Data Engineering & Science
With Data Science Engineering's help, you can be more proactive in your business decisions, deliver relevant products and services as well as personalized offers to your target audience, optimize efficiency of your processes, and mitigate risks and fraud
We can help you:
- Prepare your project for incoming data
- Setup data collection system for your business
- Analyze the incoming data for business intelligence insights
We offer industry solutions:
Data Infrastructure
Prepare the ground for the data analysis. We can integrate various data sources into your system, create real-time batch data storage infrastructure and processing systems, and develop API for serving the processed data.
Data Mining
Detect trends and anomalies in the incoming data to predict the future with the help of Data Mining. This service also can help with modeling target audience as well as gathering information about product or service use.
Data Analytics
Extract relevant and valuable business intelligence insights from available data to optimize business processes and raise their effectiveness. We can also create custom dashboards for the data to make the decision making process more simple.
Check our related case studies:
Real-time diagnostics
We have created with Google Cloud Platform developers and researchers
from the University of Queensland an end-to-end streaming pipeline for
pathogen detection on Google Cloud Platform
Learn more>>
Affiliate Marketing
Custom-designed performance marketing system for interaction and cooperation with affiliates specifically targeted at mobile conversions This project has custom analytics dashboard
Learn more>>
Ad Anti-Fraud System
We created a system that can analyze big amounts of data in real-time
and distinguish a bot from a real person and identify anomalies in
behavioral models.
Learn more>>
Data Engineering Team:
- Solutions Architect
- Developer
- Business Analytic
- Data Scientist
- Applied ML Engineer
- Data Engineer
Data Engineering Process:
- Technical Audit & Research
- Documentation
- Development
- Deployment
- Support
Technologies and Frameworks
SQL, Jupyter, Python, R, Pytorch, TensorFlow, Google Cloud, AWS, GitHub, Docker, NewRelic, REST API, Apache Beam, Cloud PubSub, Pandas, Kubernetes
Expertise:
Read more in our blog:
Data Mining Guide
What is Data Mining? What are the most effective data mining techniques? Read more about challenges and real-life applications
Read more>>
Data Analytics Guide
When your business gathers a lot of user data, it's important to understand what benefits you can get out of it. Big data analytics saves the day.
Read more>>
How Data Science Transforms Healthcare
Modern healthcare equipment generates a lot of health data, and this is where ML and Big Data applications can help. Learn more about predictive analytics and ML in healthcare.
Read more>>