Evgeny Orlov Email & Phone Number

Russia

Role and Responsibility:• Led a team of data scientists and cross-functional teams• ML Architecture, Code reviews, Team management• Tech stack: Python, Docker, SQL, Apache Spark, Flask, FastAPI, LLM, AI Chatbots, ChatGPT, Tensorflow, PyTorch, XGBoost, ClickHouse, MongoDB, GCP, Azure ML, Pandas, Numpy, SciPy, Sklearn, PySpark, Matplotlib, SPSS, Alteryx, MySQL• ML tasks: Regression, Classification, Clusterization, NLP, Optimization at large scales, Recomendations, Computer vision,… Show more Role and Responsibility:• Led a team of data scientists and cross-functional teams• ML Architecture, Code reviews, Team management• Tech stack: Python, Docker, SQL, Apache Spark, Flask, FastAPI, LLM, AI Chatbots, ChatGPT, Tensorflow, PyTorch, XGBoost, ClickHouse, MongoDB, GCP, Azure ML, Pandas, Numpy, SciPy, Sklearn, PySpark, Matplotlib, SPSS, Alteryx, MySQL• ML tasks: Regression, Classification, Clusterization, NLP, Optimization at large scales, Recomendations, Computer vision, Data visualization, Model selection, Feature Engineering, MLOPS, Model deploying, performance monitoringKey Accomplishments:• Increased up to 20% the profitability of a client’s promotions by implementing new discounts optimization system based on decision tree demand prediction model• Implemented x10 faster data processing in Ad-hoc analysis by introducing ClickHouse in project and refactoring python code to implement this db into the whole business process • Improved by 10% accuracy of a classification model that helped to achieve target metrics and finish project that was “in developing” status during 4 years of R&D• Designed ML solution that achieved a 10% increase in aluminum grade prediction accuracy• Developed and deployed a document layout prediction system with AP50 > 70%• Developed and implemented a multi-dimensional Bayesian network to enable the establishment of a priori knowledge sources for a large-scale legacy project• Developed and deployed 90%+ MAPE model in price-per-square meter forecasting task• Replaced expensive hydrodynamic calculations with neural net model for oil prediction that made possible to calculate millions of possible scenarios that was previously unreachable Show less

Omsk, Russia

• Experience in analyzing and developing financial models in industries: Manufacturing, Sea Port, Medical services, Agriculture, Reselling, Private equity business• Stock selection and analysis for clients based on financial statements analysis and financial modeling• Developed automated trading strategies for currency futures and stocks based on visual-programming software for trading. It helped to double deposit during 3 months of 2014• Improved money-management system… Show more • Experience in analyzing and developing financial models in industries: Manufacturing, Sea Port, Medical services, Agriculture, Reselling, Private equity business• Stock selection and analysis for clients based on financial statements analysis and financial modeling• Developed automated trading strategies for currency futures and stocks based on visual-programming software for trading. It helped to double deposit during 3 months of 2014• Improved money-management system for high-risk option strategies that helped to lower risks• Developed a risk-preference portfolio for clients based of financial engineering• Ad-hoc complex analysis of big amount of accounting data using Python, Alteryx and Power-BI•. Lead team of 2-3 less experienced colleagues: setting tasks, deadlines, review of work done• Deep knowledge of accounting standards: IFRS, Russian GAAP Show less

Master'S Degree, Accounting And Finance, 4,2

Bachelor'S Degree, Accounting And Finance, 4,5