Data Analytics

Analyze all the information and data you may need, while simultaneously optimizing and improving your relationships within the organization

Expertise

DATA ANALYSIS

  • Scalable technical architecture
  • Data exploration
  • Sophisticated techniques to make predictions
  • Custom machine learning algorithms
  • Neural networks
  • AI automation of tasks that require human cognitive effort

DATA ENGINEERING

  • Data capture and cleaning
  • Data modeling to meet analytical requirements
  • Development and administration of ETL
  • Maintain of large-scale data processing systems
  • Custom machine learning algorithms
  • Unstructured data processing

DATA VISUALIZATION

  • Specific methods and techniques
  • Data monitoring
  • Creation of presentations to stakeholders
  • Reports and dashboards building
  • IdentiIdentifying the areas that require attention or improvementfy areas that need attention or improvement

DATA INTEGRATION

  • Consolidation (ETL technology)
  • Propagation
  • Virtualization
  • Federation
  • Warehousing

Use Cases

  • Orthomosaic map

  • Image preprocessing

  • Orchards decomposition

  • Multispectral data

  • Growth analysis

  • Proprietary models for decision-making support

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  • Machine learning documents analysis

  • Creating synonym tables and available values

  • Elasticsearch custom aggregation and search filter scripts

  • Creating and configuring the ElasticSearch index

  • Creating a handler for converting client application search requests

  • Creating a REST API handler for search using the Django REST framework

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  • Used the CRISP-DM methodology

  • Completed the investigation phase, where the R&D team defined the data sources that are potentially valuable for model building

  • Defining the best price based on end-user information and a history of dealing with Google

  • Developed an ML model that simulates Google’s algorithm with high accuracy

  • Researched results with information about the factors influencing the price

  • Visualization via MatPlotLib and Seaborn

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  • Processed large amounts of data from the sensors

  • Processing of new data every 10 seconds

  • Development of big data storage that collects all data from road sensors

  • The SLA terms were interpreted with numbers

  • Implementation of hierarchical data representation

  • Representation of details about selected week or day

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EXPERIENCED IN

DATA
SCIENCE

Increases the efficiency of business campaigns and business decisions

ARTIFICIAL
INTELLIGENCE

Automates of tasks that require human cognitive effort and provides clear business predictions

MACHINE
LEARNING

Helps to find insights in your data, is useful for customers segmentation and targeting

SCALABLE
ARCHITECTURE

Secures increasing data workloads, while optimizing processing costs

Technologies

We apply the latest tools and technologies for data analytics development

Azure ML
Azure ML
Python
Python

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