Aleksandr Popenov Email & Phone Number

Russia

Moscow, Russia

* Development and maintenance of ranking models for e-commerce platform

Moscow, Russia

Development and maintenance of machine learning models, including data gathering, analysis, preparation, and cleaning, selection of suitable algorithms and features for model training, models deployment. Testing and evaluation of model performance to ensure accuracy and efficiency. Design and creation of reports, dashboards, and data visualizations. Hypothesis testing to validate findings and insights derived from data analysis. Cross-functional collaboration and interaction with other teams and departments.Updated models for spam detection utilizing Large Language Models (LLMs), resulting in a 5% reduction in the number of spam calls.Trained and improved service ranking models, leading to a 10% increase in service revenue.Designed and automated marketing processes, including ad purchase and identification of target queries and users using ML models, resulting in a 15% reduction in marketing costs.* Updated models for spam detection utilizing Large Language Models (LLMs), resulting in a 5% reduction in the number of spam calls.* Trained and improved service ranking models, leading to a 10% increase in service revenue.* Designed and automated marketing processes, including ad purchase and identification of target queries and users using ML models, resulting in a 15% reduction in marketing costs.

Moscow, Moscow City, Russia

* Analyzed user retention metrics and conducted experiments to enhance retention rates.* Developed a product metrics dashboard using custom BI tools.* Improved and maintained an analytical data store built on raw logs for advanced business analysis and reporting.* Converted "Business chat API" project code from Python 2 to Python 3.

Novosibirsk, Russia

* Contributed to the development of a mobile application allowing users to search for similar clothing items via photo recognition.* Engineered a robust segmentation model proficient in accurately identifying and isolating various components of clothing items.* Implemented an advanced generative model (GAN) to automatically extract clothing items from images of individuals, standardizing them into a white-background format.* Utilized classic ML and deep learning, like LSTM, to forecast logistics demand, reducing empty freight car mileage by 15%.

Novosibirsk Region, Russian Federation

* Studied Virtual Lab principles, a versatile geochemical simulator, and developed an enhanced regression testing platform while refining the associated database.

Novosibirsk, Russia

* Developed a numerical simulation method for complex flow over immersed bodies and validated its efficacy through testing on specific scenarios, including flow past a backstep and around a stationary circular cylinder.

Novosibirsk Region, Russian Federation

* Analyzed the use of file storage by web servers* Researched principles of modern web applications * Evaluated the impact of the server file system on performance of web applications

Novosibirsk Region, Russian Federation

* Participated in development of hybrid storage that combines the advantages of file servers and network access to the disks - Web Cluster File System (WCFS)* Researched principle of operation of loadable kernel module* Implemented functionality of storage connected with read/write operations

Novosibirsk Region, Russian Federation

* Participated in development of protected data warehouse* Designed and realized homomorphic encryption based on a special type of matrices

Postgraduate Additional Qualification, Computer Science

Advanced course of Machine Learning and Data Analysis

Master'S Degree, Mathematical Modeling

Bachelor'S Degree, Applied Mathematics