Our projects
Project:
Predictive analytics of production tasks.
Customer:
The largest manufacturer of trucks in the Russian Federation.
Project Description:
Development of the Digital Ecosystem Management System; integration of more than 10 data sources, Production Schedules, server license usage dynamics, server resource utilization dynamics; Building a data warehouse and integration pipelines building predictive models of production schedules, license usage, and server resources; visualization of forecasts.
Achievements:
More than 10 data sources integrated
Reliable Data Warehouse Developed
Real-Time Scheduled Data Download Pipelines Developed
Developed own prediction algorithms based on associative search methods
Highly accurate models have been developed to predict the progress of production schedules, used licenses and server resources
Dashboards with forecast visualizations developed
Project:
Outsiders and Outstaff IT professionals.
Customer:
A large IT company on the Russian market (TOP-7 on the capitalization of IT companies in the Russian Federation).
Project Description:
Connecting IT specialists to current projects of the company in the roles of business analyst, system analyst, data analyst, SQL developer PostgreSQL & Greenplum, DBA, Python Data Engineer, Architect, Information Security Engineer, Front End Developer (React), Data Science engineer to strengthen current project teams for a period of 1 month.
Achievements:
More than 10 projects completed in due time
Received an additional 5 projects due to the high quality of work
Project:
Video exposure of blast furnace tuyeres.
Customer:
Large manufacturing company.
Project Description:
Development of intelligent SPMS based on video recognition of blast furnace tuyeres. The archive of video recordings consisted of 25 TB of data from 21 video channels. The proposed solution to this problem is able to classify and predict processes in the video frame in real time. Cluster analysis in the space of wavelet images of video fragments was used as the main tool.
Achievements:
A variant of this approach tested on the standard MNIST dataset has an accuracy of 98.29%
Project:
Building a data warehouse from scratch for a travel company.
Customer:
The largest tourist organization in the Russian Federation.
Project Description:
As part of the project, a data warehouse for a travel organization was introduced. As part of the project, an architectural solution was chosen entirely on Open-Source technologies, storage, data orchestration, integration and visualization subsystems were deployed. This project is an ideal example of a complete cycle of data warehouse implementation and turnkey reporting.
Achievements:
Target Architecture Designed
Data storage and processing, integration, orchestration, and visualization subsystems deployed
Built your own framework for automating data source integration
More than 20 data sources integrated
More than 30 data marts made
More than 10 on-screen forms and reporting panels have been developed for the manager
Project:
Development of reporting subsystem for IE on accounting of construction waste disposal.
Customer:
Construction organization in Moscow.
Project Description:
Within the framework of the project, a reporting subsystem was introduced to take into account the removal of construction waste, a personal account was developed for various participants in the business process, as well as a subsystem for monitoring the passage of machines at landfills in real time based on Open-Source technologies.
Achievements:
More than 30 different management reports have been developed
Developed by LC for multiple roles
A subsystem for monitoring driveways has been developed, which records the driveways of machines at landfills in real time
A model has been developed that predicts the correctness of the completed flight to the landfill with an accuracy of 97%
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