Turabek – Python, React, AWS

Contributed to an ML-powered revenue optimization system for a Japanese airline that dynamically adjusts fares across thousands of daily flights, improving pricing efficiency and revenue performance.

• Designed and implemented a fare pre-calculation service processing flight inventory across the airline's full daily schedule;
• Built XGBoost prediction models for demand forecasting — total bookings, segment-wise reservations, and average daily rate (ADR);
• Developed a pricing recommendation engine incorporating competitor analysis, local event impact factors, and booking pace analysis;
• Created automated data pipelines integrating hotel pricing, competitor fares, and event attendance data;
• Implemented Kubernetes-based scheduling for daily model training and prediction workflows.

Developed a full-stack geospatial platform supporting watershed analysis across more than 90,000 road segments for a government client.

• Developed the complete platform using Next.js on the frontend and FastAPI on the backend;
• Integrated MapLibre GL JS and Mapbox GL Draw for interactive mapping and real-time watershed analysis;
• Implemented an advanced caching system using LocalForage and Web Workers, achieving a 60% reduction in data loading times;
• Built a hierarchical weighting system using PROMETHEE analysis methodology for geographic prioritization;
• Created multi-format data export pipelines (CSV, GeoJSON, Shapefile, PDF).

A housing analytics platform providing residential property valuation and forecasting for major U.S. housing markets.

• Created a Django backend API processing nationwide US housing data;
• Implemented Elasticsearch integration for property validation and search across metro areas and zip codes;
• Developed embeddable React widgets for customer platform integration;
• Built a scalable image processing system handling large volumes of housing imagery;
• Integrated third-party AI services for automated property image scoring and analysis;
• Generated comprehensive reports in PDF, Excel, and CSV formats.

An internal data visualization platform for optimizing marketing campaign performance across a Fortune 500 food manufacturer's brand portfolio.

• Built a scalable backend with Django REST Framework and an interactive frontend with Vue.js;
• Implemented Azure DevOps CI/CD pipelines and Docker containerization;
• Integrated single sign-on with Microsoft Azure Active Directory;
• Collaborated with the data science team on data pipeline integrations;
• Added Shopify integration for real-time e-commerce data synchronization.

Contributed to the implementation, modernization, and ongoing maintenance of internal applications supporting multiple bureaus within a state transportation department.

• Contributed to a medical case management system supporting driver licensing operations.
• Developed features for a public records request portal used by a government agency.
• Supported development of an incident management platform for transportation operations.
• Enhanced an eProcurement system for electronic procurement and quote management.
• Re-platformed legacy ASP.NET Web Forms applications to React and .NET Core.
• Developed SSIS packages for data synchronization across multiple departments and mentored junior developers through onboarding and code reviews.