Data mining / Machine learning developer

A Data Mining/Machine Learning developer designs, develops, and implements machine learning models to analyze large amounts of data. They extract valuable insights by identifying patterns and trends. Their responsibilities include data cleaning, data exploration, choosing suitable models, and training these models with data. They also test and optimize these models, interpret results, and present findings in a comprehensible manner. They work closely with data scientists and engineers to integrate machine learning capabilities into applications and systems. Their aim is to improve automation and decision-making, contributing to the achievement of business goals.

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Data mining / Machine learning developer

Hiring a Data Mining/Machine Learning developer is crucial for leveraging vast amounts of data to make informed decisions. They can design predictive models and algorithms to extract valuable insights, predict trends, and optimize business strategies. Their skills can enhance personalization, automate processes, improve customer experience, and drive innovation. By identifying patterns and correlations within data, they can help your business gain a competitive edge, reduce costs, and increase profitability. Their expertise plays a pivotal role in transforming raw data into strategic assets.

Anton Zelenskii

IT/Programming

Data mining / Machine learning,

SQL,

Visual Studio,

T-SQL

Maria Sokolova

IT/Programming

Data mining / Machine learning,

Apache,

AWS,

Bash,

Docker,

ERP,

Git,

Jenkins,

Linux,

Machine Learning,

Oracle,

Python,

Software Development,

SQL,

unix,

Ansible,

AWS Lambda,

Business Intelligence,

Data Warehousing,

ETL,

GitLab,

LDAP,

MapReduce,

Vertica,

CI/CD methodologies,

Enterprise architecture,

Business Analysis,

Business Process Management

Philip Petrochenkov

IT/Programming

Data mining / Machine learning,

API,

Java,

JavaScript,

Oracle,

QA,

Selenium WebDriver,

Testing Framework,

TestNG,

Selenium IDE,

AQA

Anna Malikova

IT/Programming

Data mining / Machine learning,

Bootstrap,

JavaScript,

Pixel Perfect,

React,

Redux,

rest api,

TypeScript,

webpack,

Jest,

Ant

Sergejs Vipolzovs

IT/Programming

Data mining / Machine learning,

CSS,

HTML,

HTML5,

JavaScript,

MySQL,

PHP,

Sass,

SQL,

Wordpress,

XML,

Laravel

Mike Sadofyev

IT/Programming

Data mining / Machine learning,

Project Management,

Business Intelligence,

Business Analysis,

Product Management

Anton Zelenskii

IT/Programming

Data mining / Machine learning,

SQL,

Visual Studio,

T-SQL

Maria Sokolova

IT/Programming

Data mining / Machine learning,

Apache,

AWS,

Bash,

Docker,

ERP,

Git,

Jenkins,

Linux,

Machine Learning,

Oracle,

Python,

Software Development,

SQL,

unix,

Ansible,

AWS Lambda,

Business Intelligence,

Data Warehousing,

ETL,

GitLab,

LDAP,

MapReduce,

Vertica,

CI/CD methodologies,

Enterprise architecture,

Business Analysis,

Business Process Management

Philip Petrochenkov

IT/Programming

Data mining / Machine learning,

API,

Java,

JavaScript,

Oracle,

QA,

Selenium WebDriver,

Testing Framework,

TestNG,

Selenium IDE,

AQA

Anna Malikova

IT/Programming

Data mining / Machine learning,

Bootstrap,

JavaScript,

Pixel Perfect,

React,

Redux,

rest api,

TypeScript,

webpack,

Jest,

Ant

Sergejs Vipolzovs

IT/Programming

Data mining / Machine learning,

CSS,

HTML,

HTML5,

JavaScript,

MySQL,

PHP,

Sass,

SQL,

Wordpress,

XML,

Laravel

Mike Sadofyev

IT/Programming

Data mining / Machine learning,

Project Management,

Business Intelligence,

Business Analysis,

Product Management

Anton Zelenskii

IT/Programming

Data mining / Machine learning,

SQL,

Visual Studio,

T-SQL

Maria Sokolova

IT/Programming

Data mining / Machine learning,

Apache,

AWS,

Bash,

Docker,

ERP,

Git,

Jenkins,

Linux,

Machine Learning,

Oracle,

Python,

Software Development,

SQL,

unix,

Ansible,

AWS Lambda,

Business Intelligence,

Data Warehousing,

ETL,

GitLab,

LDAP,

MapReduce,

Vertica,

CI/CD methodologies,

Enterprise architecture,

Business Analysis,

Business Process Management

Philip Petrochenkov

IT/Programming

Data mining / Machine learning,

API,

Java,

JavaScript,

Oracle,

QA,

Selenium WebDriver,

Testing Framework,

TestNG,

Selenium IDE,

AQA

Anna Malikova

IT/Programming

Data mining / Machine learning,

Bootstrap,

JavaScript,

Pixel Perfect,

React,

Redux,

rest api,

TypeScript,

webpack,

Jest,

Ant

Sergejs Vipolzovs

IT/Programming

Data mining / Machine learning,

CSS,

HTML,

HTML5,

JavaScript,

MySQL,

PHP,

Sass,

SQL,

Wordpress,

XML,

Laravel

Hiring a Data Mining/Machine Learning (ML) developer offers several advantages. These professionals are equipped with the skills to analyze and interpret complex digital data, which can help businesses make informed decisions. They can identify trends, patterns, and correlations in large data sets that may otherwise be overlooked. This can lead to cost reductions, effective marketing strategies, and improved customer service.

Machine learning developers can build predictive models and algorithms, enabling businesses to forecast future trends, behaviors, and events. This ability to predict outcomes can provide a competitive edge in the market. They can also automate the process of decision-making, thereby saving time and reducing errors.

Data Mining/ML developers can also help in improving product quality by analyzing customer feedback and reviews. They can identify the areas where improvements are needed, leading to customer satisfaction and loyalty.

Furthermore, they can help in mitigating risks and frauds by building models that can detect unusual patterns or activities. This is particularly beneficial for the finance and banking sector.

Lastly, these developers can contribute to personalizing customer experiences. By analyzing user behavior, preferences, and needs, businesses can provide personalized recommendations and offers, enhancing customer engagement and retention.

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Professional's specific field of expertise