Our core technology is the Python programming language which offers powerful functionality behind the simple syntax that guarantees top performance. Thanks to the handy libraries that cover areas ranging from analysis to machine learning, Python is the best technology for such projects.
We apply proven software craftsmanship practices in our work. That means we implement clean code, static code analysis and automated tests, code reviews, and more.
We start with improving input quality and then move on to algorithm optimization. We dedicate time to experiment with alternative methods before delivering your solution.
From building the infrastructure, through ETL processes and task scheduling, to API design and integration of predictive models with end-user systems - we’ve got you covered.
These two principles help us deliver top value to our clients in various industries:
You can count on our expertise at every stage of the process: data collection, processing and the Extract, Transform and Load (ETL) process, cleaning and structuring, analysis (including visualization), and building predictive models.
Companies are investing in tools that improve their decision-making processes, automate tasks, and boost their operational efficiency. Here are a few disciplines that we believe have the greatest potential in business applications. After all, we’ve seen the benefits they bring in our consulting projects.
Let your organization benefit from quality visualization and analytics.
Unlock the potential of vast repositories.
Equip your solution with powerful and functional search engines.
Take advantage of a cutting-edge technology everyone’s talking about.
Analyze massive amounts of textual content with a few clicks.
Benefit from computer vision solutions.
Help your customers find what they need with automatically generated recommendations.
Make your development team more productive with our tools.
Data-driven projects require the use of analytics tools, technologies, and languages that help teams extract insights to deliver tangible business value. Python is one of the most popular technologies used for this purpose. We happen to have outstanding expertise in Python and its many tools that stand to help every company out there achieve its business goals.
Here are the technologies we swear by when developing data science projects for our partners. Our team members are constantly learning new things so expect this list to grow quickly.
technology
If you’ve been watching the data science scene, you probably spotted this term mentioned quite a lot: the Extract, Transform, and Load (ETL) process. ETL is […]
technology
It’s safe to say that recommendation systems (also called recommendation engines) have become one of the most essential elements guiding users throughout the web […]
technology
During the last few years, machine learning became a key industry buzzword and practically the Holy Grail people believe would solve every kind of business problem. Let’s […]
Check out our work
Letme is a web-based platform that helps users find games, electronics, and travel opportunities thanks to a sophisticated recommendation engine that builds on artificial intelligence (AI).
How can enterprises benefit from data science software?
Data science solutions help enterprises to identify key market and consumer trends to stay competitive, equips management with solid data for data-driven decision making, and increases the efficiency of employees in handing core tasks. Data science tools allow businesses to identify and act upon new opportunities and promote low-risk action plans relying on real-time data and predictive analytics.
Why hire a data engineer?
The work of data engineers makes it possible to build solutions that bring organizations real-time, responsive data to help them make the smartest decisions. A data engineer builds the foundation, and provides solid reporting and standard models. Hiring a talented data engineer is important and should be done before bringing a data scientist on board.
How will you inform me about the progress?
We keep our clients updated using a project management tool like Jira (we update all of the project's progress in real time, the code repository (real-time access), and the staging environment where the latest build will be accessible through a browser for testing.
How soon can you deliver my solution?
Answering this question is next to impossible. We can start working on your project within up to 4 weeks, but its delivery will depend on its size, how many people are to be involved, and what the forecasted budget is.
What technologies do you use in data science projects?
Our main technology is Python and its collection of data science tools such as Pandas, TensorFlow, scikit learn, NumPy, Apache Spark, and many more. Our team members are constantly learning new approaches and tools, so this list is constantly growing.
Ready to kick off your data science project?
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