Development of the service allows increasing hotel revenue by understanding event-hotel connections using AI and geospatial analysis.

System design and implementing from scratch. Frontend, backend, machine learning pipelines, deploying.

Contract job. Research in the development of programming training programs for Java backend and Machine Learning applications.

Working in HQ Revenue product team. Developed models for anomaly detection in hotels provided data. Statistical and ML approaches. Created models for detecting hotels-competitors using their price strategy.

Researched on ML models for hotel occupancy prediction.

Volunteering, part-time. Developed and tested the backend of hackathon platform: user registration / authorization, solution uploading, ML model evaluation, generating a dynamic leaderboard.

Planned, organized, negotiated KPIs and monitored ML research projects.

Initiated new research projects and checked new hypotheses, developed approaches (whole ML pipeline) for ML application in future geology projects.

• Developed and maintained inpainting and extreme inpainting techniques for seismic data;
• Developed approach for interwell properties prediction based on seismic data;
• Supported a seismic fault detection project, focusing on performance optimization during training and evaluation phases, and prepared the final solution for implementation within the client’s ecosystem;
• Provided support to an outsourced team working on a super-resolution approach for seismic data.

Developed a desktop application for estimation of depth map uncertainties. Created mathematical and statistical models for building depth maps using classic ML algorithms.

Created different mathematical and statistical models for geology modeling, oil and gas projects and drilling.