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Henry A., Software Engineer with Python and Data Analytical Skills

Nigeria
Last Updated: 23 Apr 2024
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- 8+ years experience working with Python; - 5 years of experience as a BI and 4 years of experience with Tableau; - 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); - Data Analytics/Engineering with Cloud Service Providers (AWS, GCP) - Experience working with MySQL, SQL, and PostgreSQL; - 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

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Data Mining

Data Mining

Python

Python   8.5 yr.

Data Analysis

Data Analysis   6 yr.

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)   4 yr.

Tableau

Tableau   4 yr.

Microsoft Power BI

Microsoft Power BI   4 yr.

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Anatolii K., Python Software Engineer

Kamianets-Podilskyi, Ukraine
Last Updated: 5 Apr 2024
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- 4 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

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Data Mining

Data Mining

Python

Python

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Vladyslav, Senior Data Scientist

Ternopil, Ukraine
Last Updated: 7 Mar 2024

- Senior 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.

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Data Mining

Data Mining

Data Analysis

Data Analysis   4 yr.

AWS Machine learning services (ML)

AWS Machine learning services (ML)   4 yr.

Neural Networks

Neural Networks

Business Analysis

Business Analysis

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Luis M., Talend ETL Engineer

Cartagena, Colombia
Last Updated: 4 Oct 2023

- 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

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Data Mining

Data Mining

HTML5

HTML5

CSS

CSS

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Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager

Only 3 Steps to Hire Data Mining Engineers

1
Talk to Our 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 Talents
Within 1-3 days, we’ll share profiles and connect you with the right talents for your project. Schedule a call to meet engineers in person.
3
Validate Your Choice
Bring new talent on board with a trial period to confirm you hire the right one. There are no termination fees or hidden costs.

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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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Henry Akwerigbe
Henry Akwerigbe
This is a super team to work with. Through Upstaff, I have had multiple projects to work on. Work culture has been awesome, teammates have been super nice and collaborative, with a very professional management. There's always a project for you if you're into tech such Front-end, Back-end, Mobile Development, Fullstack, Data Analytics, QA, Machine Learning / AI, Web3, Gaming and lots more. It gets even better because many projects even allow full remote from anywhere! Nice job to the Upstaff Team 🙌🏽.
Vitalii Stalynskyi
Vitalii Stalynskyi
I have been working with Upstaff for over a year on a project related to landscape design and management of contractors in land design projects. During the project, we have done a lot of work on migrating the project to a multitenant architecture and are currently working on new features from the backlog. When we started this project, the hiring processes were organized well. Everything went smoothly, and we were able to start working quickly. Payments always come on time, and there is always support from managers. All issues are resolved quickly. Overall, I am very happy with my experience working with Upstaff, and I recommend them to anyone looking for a new project. They are a reliable company that provides great projects and conditions. I highly recommend them to anyone looking for a partner for their next project.
Владислав «Sheepbar» Баранов
Владислав «Sheepbar» Баранов
We've been with Upstaff for over 2 years, finding great long-term PHP and Android projects for our available developers. The support is constant, and payments are always on time. Upstaff's efficient processes have made our experience satisfying and their reliable assistance has been invaluable.
Roman Masniuk
Roman Masniuk
I worked with Upstaff engineers for over 2 years, and my experience with them was great. We deployed several individual contributors to clients' implementations and put up two teams of upstaff engineers. Managers' understanding of tech and engineering is head and shoulders above other agencies. They have a solid selection of engineers, each time presented strong candidates. They were able to address our needs and resolve things very fast. Managers and devs were responsive and proactive. Great experience!
Yanina Antipova
Yanina Antipova
Хочу виразити велику подяку за таку швидку роботу по підбору двох розробників. Та ще й у такий короткий термін-2 дні. Це мене здивувало, адже ми шукали вже цілий місяць. І знайдені кандидати нам не підходили Це щось неймовірне. Доречі, ці кандидати працюють у нас і зараз. Та надать приклад іншим працівникам. Гарного дня!)
Наталья Кравцова
Наталья Кравцова
I discovered an exciting and well-paying project on Upstaff, and I couldn't be happier with my experience. Upstaff's platform is a gem for freelancers like me. It not only connects you with intriguing projects but also ensures fair compensation and a seamless work environment. If you're a programmer seeking quality opportunities, I highly recommend Upstaff.
Volodymyr
Volodymyr
Leaving a review to express how delighted I am to have found such a great side gig here. The project is intriguing, and I'm really enjoying the team dynamics. I'm also quite satisfied with the compensation aspect. It's crucial to feel valued for the work you put in. Overall, I'm grateful for the opportunity to contribute to this project and share my expertise. I'm thrilled to give a shoutout and recommendation to anyone seeking an engaging and rewarding work opportunity.

Hire Data Mining Developer as Effortless as Calling a Taxi

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FAQs about Data Mining Development

How do I hire a Data Mining developer? Arrow

Are you desperately looking for a Data Mining developer validated to your requirements and skills? Are you lacking in resources and tools to find the right developer? If yes, then you are at the right place! Because at Upstaff, the selection of the Data Mining Developer is done professionally as per your requirement, in a short time of just a few days, from calling to the instant task of your validated developer, with all your required skills.

Where is the best place to find Data Mining developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the Data Mining guy you need, but just Upstaff lets you sort out the best of the best real qualified developers practically in a couple of minutes, so that you will be able to select the one whose personality will be a perfect fit to your company. This is the case when you can create a genuinely “Pizza” type of service in the field of custom software development.

How are Upstaff Data Mining developers different? Arrow

Vetting by expert human reviewers is combined with historically curated feedback from clients and team-mates, which has enabled us to save, on average, more than 50 hours for each client team evaluating Data Mining candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire Data Mining developers through Upstaff? Arrow

Our process begins with a 30-minute discovery call: we’ll discuss your pain points, technical requirements, and team diversity. Meet Carefully Matched Data Mining Talents. Upon your meeting confirmation, we’ll send you profiles and arrange an introduction call with the right talents for your project, within 1-3 days. Schedule a call to meet Data Mining engineers in person. Make the right call. Bring a new Data Mining developer on board with a trial period: confirm that the person you hired does the job right, no termination fees and no hidden fees.

How does Upstaff vet remote Data Mining engineers? Arrow

After this introductory round, Upstaff Managers do an eval of the soft skills of the candidates before the hiring decision is approved or rejected. For the hard skills, the Upstaff Staffing Platform has a short testing session to check their Data Mining skills or engage a senior developer to do a technical interview for more senior developers. You can reuse some of the hard and soft skills of past candidates to connect them with other jobs in the future (see below). Upstaff managers also do an eval of the talent before approving them for further work, allowing us to accelerate the work and ability to scale, but also providing information to clients on the talent pipeline. Finally, we also have a matching engine within the work mining system that matches candidates and jobs in real time.

How to hire Data Mining developer? Arrow

If recruiting services and job boards are not your 1st option, you may want to consider a client-oriented service like Upstaff to find & hire Data Mining developers. Upstaff has a network of vetted and tested Data Mining developers. Here, you can hire web developers for a few simple coding tasks with Data Mining.

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Table of Contents

How and where is Data Mining used?

  • 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.

  • 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

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

What are top Data Mining 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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Talk to Our Talent Expert

Our journey starts with a 30-min discovery call to explore your project challenges, technical needs and team diversity.
Manager
Maria Lapko
Global Partnership Manager