Artem Valov Email & Phone Number

Lithuania

Emea

Emea

- Recommendation system for the chain of clinics.- Applying LLMs to optimize work of recruiting agencies.- Generating court reports using speech recognition approaches.- Application to extract data from ID card for taxi aggregator.- Drug sales forecasting for a pharmacy company.- Optimizing the distribution of visits to pharmacies to maximize sales and drug salesforecasting for a pharmacy company.- Analysis of technical documentation using NLP methods to identify key requirements to assist architects.- Evaluating warehouse inventory for a logistics company, leading to improved storage efficiency and resource management. Working with drones and Lidar data.- Detection of suspicious employee connections to improve company security.- Actively mentoring colleagues and participating in webinars. Assistance in establishing and organizing a Data Science Competence Center to ensure continuous learning and growth within the team.Set of projects in insurance (2 awards): - Forecasting agent loss and churn in the insurance industry, allowing for proactive measures to retain valuable employees. - High-risk customers detection in auto insurance using advanced graph methods, resulting in a more targeted risk management strategy. - Geo segmentation project that optimized augmentation and utilized map grid and geographic features to address business challenges with greater accuracy.- Implementing an unsupervised approach to control face generation for an advertising system.- Refining banner design logic to outperform competitors in terms of user engagement.

Moscow, Russia

Created password reset service for the internal customer. Developed and supported the internal corporate system website. Frontend: Gulp, Babel, Webpack, JS, TS, React, Redux-Saga, Jest Other: Express, MySQL, Git

Master Of Science - Ms, Mathematics-Physics Control Methods, 4.6

Diploma: Optimization of traversal of a set of points by the Dubins machine.

Bachelor Of Science - Bs, Physics

Diploma: Recognition of music genres using a neural network algorithm.