Build a team of high-quality remote Pandas developers in just a few days. Leverage the power of our vertically-integrated, AI-based platform and scale your engineering team with the push of a button.
Amine has more than 3 years of experience in the fields of quantitative analysis and information technology. He is skilled in technologies like Pandas, MATLAB, Regression, etc.
Abdul is a passionate software engineer with 8+ years of experience working in different organizations ranging from startups to tech giants. He has worked on diverse projects such as back-end automation, data engineering (and visualization) and application development.
Murat is a quantitative analyst with over 10 years of experience in data engineering, data science, and software engineering. His specialties include financial services, asset valuation, pricing, analytics, modeling, risk management, etc.
Mehul has a computer science background with solid technical skills in Data engineering, Python, ML, Pandas, Java, AWS, MySQL, open source technologies and others.
Romain is data science professional with 3+ years of experience building data pipelines & back-end systems, analyzing data, providing meaningful insights, and deploying software solutions.
Turing has been providing us with top software developers in Latin America. All our other vendors combined don't have the headcount that Turing does.
We hired about 16 ML engineers from Turing which reduced our hiring effort by 90% as compared to other vendors.
We're super excited about Turing as we will scrap our existing lengthy interview process and lean on Turing's vetting to build up teams on demand.
to fill most roles,
sometimes same day.
of engineering team time
saved per developer on interviewing.
We’ll schedule a call and understand your requirements.
Get a list of pre-vetted candidates within days.
Meet and select the developers you like.
Start building with a no-risk 2 week trial period.
Pandas is a fast, robust, flexible, easy-to-use open-source data analysis and manipulation tool built on the Python programming language. It is widely accepted among the Python community and used in many other packages, frameworks, and modules.
Pandas, as an excellent data manipulation tool, has grown widely with vast use cases and enormous flexibility for preparing input data for machine learning, deep learning, and neural network models, including its application in multiple fields such as academic and commercial domains, finance, economics, statistics, analytics, etc.
Hiring Pandas developers is highly beneficial for companies that focus on data science, machine learning, artificial intelligence, or other related fields. These developers are able to manipulate large quantities of data to make systems more insightful.
Some of the most incredible benefits of Pandas as a highly sought-after library consist of its strong open-source community, simplicity and flexibility, speed and productivity with solid process control capabilities for complex applications. The primary features of the library include data manipulation operations such as merging, reshaping, and selecting, as well as data cleaning and wrangling processes.
Companies that aim to build scalable, reliable, and efficient enterprise applications, automate operations, or process large chunks of data must go for the best Pandas developers. Several Pandas developers have a good understanding of data manipulation and analysis to draw meaningful insights. They are also experts in structures and algorithms that collect, cleanse, and validate data to build custom tools, web scraping, and aggregation pipelines that allow greater indexing and slicing abilities.
But recruiting the best Pandas developers can prove to be a difficult task, as thousands of fast-scaling companies compete to hire from the limited pool of skilled Pandas developers. The scarcity of experienced developers also means that hiring a Pandas developer would be costly and time-consuming.
So, what’s the solution? Is it possible to hire cost-effective Pandas developers quickly without compromising on quality and efficiency?
The answer is yes.
Turing offers remote Pandas developers pre-vetted to a high standard at half the price to companies. We select the best remote Pandas developer after testing their expertise in many areas like proficiency in core Python, web frameworks, Object Relational Mappers (ORM), Data Science, Machine Learning and AI, Deep Learning, algorithm optimization, datasets visualization, familiarity with Multi-Process Architecture, analytical design, and good communication skills, Version Control, etc.
With this, companies can now build a team of the best remote Pandas developers in just a few days with Turing.
Including top companies backed by:
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