Position: Data Scientist
Category: Data Science
English level: upper
Years of experience: 3

Developed a comprehensive labeling and custom object detection system by implementing a custom labeling tool using Python and Tkinter. Created training and prediction pipelines, built a RestAPI using the FastAPI framework, and deployed the entire system using Docker technologies.
 mindcraft.ai
 
Applied homography for image transformation.
Implemented instance segmentation using Mask-RCNN and TensorFlow. Utilized NumPy for optimization algorithms.
Built an object detection system using YoloV7.
Developed modeling systems for real-life applications.
Calculated confidence intervals for price prediction tasks.
I have over three years of experience in Programming & Data Science, specializing in Python, Computer Vision, Machine Learning, and Optimization algorithms. As a Team Lead, I have successfully managed projects in these areas.
My responsibilities as a Data Scientist span the entire data cycle, from preprocessing to developing decision-making systems. I have a strong foundation in Computer Vision (CV), Natural Language Processing (NLP), and Mathematics. I have experience in various technologies, including PyTorch, TensorFlow, CatBoost, LightGBM, XGBoost, scikit-learn, Hyperopt, Docker, and FastAPI.
Driven by ambition and a passion for learning, I continuously strive to excel in every task. I am committed to expanding my expertise and staying updated with the latest advancements in the field.