I'm proficient in the following tools and technologies:
- ๐ Python
- ๐ LGBM, Catboost, XGBoost
- ๐ Sklearn, Pandas, Numpy, Optuna, ...
- ๐ท๏ธ aiohttp, selenium, bs4, requests
- ๐ง TensorFlow, PyTorch (basic knowledge), Pytorch-lighting, PML
- ๐๏ธ SQL, ClickHouse, ๐ MongoDB, ๐ ELK (basic)
- ๐ง Linux, ๐ Git, ๐ณ Docker, ๐ Grafana, ๐ Dash, ๐ช ChatGPT + api
I've worked on some exciting projects as a Data Scientist, including:
- ๐ Time Series Forecasting (demand forecasting).
- ๐ฃ Development of a system and hardware for road infrastructure inventory using DL/ML approaches. Using multiple sensors such as: Lidar, RealSense, Basler, GNSS.
I've also contributed to several research projects in the field of Data Science:
- ๐ฅ Unraveling Time-Slices of Events in the JINR SPD Experiment.
- ๐ก๏ธ Predicting heavy metal pollution using satellite imagery and machine learning (MOSS JINR).
- ๐ Reconstruction of the properties of crystalline hydrates using statistical methods and machine learning.
- ๐จโ๐ผ Assessment of the engagement process using computer vision.
If you're interested in collaborating or learning more about my work, feel free to reach out to me at: