Data Science Services
Our full-stack data scientists help you address business challenges with data-driven approach

With digital transformations powering today’s hyper-connected world, a vast amount of data is being generated in four distinct dimensions: volume, variety, velocity, and veracity. Data Science helps enterprises to extract value from these massive amounts of data to drive business growth and efficiency.

Today, enterprises are applying data science to unlock the value of Big Data with actionable insights to put forward data-driven decisions for products and services that reduce customer churn, improve customer satisfaction, optimize operations, re-define business strategies and increase revenue.

VOLANSYS provide Data Science services and solutions which best suits the client’s ETL Process needs and Machine Learning Model requirements to get insights from continuously growing data across various industries.

Our certified Data Science experts have extensive hands-on experience of various Data Science tools and technologies such as Apache Spark, Apache Hadoop, Tableau, R studio, QlikView, Google TensorFlow™ and more to implement multi-step ETL processing, data visualization, and machine learning solutions.

Data Science Expertise
Data Engineering
  • Data Migration & Integration
  • ETL Processing
  • Data Pipeline
  • Continuous Integration & Deployment
  • Data Modeling & Consultation
  • Support and Maintenance
Machine Learning
  • Feature Selection
  • Feature Transformation
  • Feature Extraction
  • Model Building
  • Model Evaluation and Optimization
  • Multi-model Validation

Data Science

Data Engineering

  • Data Migration & Integration
  • ETL Processing
  • Data Pipeline
  • Continuous Integration & Deployment
  • Data Modeling and Consultation
  • Support and Maintenance

Analytical Modelling

  • Feature Selection
  • Feature Transformation
  • Feature Extraction
  • Model Building
  • Model Evaluation and Optimization
  • Multi-model Validation
Data Science Capabilities

Our Data Science offerings help the customer to meet the demands of today and plan for tomorrow and quickly realize tangible business benefits.

Data Collection
  • Structured and Unstructured
  • Semi-structured
  • RDBMS & Big Data
  • Distributed File System (HDFS)
  • Flat file (text, csv, json, logs)
  • Emails, Websites & 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 (LSH)
  • Principal Component Analysis (PCA)
  • Singular Value Decomposition (SVD)
  • Text Transformation (word2vect, TF-IDF)
  • Vectorization, Indexer
  • Feature Scaling
Optimization & Evaluation
  • Cross Validation
  • Hyper parameter Tuning
  • Gradient Descent, SGD
  • Ensemble & Boosting
  • RSS, RSME, MSE
  • Log-loss, F-measure, Precision-Recall
Machine Learning
  • Regression Algorithms
  • Classification Algorithms
  • Support Vector Machine (SVM)
  • KD-Tree, Decision tree, Random Forest
  • K Nearest Neighbors (KNN)
  • K-means, Latent Drichlet Allocation
Deployment
  • Model Deployment
  • Model Serving
  • Model Pipeline
  • Managed Deployment
  • Monitoring
  • Evaluation
Data Science Use Cases

Anomaly Detection

Apply predictive models to real-time transactional data that monitors supervised and unsupervised processes to identify fraudulent activities and take preventative actions.

Internet of Things Analytics

Stream data from connected devices and process them for value-added operational analytics: Optimizing supply chains and the management of assets.

Social Listening and Sentiment Analysis

Perform sentiment analysis of reviews and comments about products and services on various social media platforms.

360-degree Single View

Build single view of X (customer, employee, supplier, and partner) to understand, segment and manage information in a more effective way to improve engagement and satisfaction.

Predictive Analytics

Design custom recommendation engine that reduces dimensionality and applies collaborative filtering to recognize patterns from historical, past behaviors and third-party APIs to make predictions about future business opportunities.

Data Science Tools and Technologies
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Technology Capabilities

Platform
Tools
Framework
Language
Format
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Saas
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Success Stories
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