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Top Matplotlib Developers with UpStack

Al
Al M.

Al Mahdi is a versatile IT Expert with 12+ years of industry experience and know-how in data science using different tech stack for the provisioning of highly performant software solutions for clients. He has mastery in the development of different systems that use machine learning, neural networks and new technologies. He utilizes a client-centred approach and client feedback to fine-tune the quality of solutions delivered to clients.

Mariel
Mariel B.

Qualified Data Scientist specialized in Artificial Intelligence with 7+ years of experience in creative modeling of complex data for classification and prediction using Python and R. Mariel is proficient in Data Analysis and communicating results to audiences with diverse backgrounds. Contributed to multiple research projects, while being a Bioinformatics Ph.D. candidate in the School of Mathematics, Statistics and Applied Mathematics at the National University of Ireland - Galway with peer-reviewed publications in Artificial Intelligence and Bioinformatics.

Nelson
Nelson P.

Well-versed Data/Cloud Engineer, Business Intelligence & Data Scientist Consultant with 10+ years of experience building data-intensive applications, with extensive hands-on knowledge across multiple industries (real estate, oil, Insurance Brokers, etc). I strive to make an impact by creating scalable data platforms and transforming big data into valuable insights using data science and analytics. My primary interests include distributed systems, large-scale structured storage & query optimization, and data exploration and prediction with ML/AI.

Dhyey
Dhyey S.

Dedicated Data Engineer with proven proficiency in Java 8 and Python, as well as expertise in NumPy, SciPy, Scikit-Learn, Pandas, Matplotlib, Jinja2, Selenium. Versed in programming, data computing, research design, and data analysis, implementing action-oriented solutions to business problems. Experienced with Big Data Modelling, Computer Vision, Integration, and Analysis, including the Hadoop ecosystem and Spark. Dealt successfully with high-impact situations at Amazon and worked extensively with various AWS products such as Amplify, Sagemaker, DynamoDB, S3, EMR, Data Pipeline, Lex, Lambda. Extremely engaged in Artificial Intelligence, with a significant portion of university and work projects being in this area.

Jordi
Jordi C.

Jordi is a skillful Software Engineer with 18 years of software development experience for global companies, including Amazon and BBC. He has acquired the skills and expertise to build scalable startups that solve real-world problems, taking advantage of the newest technologies and development tools. Jordi is highly-skilled in Python, Java, and related frameworks, having worked extensively with a lot of different technologies. He has knowledge of systems engineering, architecture, and analysis, machine learning and neural networks, full-stack web development, as well as soft skills, including business and team management.

Rajeev
Rajeev K.

Rajeev is a pragmatic and dedicated Data Engineer with 8 years of experience in application development and data science projects in a variety of industries and applications. He's presently concentrating on cutting-edge technologies like TensorFlow, Keras, deep learning, machine learning, and the majority of the Python data science stack. Rajeev has used his skills for multiple real-world commercial problems in the areas of natural language processing, image processing, and time series analysis.

Dino
Dino C.

Dino is a Senior Python Developer with expertise in developing custom software solutions to meet demanding client requirements on projects - leveraging state-of-the-art libraries and frameworks in machine learning, computer vision, and artificial intelligence to deliver solutions. He takes ownership and brings inventive solutions to technical complexities - investigating system components to discover and remove performance bottlenecks and sources of unreliability.

Balazs
Balazs K.

Balazs is a Senior Software Engineer innovating and implementing modern Java-based solutions on projects - making well-reasoned design decisions and tradeoffs on codebases, architecting and evolving solutions, fixing issues and tackling technical debts. He works with different frameworks, databases and modern tools and takes a personalized approach to solve tough challenges - giving clients the support they deserve and the quality they expect.

Jakob
Jakob S.

Jakob is an Engineer turned Data Scientist and Machine Learning Engineer, with proficiency in Python and its frameworks. He has the ability to transform a sea of data into actionable insights that can have an impact on businesses and projects- from building predictive models for various types of cancer detection, to setting-up consumer facing models in the transportation and entertainment sectors, as well as the financial industry. In his role as an Educator in the Data Science and Data Analytics programs, he has shown great communication and mentorship skills, having encouragingly guided his students to achieve high-level technical skills and great professional performance in the industry.

Felipe
Felipe L.

Felipe is a Data Scientist with working knowledge of modern data science tools and languages to design, build and implement sophisticated data pipelines and enterprise-grade data processing, analytics and reporting applications on multiple data science projects. He maintains and enforces common conventions, standards and technologies across database structures and applications to drive scalability and increase consistency.

Hire Matplotlib Developers with UpStack

Hire a highly skilled Matplotlib developer and improve your company with UpStack. The proper candidate should be practical, experienced, responsible and receptive, or your project could get behind. UpStack resolves your hiring troubles by matching your company with vetted senior level Matplotlib programmers. Our highly effective matching process uses advanced artificial intelligence that finds your business an ideal prospect for your forthcoming project. Our blend of A.I. and personal interviews assures an incredible match for your development team. Our ultimate goal is to help you find a Matplotlib developer that can contribute to your organization right away. Through the years we have refined our hiring process, and is now trusted by top startups country wide. Begin your hiring process with UpStack now and start adding talented developers to your staff.

Hiring a Matplotlib developer with upstack couldn't be simpler with our capacity to intelligently match you to the right developer. With UpStack the hiring process is streamlined and takes hours instead of weeks to choose a Matplotlib programmer. Our matching program and expert team will save you time and gets any project started swiftly. UpStack has taken every consideration into account, from the developers availability to the time zone difference between you and the programmer. We're not searching for a good developer fit, we're looking for the perfect one. Simply tell us what skills you're searching for and an UpStack specialist will contact you, it's that easy.

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Why hire a Matplotlib developer with UpStack

  • Matplotlib Developer and Programmer

    Top Matplotlib talent pre-vetted for a perfect fit.

    Our 8-point assessment evaluation ensures that every senior Matplotlib developer you interview exceeds expectations across technical, cultural, and language criteria.

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    Hire reliable, passionate Matplotlib developers.

    From late-night sprints to jumping on a last-minute face-to-face, we ensure that your recruits are down to get the job done right.

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    Risk-free 14-day trial.

    Confidently onboard candidates with our no-questions-asked trial period. We'll walk you through the contract-to-hire process if and when you're ready to make it permanent with your new Matplotlib engineer.

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    Our Client Success Experts provide white-glove service.

    Stay laser-focused on your business goals while our team of experts curates potential candidates and manages seamless programmer onboarding.

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    Build your optimal team confidently, quickly.

    UpStack handles everything including background and reference checks, legal issues, and more. Our platform streamlines billing, timesheets, and payment all in one easy-to-access place.

  • Schedule a call with a Client Success Expert to get starting hiring a Matplotlib developer.

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Hire from the Best.

Working with our Client Success Experts, we'll help you build the remote team of your dreams with top Matplotlib talent from around the world.

Pre-vetted, reliable Matplotlib developers are standing by.

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Hiring Matplotlib Developers | FAQs

  • How much does it cost to hire a Matplotlib developer?

    UpStack has a simple billing model where each Matplotlib developer has a standard hourly rate averaging between $65-$75 per hour. Rates are based on skills, knowledge, and experience, and our developers are available mainly for full-time engagement (40 hours per week) and the occasional part-time opportunity (20 hours per week).

  • What is the process to find a Matplotlib developer?

    You'll connect with an UpStack Client Success Manager to determine your immediate needs. Our team uses a combination of AI and personal assessment to short-list candidates that match your job requirements. From there, you interview, select, and onboard the perfect developer, all within days of your initial call.

  • How does UpStack find its Matplotlib developers?

    UpStack's talent recruitment team connects with software developers around the globe every day. Each Matplotlib programmer is vetted for technical, communication, and other soft skills necessary for a developer to successfully work with your team. Once vetted, the candidates are accepted into the UpStack developer community.

  • How is UpStack different from an agency or recruiter?

    UpStack's community of available, pre-vetted engineering talent means minimizing roadblocks to scaling your team effectively, efficiently, and immediately. Our Client Success Experts work with you and your UpStack developer to ensure a smooth and seamless engagement.

  • Can I hire UpStack Matplotlib developers directly?

    Yes, you can hire UpStack Matplotlib developers at any time, and with the same assurance of smoothly on boarding talent risk-free. First, we'd create a job opening on our portal. Then, we'd vet, interview, and match developers that meet your needs. If you're satisfied at the end of the 14-day trial period, at any time you can directly hire them.