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Data Mining

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Data Mining
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Vladyslav, Data Mining Developer

- Data Scientist with 4+ years of experience specializing in delivering insights and solutions using analytics, machine learning, and data science across diverse industries. - Profound technical expertise with Python, utilizing libraries such as pandas, numpy, TensorFlow, and Keras, and deploying solutions with tools like Docker and FastAPI. - Successfully led data science projects focusing on market analytics, computer vision, and content moderation, demonstrating a strong background in ETL pipelines, predictive modeling, and deploying RESTful services. - Holds a Master's in Computer Science, augmented with certifications from Google Cloud and DataCamp, and is proficient in implementing ML methodologies, including NLP, CV, and time series analysis. - Experienced in RDBMS such as MySQL and PostgreSQL, cloud platforms like AWS and GCP, and has practical knowledge of software development life cycles and agile methodologies. - Fluent in English and Ukrainian, embodying strong multidisciplinary team leadership, evident in the management of complex projects and innovative solution development.

Data Mining

Data Mining

Data Analysis

Data Analysis   4 yr.

AWS ML (Amazon Machine learning services)

AWS ML (Amazon Machine learning services)   4 yr.

Neural Networks

Neural Networks

Business Analysis

Business Analysis

Henry A., Data Mining Developer

$30/hr
Identity Verified

- 9+ years experience working with Python; - 3+ years of experience with AI/ML projects; - 5 years of experience with PowerBI and 4 years of experience with Tableau and other visualization tools like Spotfire; - Good skills with Vaex, and Dask; - Was a part of a financial debt management project; - 6 years of experience working with MySQL, SQL, and PostgreSQL; - 8 years of experience with various data sets (ETL, Data Engineer, Data Quality Engineer); - 3 years of experience with Amazon Web Services (AWS), Google Cloud Platform (GCP); - Proven commercial experience in HR and related Talent projects; - Extensive experience with Spark and Hadoop; - Background with TensorFlow, Scikit-learn and PyTorch; - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP); - Deep abilities working with Kubernetes (K8s); - Hands-on scripting experience with Python; Microsoft Power BI, Tableau, Sisense, CI/CD principles, Data Validation, Data QA, SQL, Pipelines, ETL, and Automated web scraping; - Pet web3 projects (solidity, wallet integration); - Upper-intermediate English.

Data Mining

Data Mining

Python

Python   9 yr.

Data Analysis

Data Analysis   6 yr.

SQL

SQL   6 yr.

Microsoft Power BI

Microsoft Power BI   5 yr.

NoSQL

NoSQL   5 yr.

Anatolii K., Data Mining Developer

$30/hr
Identity Verified

- 5 years of experience in the IT industry as a Python Engineer - Proficient in using technologies such as Django DRF, Flask, Pandas, BeautifulSoup, SQLAlchemy, Asyncio, Flask + Marshmallow, Apscheduler, Jinja, Quip API, Docker, Nginx, Amazon MWS API, Amazon SP-API, Google API, and Telegram API; - Strong in refactoring, bug-fixing, and working with Python, JavaScript, Django, Django Rest Framework; - Skilled in developing faceted search and matching algorithms using ElasticSearch; - Experienced in PDF generation and importing from various formats; - Developed web applications, API interfaces, and automated scripts for data transformation; - Previous experience includes working as a Python developer focused on data scraping for Amazon, eBay, and Walmart products in dropshipping projects; - Also worked as a C# developer on various projects, specializing in web development, scraping, and parsing data; - Upper-Intermediate English; - Available ASAP

Data Mining

Data Mining

Python

Python

Django

Django

Flask

Flask

Luis M., Data Mining Developer

- ETL Engineer with 4+ years of experience, where 3+ years are dedicated to Talend as the main ETL tool - Competent in ETL tools: Talend, Talend Manage Console (TMC), Talend Big Data, Azure Data Factory, SSIS - Proficient in ETL (Extract, Transform, Load) processes, skilled in data integration and data transfer between systems - Experience with SQL and NoSQL database management (Snowflake, SQL Server, Azure SQL Server, Oracle DB) - Cloud platform utilization: AWS (EC2, S3, RDS), Azure - Familiarity with Amazon Redshift, Google BigQuery, Hadoop - Has the "Talend Data Integration v7 Certified Developer" certification

Data Mining

Data Mining

HTML5

HTML5

CSS

CSS

Andrii  Zelinskyi

Andrii Zelinskyi, Data Mining Developer

Certified Data Engineer and Scientist with a strong foundation in computer science, holding a Master's degree and an AWS certification. Possesses over 6 years of experience in creating sophisticated ETL pipelines, conducting data analysis, and deploying machine learning models. Proficient in Python, with additional expertise in Java, Kotlin, and C/C++. Demonstrates advanced knowledge of an array of technologies including AWS services, GCP, Docker, Kubernetes, and Apache Airflow, among others. Skilled in managing cloud solutions, automating data pipelines, and integrating with various APIs. Leveraged high-level programming and analysis skills in a variety of industry projects from steel defect detection to financial forecasting.

Data Mining

Data Mining

Python

Python   6 yr.

CD DevOps pipelines

CD DevOps pipelines

Data Analysis

Data Analysis

Business Analysis

Business Analysis

Alexsandr R.

Alexsandr R., Data Mining Developer

$35/hr, $5000/month

- 10+ years of experience in the IT industry Ruby, Python, PHP backed & JavaScript front-end skills. - 7+ years of experience with Ruby - Experienced with all stages of the frontend skills such as React, Vue, Angular, Javascript, HTML/CSS, JQuery and complex chart plugins including d3, amchart, dash, plotly, sigma.js and chart.js. - Intermediate English - Available ASAP

Data Mining

Data Mining

Ruby on Rails

Ruby on Rails   7 yr.

Only 3 Steps to Hire Data Mining Developer

1
Talk to Our Data Mining Talent Expert
Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
2
Meet Carefully Matched Data Mining Talents
Within 1-3 days, we’ll share profiles and connect you with the right Data Mining talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new Data Mining expert on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

Welcome on Upstaff: The best site to hire Data Mining Developer

Yaroslav Kuntsevych
Upstaff.com was launched in 2019, addressing software service companies, startups and ISVs, increasingly varying and evolving needs for qualified software engineers

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FAQs on Data Mining Development

What is a Data Mining Developer? Arrow

A Data Mining Developer is a specialist in the Data Mining framework/language, focusing on developing applications or systems that require expertise in this particular technology.

Why should I hire a Data Mining Developer through Upstaff.com? Arrow

Hiring through Upstaff.com gives you access to a curated pool of pre-screened Data Mining Developers, ensuring you find the right talent quickly and efficiently.

How do I know if a Data Mining Developer is right for my project? Arrow

If your project involves developing applications or systems that rely heavily on Data Mining, then hiring a Data Mining Developer would be essential.

How does the hiring process work on Upstaff.com? Arrow

Post Your Job: Provide details about your project.
Review Candidates: Access profiles of qualified Data Mining Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a Data Mining Developer? Arrow

The cost depends on factors like experience and project scope, but Upstaff.com offers competitive rates and flexible pricing options.

Can I hire Data Mining Developers on a part-time or project-based basis? Arrow

Yes, Upstaff.com allows you to hire Data Mining Developers on both a part-time and project-based basis, depending on your needs.

What are the qualifications of Data Mining Developers on Upstaff.com? Arrow

All developers undergo a strict vetting process to ensure they meet our high standards of expertise and professionalism.

How do I manage a Data Mining Developer once hired? Arrow

Upstaff.com offers tools and resources to help you manage your developer effectively, including communication platforms and project tracking tools.

What support does Upstaff.com offer during the hiring process? Arrow

Upstaff.com provides ongoing support, including help with onboarding, and expert advice to ensure you make the right hire.

Can I replace a Data Mining Developer if they are not meeting expectations? Arrow

Yes, Upstaff.com allows you to replace a developer if they are not meeting your expectations, ensuring you get the right fit for your project.

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Table of Contents

How and where is Data Mining used?

How and where
  • Customer Segmentation: Grouping customers based on purchasing behavior
  • Fraud Detection: Identifying fraudulent activities in financial transactions
  • Market Basket Analysis: Finding associations between products purchased together
  • Churn Prediction: Predicting customers likely to stop using a service
  • Sentiment Analysis: Analyzing opinions in social media comments
  • Recommendation Systems: Suggesting products based on user preferences
  • Healthcare Management: Predicting disease outbreaks and patient diagnosis
  • Anomaly Detection: Identifying unusual patterns in data for cybersecurity
  • Credit Scoring: Assessing the creditworthiness of individuals
  • Supply Chain Optimization: Streamlining logistics and inventory management

Compare Junior, Middle, Senior, and Expert/Team Lead Data Mining Developer roles

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Assist in data collection
  • Support data cleaning
  • Conduct basic data analysis
50,000
Middle3-5 years
  • Develop data models
  • Implement data mining algorithms
  • Participate in project planning
80,000
Senior6-8 years
  • Lead data mining projects
  • Optimize data extraction techniques
  • Provide technical guidance
110,000
Expert/Team Lead9+ years
  • Define data strategies
  • Mentor junior developers
  • Collaborate with stakeholders
150,000

Quick Facts about Data Mining.

Facts about
  • Data mining software was created in 1989 by Gregory Piatetsky-Shapiro.
  • Common project types using this technology include customer segmentation.
  • The entry threshold for data mining software is basic knowledge of statistics.
  • One of the most popular related technologies is machine learning algorithms.
  • Fun Fact: The largest data set ever used for data mining contained 2.2 petabytes!

TOP Data Mining Related Technologies

Related Technologies
  1. RapidMiner
  2. Weka
  3. KNIME
  4. Orange
  5. SAS

What are top Data Mining instruments and tools?

Instruments and tools
  • RapidMiner: An open-source data science platform released in 2006
  • Weka: A collection of machine learning algorithms released in 1993
  • KNIME: A platform for data analytics, reporting, and integration released in 2006
  • Orange: An open-source data visualization and analysis tool released in 1996
  • TensorFlow: An open-source machine learning framework released in 2015

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