Perspective

Software Outsourcing Codea operates at the intersection of energy, excellence, and invention.

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CSR Initiatives

We set ambitious goals and make strategic investments to drive improvements...

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Diversity

Codea is committed to creating a diverse and inclusive workforce. There´s growing...

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Innovation

The Spark Innovation Ecosystem ‘Applies Next´ beyond what is developed in house...

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Cloud Consulting

We impeccably manage your cloud enablement from choosing relevant cloud services to the successful execution of cloud transformation.

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DevOps

DevOps

Artificial Intelligence

Our AI services & solutions help gain high-quality and high-accuracy AI capabilities.

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Data Science Consulting Service

Data Science Consulting

Robotic Process Automation

Robotic Process Automation

Staff Augmentation

Codea has already helped 200+ clients augment their teams via hiring dedicated developers. Keep reading to find out what staff augmentation means, what are its benefits, and how to get the most out of augmenting your team with software developers.

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Our Industries

Discover how Codea´s breakthrough technologies are transforming industries with smarter ways to do business, new growth opportunities and strategies to compete and win.

Freight & Logistics

Codea FR8 offers an accurate freight and warehouse management system with built-in redundancies.

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Retail Solutions

ERP for retail helps retailers manage their businesses.

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Hospitality Solutions

Hospitality Solutions comes with integrated reservations systems.

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Fleet Management

Our Software helps companies to overcome the industrial challenge.

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A FEW CLIENTS WE HAVE HAD THE PRIVILEGE OF WORKING WITH

We offer Data Science services and solutions

Data Science Consulting Service

Our Understanding of Big Data positions us one of the top-rated Data Science Consulting Company.

Codea offers Data Science services and solutions which best suites clients process needs and machine learning model requirement to gain insights from Data that accrues exponentially.

We implement a full spectrum of Big Data solutions with Data Science technologies like Artificial Intelligence, Machine Learning and Deep Learning seamlessly integrated to it.

The Data Science experts at Codea has extensive hands-on experience with various Data Science tools and technologies such as Apache Spark, QlikView, Apache Hadoop, R studio, Tableau, Google TensorFlow and many more to implement multi-step ETL processing, data visualization, and machine learning solutions.

Transport Data Analysis

Data Science Expertise

Data Engineering

Data Migration & Integration

Continuous Integration & Deployment

Data Modeling & Consultation

ETL Processing

Data Pipeline

Support and Maintenance

Machine Learning

Feature Selection

Feature Transformation

Feature Extraction

Model Building

Model Evaluation and Optimization

Multi-model Validation

Successful engagement model with different teams within your company:

Data Engineering teams

Your company’s core expertise may not be machine learning. In such cases, we work with an existing engineering team providing the API of a machine learning system that fully corresponds to your needs and requirements. We allow your team in this way to focus on their primary tasks rather than try to learn an entirely new discipline.

Data Science teams

For companies with a data science team already in place, we become a valuable asset bringing deep expertise in certain areas of artificial intelligence, such as computer vision, predictive analytics and natural language processing.

Business units

Engagement of this nature often starts with developing a proof of concept for the business unit. Usually, the stakeholders are non-technical people who have very high-level goals and vision. We work closely with them breaking down these goals into logical steps, defining and prioritizing use cases, and providing the best solution for each use case to achieve composite results.

Data Science Capabilities

Our data scientists will examine and explore the organization’s data, and come up with recommendations and prescribe certain actions that will help improve the organization’s performance, better engage customers, and ultimately increase profitability.

Data Collection

  • Structured and Unstructured
  • Semi-structured
  • RDBMS & Big Data
  • Distributed File System
  • Flat file (text, JSON CSV, logs)
  • Emails, Websites and Web APIs

Data Processing

  • Data Cleansing
  • Data Profiling
  • Normalization, Text Mining
  • Data Extractor
  • Data Transformation
  • Load Data to Data Warehouse

Feature Engineering

  • Locality Sensitive Hashing
  • Principal Component Analysis
  • Text Transformation (word2vect, TF-IDF)
  • Singular Value Decomposition
  • Feature Scaling
  • Vectorization, Indexer

Optimization & Evaluation

  • Cross-Validation
  • Hyperparameter
  • Ensemble & Boosting
  • Gradient Descent, SGD
  • RSS, MSE, RSME
  • Log-loss, Precision-Recall, F-measure

Machine Learning

  • Regression Algorithms
  • Classification Algorithms
  • Support Vector Machine
  • K Nearest Neighbors (KNN)
  • K-means, Latent Dirichlet Allocation

Deployment

  • Model Deployment
  • Model Serving
  • Model Pipeline
  • Managed Deployment
  • Monitoring
  • Evaluation

Why Data Science?
8 Ways a Data Scientist Can Add Value to Business

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