Python
Tim Izmailov
Quant Data Scientist | Reinforcement Learning & Predictive Modeling
remote
Summary
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. 🚀
Overview
11
11
years of professional experience
10
10
years of post-secondary education
3
3
Languages
Work History
Freelance Trading Strategy Consultant
Freelance
remote, worldwide
02.2022 - Current
- Designed and implemented a reinforcement learning-driven trading system for BTC, optimizing trade execution through self-adaptive policy learning and real-time decision-making under uncertain market conditions.
- Developed a supervised learning-based predictive model for gold (XAUUSD), leveraging deep learning techniques to forecast market trends and improve execution strategies.
- Developed a portfolio of 60+ trading scripts for BTCUSDT in Python and Pine Script, generating consistent profits over two years with a profit-to-drawdown ratio of 5:1.
- Implemented machine learning models to identify market inefficiencies, enhancing the accuracy and profitability of trading algorithms.
- Pioneered a market phases approach to adapt trading strategies dynamically across different market conditions.
- Specialized in risk management strategies, utilizing dynamic stop-loss and take-profit mechanisms to optimize trade outcomes.
- Expert in aligning backtested results with real-time performance by applying techniques that ensure consistency across historical and live trading environments.
- Proficient in analyzing and improving complex trading systems of any level, quickly identifying areas for optimization and adjusting strategies for better performance.
- Skilled in cross-timeframe analysis and strategy diversification, ensuring resilience and profitability across volatile crypto market cycles.
- Extensive experience in algorithm optimization to prevent overfitting, ensuring robust performance under real market conditions.
- Consistent track record of high recovery factor (>4) over multiple years, demonstrating a focus on stable, risk-adjusted returns.
- Strong knowledge of advanced data handling for large datasets, backtesting, and live trading to support efficient, real-time decision-making.
Senior Data Scientist
Moonwalker Growth Strategies, LLC
remote, USA
01.2022 - 01.2023
- Led a team in creating predictive models for financial markets, focusing on time series forecasting and quantitative trading, which laid the groundwork for advanced algorithmic strategies.
- Developed automated trading strategies using Python and TSLab to forecast market movements, achieving consistent results across intraday and swing trading approaches.
- Specialized in optimizing trading algorithms to adapt dynamically to changing market conditions, with a focus on maintaining stable performance over time.
- Applied foundational risk management techniques including position sizing and initial stop-loss settings to improve trade stability.
- Built a portfolio of trading scripts in TSLab, creating strategies based on a range of indicators and statistical models to capture profitable opportunities in diverse market phases.
- Improved system resilience through parameter fine-tuning and testing, which contributed to steady returns, though slightly lower compared to current performance.
- Gained expertise in handling large financial datasets for backtesting and real-time strategy adjustments, building a solid basis for more complex, high-performance algorithms.
Data Scientist
SIBUR
05.2018 - 05.2020
- Led initiatives to optimize the supply chain for raw materials and finished products using advanced data science techniques, ensuring efficient and streamlined operations within SIBUR’s complex petrochemical environment.
- Developed and implemented predictive models and algorithms that significantly improved material flow and operational planning, adapting processes to fluctuating market conditions.
- Specialized in real-time data handling and analysis, managing large datasets to enhance supply chain adaptability and responsiveness to external dynamics.
- Combined statistical analysis, model optimization, and data visualization to generate actionable insights, supporting data-driven decision-making at every stage of the supply chain.
- Played a key role in aligning strategic and operational plans by optimizing material flows, ensuring that initiatives were both forward-thinking and practically executable.
- Tailored analytical approaches to respond to dynamic market changes, providing management with timely, precise insights to guide critical decisions.
- Automated data processing tasks using Visual Basic for Applications (VBA) in Excel, increasing efficiency and enhancing the quality of analysis across daily operations.
Data Analyst
Busfor
05.2017 - 05.2018
- Conducted comprehensive data analysis to optimize ticket sales and enhance customer experience, using insights to drive targeted improvements in service offerings.
- Developed financial models to support the startup's economic planning and strategic direction, aligning financial forecasting with growth objectives.
- Worked extensively with large datasets, analyzing trends, customer behavior, and key performance metrics to refine business strategies.
- Provided critical insights through data and financial analysis, directly influencing the startup’s strategic decisions and improving overall operational effectiveness.
- Enhanced decision-making capabilities by delivering robust financial models and data-driven solutions, equipping leadership with actionable insights for targeted growth.
- Applied advanced analytics to identify revenue opportunities, improving customer engagement and optimizing pricing strategies based on market trends and consumer demand.
Nuclear Physicist
Russian Research Center "Kurchatov Institute"
03.2014 - 09.2015
- Calculations for a water-water power reactor, assistance in setting up software
Education
Bachelor's Degree - Data Science
Neural University
Moscow, Russia 08.2020 - 10.2021
Bachelor's degree - Finance and Financial Management Services
Higher School of Economics
Moscow, Russia 09.2015 - 09.2018
Master's degree - Nuclear/Nuclear Power Technology/Technician
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
Moscow, Russia 09.2009 - 09.2015
Skills
Data sceince for finance
undefinedSoftware
Pinescript
Keras
Tensorflow
API Integration
TSLAB
Data Libraries (pandas, NumPy, matplotlib)
Meta Trader
Asynchronous Programming
VBA
Timeline
Freelance Trading Strategy Consultant
Freelance
02.2022 - Current
Senior Data Scientist
Moonwalker Growth Strategies, LLC
01.2022 - 01.2023
Bachelor's Degree - Data Science
Neural University
08.2020 - 10.2021
Data Scientist
SIBUR
05.2018 - 05.2020
Data Analyst
Busfor
05.2017 - 05.2018
Bachelor's degree - Finance and Financial Management Services
Higher School of Economics
09.2015 - 09.2018
Nuclear Physicist
Russian Research Center "Kurchatov Institute"
03.2014 - 09.2015
Master's degree - Nuclear/Nuclear Power Technology/Technician
National Research Nuclear University MEPhI (Moscow Engineering Physics Institute)
09.2009 - 09.2015
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