Data Science

Through Ertino's eData platform, we provide algorithmic approaches to extract patterns, insights, and value from data, in a business decision-making context.

Development Methodology

  • Buisness Understanding
  • Iterative
  • Collaboration
  • Actionable Insights

Challenges in Data science Projects

  • Data strategy & Data Quality
  • Domain Knowledge
  • Right Platform
  • Right Algorithms
  • Good Data scientist

Machine Learning Development Process

  • Data Preparation & Preprocessing
  • Knowledge Discovery
  • Model Identification
  • Train & Test
  • Model Implementation
  • Model Interpretability

Machine Learning Platform

  • Velocity, Volume, Variety
  • Data Science Capability
  • Governance
  • Scalability
  • Visualization


Customer Propensity Model

In the modern digital era, there is a vast amount of data captured digitally and explains the customer purchasing behavior. Understanding the significance of each of the attributes about the customer would help businesses to make themselves relevant to the customers in terms of the products and services offered to the customers. Many statistical techniques are applied like customer segmentation are used to understand the target segment for the products

Financial Forecasting

Most of the financial data is time series and the need for optimization of financial resources are becoming critical to efficiently use the resources. Time Series modelling understands the nature of the series in terms of trend & seasonality and helps business to estimate demand accurately. Statistical techniques in terms of time series modelling helps to decompose the dataset and builds are model to quickly react to the various situations.

Risk Modelling

During recent times there is a larger evolution of digital identity being shared online, So it becomes critical for the business to protect customer identity. Business incur losses due to identity theft and it’s becoming important to create a digital signature for the customers. Now that the data about the customer is available through several data sources, it’s becoming important to business to understand the behavioral attributes and build a digital signature. Machine learning is extensively used to build these behavioral models.

Data Science & AI

Data science and artificial intelligence (AI) are reshaping businesses, enabling the emergence of new business innovations and new forms of competition. Technological advancements in robotics, data science, and AI are driving major advancements in technical capabilities that will have profound implications for the global economy, businesses, and society as a whole. The challenge exists in intelligently leveraging data science and AI technologies – all in the right direction.

Our objective is to help you effectively apply data science and infuse AI into your business to drive innovation. Our services, solutions, and platforms are designed to make data science collaborative, scalable, and deliver maximum impact.

Experience Data Science Today