Data Science Consulting Services
SoftTeco’s data science services are aimed at transforming your data into a valuable business asset. We help you identify inefficiencies, optimize inner processes, and devise long-term strategies to grow your business.
18
years on the IT market
500
employees
450
successful projects
75
client locations
SoftTeco’s data science services
Supplementary services SoftTeco offers
01
Machine learning development
SoftTeco’s engineers design, build, and optimize machine learning solutions across the full lifecycle, from data preparation and model training to integration. Our ML services cover a range of use cases, including predictive analytics, computer vision solutions, and AI agents development.
02
Business intelligence implementation
To centralize your information and ensure it is available in suitable formats, we offer scalable BI system implementation. Our BI developers and data analysts configure and customize BI solutions to meet your needs and integrate with all needed data sources, enabling you to quickly extract insights from data.
03
Big data management
SoftTeco helps businesses manage diverse and massive data as effectively as possible, collecting it from different sources. As part of this service, our data engineers can recommend the most suitable storage solutions, big data processing and management tools according to your needs and requirements.
04
Data storage configuration
We develop various types of data storage for specific purposes, can optimize it or help you transfer data to an existing one. Based on your needs, our engineers build and set up data storage infrastructure, such as data warehouses, data lakes, lakehouses, operational data stores, and data marts.
05
Data analytics and reporting
SoftTeco helps you turn raw data into structured insights for measurable business operations tracking. To achieve this, our experts design analytics models, define KPIs, and set up automated reporting so you receive accurate, consistent information on a regular basis.
06
Data visualization
We create custom dashboards and reports as well as implement full-scale data visualization solutions. Our service helps companies make data easily accessible and understandable for all stakeholders and, as a result, facilitate the decision-making process.
Turn your data into powerful insights and predictions with SoftTeco
Data science applications across industries
Healthcare
Healthcare providers can improve patient outcomes, hospital workflows, and employees productivity through such data science solutions as:
- Patient monitoring
- Medical imaging
- Drug discovery
- Disease prediction and diagnostics
Banking & fintech
Banks and financial institutions can speed up and improve financial operations, decision-making, and customer experience through:
- Assessing financial risks
- Managing investment portfolios
- Fraud detection and prevention
- Calculating customer lifetime value
Manufacturing
Manufacturing organizations can move from reactive to predictive maintenance, improve inventory management, and increase overall efficiency through:
- Quality control
- Supply chain optimization
- Financial losses prediction
- Schedule preventative maintenance
Retail
Retail firms can optimize their processes, maximize sales, and customer satisfaction by leveraging such data science systems as:
- Demand forecasting
- Inventory optimization
- Customer segmentation
- Personalized product recommendations
Automotive
Automotive companies can improve their automobile production, improve vehicle performance, quality and driving experience through:
- Vehicle dynamics and safety
- Tire pressure monitoring
- Fuel consumption analysis
- Engine performance monitoring
Transportation & logistics
Logistics companies can optimize delivery routes, accurately forecast the supply and demand cycles, and reduce fuel and operational costs through:
- Route optimization
- Tracking shipments
- Gathering data about traffic trends
- Collecting data about previous journeys
Agriculture
Agriculture companies can optimize resource use, improve crop yields, and minimize weather-related risks through:
- Soil health assessment
- Pest and disease detection
- Yield prediction and optimization
- Weather prediction and management
Telecom
Telecom organizations can improve the quality of network, price strategies, effectively equipment failures, and deliver personalized offerings through:
- Price optimization
- Identifying usage patterns
- Network optimization
- Determining fraud and equipment failures
Oil & gas
Oil and gas companies leverage data science to improve the processes and decisions related to oil and natural gas exploration, production, and refinement through:
- Identifying ideal drilling sites
- Asset performance optimization
- Equipment maintenance prediction
- Prediction of ideal drilling pressures and angles
Hospitality & tourism
Data science solutions can help hotels optimize revenue, enhance guest experience, predict trends, and remain competitive through:
- Marketing efforts enhancement
- Occupancy optimization
- Customer churn analysis
- Personalized guest experiences
Media & entertainment
Media and entertainment companies can optimize content creation, enhance consumer engagement, and advance marketing activities through:
- Content personalization
- Customer insights analysis
- Predictive analytics for audience engagement
- Content distribution optimization on social media
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Our data science expertise
Our data science consulting firm uses a variety of methods and technologies to design and implement advanced data science solutions.
Agentic AI
SoftTeco leverages agentic AI to build systems that independently analyze data, make decisions, and take actions in real-time. By applying this expertise, we help companies across industries adopt it to operate more efficiently, reduce manual work, and improve decision accuracy.
Business impact:
- Reduced costs through automated processes and minimized manual intervention
- Accelerated business processes via reduced decision-making time
- Improved customer experience with fast and accurate responses
- Sales and marketing automation through optimized consumer touchpoints
Statistical programming
Our data science specialists leverage programming languages such as R, Python, SAS, and Julia, statistical methods, regression analysis, and predictive modeling. They use diverse statistical computing tools and methods to extract insights from data, design robust experiments, and build predictive models.
Business impact:
- Streamlined data analysis process without significant manual handling
- Better decision-making through rigorous statistical analysis
- Accurate results by using validated statistical methods
- Improved forecasting accuracy with predictive modeling
Predictive analytics
We use regression, ML-based predictive techniques, and predictive analytics tools to help businesses make accurate predictions based on current and historical data. Our data scientists can forecast upcoming events, market trends, and strengthen risk management capabilities.
Business impact:
- Better sales and marketing efforts through informed predictions
- Stronger business strategy by anticipating future trends
- Risk reduction due to its early identification and prevention
- Competitive advantage by addressing opportunities and challenges proactively
Machine Learning
Our development teams build and deploy ML models with supervised learning for customer segmentation, risk modeling, natural language processing (NLP), and computer vision. They apply unsupervised ML to adapt ML models to domain-specific tasks.
Business impact:
- Automated and optimized repetitive tasks and business workflows
- Improved operational efficiency through data-driven insights
- Future trends forecasting based on historical data and current variables
- Risk mitigation through data analysis and potential threats identification
Neural networks
We utilize modern neural architectures to solve complex problems in computer vision, natural language processing, and data modeling. With expertise in deep learning, SoftTeco develops scalable AI systems for real-world apps that go beyond the capabilities of traditional algorithms or human analysis.
Business impact:
- Improved cybersecurity through anomaly detection and attack pattern prediction
- High accuracy by detecting complex patterns beyond human analysts
- Early diagnosis and outcome prediction with superior accuracy
- Enhanced fraud detection through deep pattern recognition
Why choose SoftTeco as your data engineering company?
Our data science projects
ML-powered recommendation engine
SoftTeco created a subscription-based platform that offers royalty-free music, sound effects, and stock footage. We incorporated an ML-powered recommendation system that analyzes user profiles, detects behavioral patterns, and predicts content relevance. Our ML engineers implemented a semi-automated marketing mix modeling solution. It enables companies to make data-driven decisions on content suggestions and allocate marketing budgets more effectively.
Real-time heart monitoring with ultrasound analysis
SoftTeco built a mobile application for real-time heart monitoring. A key part of the solution was the machine learning model and algorithm that our engineers created to process ultrasound images. The app uses TensorFlow for deep learning-based image analysis, including image segmentation and feature extraction. ML models detect heart structures and calculate critical parameters to enable faster, more accurate heart decisions.
ML-powered hive monitoring
SoftTeco developed an ML-powered application to track and monitor bees. Our team was responsible for defining the product’s architecture, performing data mining, data processing, and training neural networks. We integrated computer vision to accurately count the number of bees in the hive. Our BI developers designed clear charts and graphs to help users track the dynamics of the hive’s growth and make informed decisions to maintain healthy bees.
Business benefits of data science implementation
Improved operational efficiency
Data science enables businesses to gather and analyse large volumes of data. By doing so, companies can identify inefficiencies, optimize operations, and improve overall productivity.
Better decision-making
By using data science, organizations can identify trends, detect patterns, and predict future outcomes. Companies that use analytics are 5 times more likely to make faster decisions with quantifiable evidence.
Improved user experience
Data science enables a much deeper analysis of customer data and helps businesses reshape their marketing strategy. 36% of businesses use real-time analytics to improve customer engagement and reduce churn.
New revenue streams
Data can provide valuable insights into customer behavior, quality of goods and services, and employee efficiency. By analysing this data and acting on insights, companies can identify new revenue streams and growth opportunities.
Calculate the cost of your team
The calculator will help you estimate the total cost of the team needed to build your data science solution based on the number of specialists, their rates, and timeline.
FAQ
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Who is included on a data science team at your company?
– Data scientists find and interpret rich data sources, combine them, and use ML to build models that help extract insights from complex data.
– Data analysts collect, clean, analyze, and prepare data to present insights in a сlear and understandable format.
– Data architects design, create, manage, and optimize an organization’s data architecture, set policies for data storage, accuracy, and accessibility, and integrate new data technologies into existing IT infrastructures.
– Machine learning engineers design, build, and deploy ML models into production systems, maintain and improve existing systems.
– Data engineers develop, test, and maintain data pipelines and solution architectures.
– Data science architects design and maintain the architecture of data science applications.
– Data annotators train ML models to generate accurate results automatically.
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