ma4ypic4y Goto Github PK

I'm proficient in the following tools and technologies:

• 🐍 Python
• 🚀 LGBM, Catboost, XGBoost
• 📊 Sklearn, Pandas, Numpy, Optuna, ...
• 🕷️ aiohttp, selenium, bs4, requests
• 🧠 TensorFlow, PyTorch (basic knowledge), Pytorch-lighting, PML
• 🗃️ SQL, ClickHouse, 🍃 MongoDB, 🔍 ELK (basic)
• 🐧 Linux, 📜 Git, 🐳 Docker, 📊 Grafana, 🌐 Dash, 🪄 ChatGPT + api

I've worked on some exciting projects as a Data Scientist, including:

• 📈 Time Series Forecasting (demand forecasting).
• 🛣 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:

• 💥 Unraveling Time-Slices of Events in the JINR SPD Experiment.
• 🌡️ Predicting heavy metal pollution using satellite imagery and machine learning (MOSS JINR).
• 💎 Reconstruction of the properties of crystalline hydrates using statistical methods and machine learning.
• 👨‍💼 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: