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About Us
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About Our Company
Performing data analysis that influence meaningful decisions.
Analytic Scientist is a firm that specializes in the field of descriptive, predictive and prescriptive analytics.
We provide our clients with state-of-the-art machine learning solutions to improve their businesses and ROI through innovative approaches that aim at compiling their data and extracting trends and hidden characteristics that would be seamlessly exploited.
Our work consists of identifying exceptions, offering recommendations, simulating investment scenarios and their profitability to any business.
Analytic Scientist also uses adapted industry predictive practices, assisting clients in building business cases in the area of improvement. This could apply for instance to improving the lead time, reducing overheads, or preventing clients churn.
Our approach encompasses identifying the business target output and predictors that can be used in an efficient way in order to reach clear rules and explanations on any relationship, and be able to fine tune the inputs of activities for better operational efficiency.
Our History
History begins in 2010 with the foundation
Skills
From designing the data environment to performing advanced data analytics
Our skills rely on creativity and design, thinking and problem solving, and operational and management expertise.
Data Architecture
Data Management
Data Mining
Why Choose Us
Reason for people choose us
Global Experience
Nor again is there anyone who loves or pursues or desires to obtain pain of itself, because circumstances.
Value for Results
Except to obtain some advantage from it? But who has any right to find fault with a consequences.
High-Quality Results
This mistakens idea of denouncing pleasure and praising pain was born and will give you a complete system.
technical IT centric roles / analytical and business roles
Our Team Main Functions
Database Analysts
Access the databases directly usually by writing SQL queries, and perform some analysis on the data.
BI Developers
Manage some of the more technical aspects of a business intelligence tool set including maintenance. Also responsible for the technical implementation and distribution of standard reports.
ETL Developers
Responsible for populating databases and making sure the data is loaded correctly into the various database structures.
Database Administrators
Responsible for the database itself, including creation of the database and maintenance of the database to ensure stability, accessibility and efficient performance.
Data Architects
Responsible for the actual design of the data environment, and for structuring the data models used in enterprise databases for the data storage and access.
Application Developers & Administrators
Build and maintain systems that capture information for the business. They also provide ancillary functions like corporate IT that help to administer software and other tools.
As a growing company, we found in Naxly expertise in data science invaluble In almost two years of cooperation, they’ve helped us.
As a growing company, we found in Naxly expertise in data science invaluble In almost two years of cooperation, they’ve helped us.
As a growing company, we found in Naxly expertise in data science invaluble In almost two years of cooperation, they’ve helped us.
Team Members
