Focused on Actionable Insights
My work is based on analysis data for actionable insights. Devising and applying models and algorithms to mine the stores of big data. Analyzing the data to identify patterns and trends.
Skills in Action
I am AWS Certified in Machine Learning Speciality and Architect.
Big Data Services70%
Data Science Consulting50%
Data Analytics Consulting80%
How Does Cloud Data Science Works
Data for all your people
We collect the data from the source and we send it to the datacenter.
A new breed of AI
The Data is managed in different platforms, such as AWS, Azure.
We perform business analytics
Explore Our Data Services
Big Data Service
Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many fields (columns) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate
Machine learning (ML) is the study of computer algorithms that improve automatically through experience. It is seen as a part of artificial intelligence. Machine learning algorithms build a model based on sample data, known as “training data”, in order to make predictions or decisions without being explicitly programmed to do so. Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or unfeasible to develop conventional algorithms to perform the needed tasks.
Artificial intelligence (AI) is intelligence demonstrated by machines, unlike the natural intelligence displayed by humans and animals, which involves consciousness and emotionality. The distinction between the former and the latter categories is often revealed by the acronym chosen. ‘Strong’ AI is usually labelled as AGI (Artificial General Intelligence) while attempts to emulate ‘natural’ intelligence have been called ABI (Artificial Biological Intelligence).
Computer vision tasks include methods for acquiring, processing, analyzing and understanding digital images, and extraction of high-dimensional data from the real world in order to produce numerical or symbolic information, e.g. in the forms of decisions.
Understanding in this context means the transformation of visual images (the input of the retina) into descriptions of the world that make sense to thought processes and can elicit appropriate action. This image understanding can be seen as the disentangling of symbolic information from image data using models constructed with the aid of geometry, physics, statistics, and learning theory.
These levels of industry accreditation are only awarded when we’ve proven that we consistently achieve the highest standards. This gives you the peace of mind that not only are your fire and security systems compliant with the relevant legislation, but they’re also in prime working order ensuring your business and employees are fully protected.