Data Science
AVS Solutions has profound knowledge and experience in designing, implementing, and integrating Data Science solutions within the customer’s business environment. We are part of the Data Science community of Serbia and contribute through conferences, meetups, panels…
AVS Solutions are especially proud of being the first official partner of the Data Science Conference in Belgrade.
We’ve been paying special attention to Data Science projects by using Python, SQL, modeling, data analysis, advanced analytics, Power BI, machine learning, neural networks… We are also familiar with TensorFlow, PyTourch, Pandas as well as quite experienced in the implementation of Data Mart and Data Warehouse solutions. In working with the most sensitive data we can provide predictions, optimizations, risk assessments…
Machines talk
We listen
GENERATE TRANSFORMATION VALUE FROM YOUR DATA
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Neural networks
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Deep Learning
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Complex mathematics and algorithms
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Predictive models and Machine Learning
Techniques, Technologies & Tools
used in Data Science
- Python
- SQL
- R
- VBA
- AI
- Machine Learning
- Neural Networks
- PyTourch
- Tabelau
- Pandas
- NumPy
- TensorFlow
- PyCharm
- Anaconda
- Python shapely
- Advanced Excel
Our success stories
Network Optimum is made in cooperation with one of the leaders in logistics solutions in Belgium, CWLogistic. We have provided for Mazda a solution of finding the optimal position of the warehouse as well as an answer to question of where and when to perform relocation of the warehouse as a part of strategic decisions. Further, we upgraded the previous version and provided, for Biedronka Poland, optimization of logistics routes with time windows, numerous custom reports as well as control and cost forecasting. On this project we used:
- .NET
- C#
- ASP.Net
- SQL
- SQL Reporting services
- Matlab
- R
- Machine Learning
Make smart
Data-driven decisions
Project X is extremely complex project that is made for the Belgian real-estate market leader that includes Machine learning, Big Data, prediction, modeling, Deep learning, Neural networks… This predictive solution should be used by the largest banks and insurance companies in Belgium. On this project we used:
- Python
- Machine Learning
- Neural networks
- GIS tools
- Shapely
- Pandas
- SQL
ProReco is a machine learning-based product recommender. Using a variety of data sources, we provide complete personalized recommendations, in addition to integration with the Mailchimp service we approach each subscriber personally and individually. Read more about it here… For this project we used:
- SQL
- Machine Learning
- SQL Server SSIS