Nikita Kolenkovski

Time-series forecasting, quantitative finance, order book modeling, LSTM, deep learning for trading, ONNX optimization, reinforcement learning (RL), anomaly detection, algorithmic trading systems, high-frequency data processing, feature engineering, Python ML pipelines, data cleaning automation, model stability analysis, BFP (Big Forex Players) analytics, neural networks for market microstructure, AI-driven trading strategies, streamlit dashboards, ML model deployment, MLOps, Hugging Face datasets & models.