Python
With over nine years of experience in data science and quantitative finance, specializing in cryptocurrency markets and forex, I develop AI-driven predictive models, statistical frameworks, and automated trading systems that generate data-backed insights and advanced trading strategies.
Expert in machine learning, time-series forecasting, and financial modeling, applying advanced quantitative analysis and risk management techniques to create resilient, high-performance trading systems. My work spans crypto asset pricing, market anomaly detection, and algorithmic risk assessment, ensuring adaptability to market volatility while maintaining robust risk control.
Led the development of AI-based trading systems using Python, Pine Script, and custom frameworks, achieving profit-to-drawdown ratios exceeding industry benchmarks. Built reinforcement learning models for BTC trading and trend-forecasting neural networks for gold (XAUUSD), integrating data-driven decision-making into financial market strategies.
Skilled in both intraday and swing trading models, focusing on quantitative research, market phase analysis, and portfolio adjusting. My experience extends beyond trading, having provided data-driven insights for fintech startups, institutional investors, and large-scale industries, demonstrating versatility in financial data science, AI applications, and strategic analytics.
Combining technical expertise, strategic insight, and a results-driven approach, I am committed to advancing financial data science and AI-driven market research. 🚀
Data sceince for finance
undefinedPython
Pinescript
Keras
Tensorflow
API Integration
TSLAB
Data Libraries (pandas, NumPy, matplotlib)
Meta Trader
Asynchronous Programming
VBA