•	Research and Development solution for analysis questionnaire of values (Word2Vec/BERT, CoreNLP, sentiment analysis)