Data Science And ML

Data science induced with machine learning helps in the production and operation of data sets at a large scale and understand and simplify the complex real word analysis for businesses including demand analysis, asset analysis, finance analysis, sales analysis to identify hidden opportunities to enable better decision making.

Our services helps users extract critical information from the data warehouses, data lakes, databases to produce quantitative analysis which can steer strategi
c moves with confidence.

At Data Cult, we understand your business data, behavior of user’s information, transactional data insights and make them useful for your business. With our deep learning and ML algorithms we further open new world of possibilities that are backed by backed by data & AI

What We Do ?

What We Do ?

Predictive Analysis

Our data science as a service assists your business in predicting failures and data-related problems to prevent business downtime and lower maintenance costs. With integration of artificial intelligence systems we identify the risk points that require the greatest attention with help of pattern, trends and other means of derivatives..

Implementing ML and Data Science in Business

We are aware of the practical concerns with implementation of machine learning and data science frameworks in your business and hence we assist you in selecting the most appropriate algorithms and realistic models for your issues. Let our multidisciplinary team of machine learning and data science experts be the backbone of your business.

Natural Language Processing

We develop frameworks for incorporating natural language processing (NLP) , one of a sub field of machine learning in business intelligence and analytics, to improve natural language creation for data visualization and storytelling. This makes data visualizations more comprehensible and available to a wider range of stakeholders in an organization

Text Mining

We induce text mining along with AI, ML, and NLP to transform unstructured text from documents or databases into structured data that can be evaluated or used in machine learning algorithms. The formatted data can be added to databases, dashboards, or data warehouses, to perform variety of analytical investigations, including descriptive, predictive, and prescriptive ones.

Success Stories

2022
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2021
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2020
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2019
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