Position: Junior/Trainee Data Scientist
Category: Data Science
English level: intermediate
Years of experience: 0


I don't have commercial experience but developed these projects:
• Vehicle Detection with Remote Sensing. Project for ground vehicle detection using satellite images. Received mAP score: 0.65. Used technologies: yolov5, Roboflow, wandb
• Simple music recommender bot for discord. Implemented naive KNN for recommender system. Can play songs in discord channels and propose new ones. Used technologies: discord, tekorn, sklearn, pandas, Flask, sqlalchemy
• Diamond price prediction. Prediction price of diamond by its characteristics using gradient boosting method and DNN. Results: R2 = 0.98 for Boosting and R2 = 0.97 for DNN respectively. Used technologies: pandas, seaborn, sklearn, statsmodels, LightGBM, PyTorch.

I continue self-improving so I learn MLOps principles and techniques.