Machine Learning Models for Nitrogen Footprint Reduction
ScienceSoft developed XGBoost, RNN, and LSTM machine learning models to help an energy solutions provider achieve the lowest possible nitrogen emissions values for its gas turbines.
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ScienceSoft developed XGBoost, RNN, and LSTM machine learning models to help an energy solutions provider achieve the lowest possible nitrogen emissions values for its gas turbines.
ScienceSoft implemented a server monitoring system for the cross-platform mobile app to help the Client detect arising application issues and timely resolve them before they reach app users.
ScienceSoft took up the outsource administration of the Salesforce-based B2B portal of the international consumer products company. We helped to ensure better usability of the portal, which allowed to streamline the company’s communication with their customers and increase the efficiency of promotional activities giving them better information support.
A multilingual online service to help hotel customers book and manage conference rooms easily. ScienceSoft went the extra mile to ensure the possibility of booking additional services like catering and equipment.
ScienceSoft helped the Client to improve their SharePoint-based quality management system by tuning document management features, enabling employee collaboration on quality management issues and facilitating the assessment of employees’ knowledge of the corporate code of practice.
A seamless website migration from .NET to PHP for a real estate leader with over 100 offices across the country.
The system collects, stores, and processes exam records with medical images, compiling image quality rating reports to detect troublesome areas: inadequate technologist’s actions, patient-related difficulties, equipment malfunctions, and process deficiencies. The solution is used for health systems’ internal purposes, such as cost reports, statistics, and more.
ScienceSoft helped Garan, a 4,000-employee US retailer, optimize its reporting solution that was processing over 300GB of ORC files daily. In 6 weeks, Garan made critical improvements to its HDFS, Spark, and Hive configurations and received a cloud migration roadmap.
ScienceSoft delivered a business case and technical design for an NFT marketplace and built an interactive prototype to test the platform’s usability. With our assistance, the Client quickly proved the feasibility of its idea and confidently moved to development.
Custom CRM and sales automation for an EU government agency in public transportation. Based on MS Dynamics CRM, the solution helps to manage their nation-wide portfolio of passenger land transport vendors.
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