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Simon K., Python Software Engineer with data engineering skills

Hannover, Germany
Last Updated: 23 Apr 2024

- 2+ years of experience with Python as a Data Engineer and Deep/Machine Learning Intern - Experience with Data Vault modeling and AWS cloud services (S3, Lambda, and Batch) - Cloud Services: Sagemaker, Google BigQuery, Google Data Studio, MS Azure Databricks, IBM Spectrum LSF, Slurm - Data Science Frameworks: PyTorch, TensorFlow, PySpark, NumPy, SciPy, scikit-learn, Pandas, Matplotlib, NLTK, OpenCV - Proficient in SQL, Python, Linux, Git, and Bash scripting. - Had experience leading a BI development team and served as a Scrum Master. - Native English - Native German

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NLTK

NLTK

Python

Python

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Raman, DATA SCIENTIST/ MACHINE LEARNING ENGINEER

Poland
Last Updated: 25 Oct 2023

- 10+ years experience working in the IT industry; - 8+ years experience working with Python; - Strong skills with SQL; - Good abilities working with R and C++; - Deep knowledge of AWS; - Experience working with Kubernetes (K8s), and Grafana; - Strong abilities with Apache Kafka, Apache Spark/PySpark, and Apache Airflow; - Experience working with Amazon S3, Athena, EMR, Redshift; - Specialised in Data Science and Data Analysis; - Work experience as a team leader; - Upper-Intermediate English.

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NLTK

NLTK

Python

Python   8 yr.

Amazon Web Services (AWS)

Amazon Web Services (AWS)

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Borys, Data Science Engineer

Ukraine
Last Updated: 7 Mar 2024

Certified Data Scientist with a strong focus on NLP, CV, and Recommender Systems backed by 4 years of commercial experience. Proficient in Python with a rich toolset including Pandas, numpy, TensorFlow, and Keras. Possesses a solid track record in building products from scratch and devising innovative solutions with machine learning and data processing methodologies. Hands-on experience in deploying scalable solutions using Kubeflow, Docker, and CI/CD practices, complemented by proficiency with various databases such as MySQL and BigQuery. With a Bachelor’s and Master’s degrees in Cybersecurity Engineering, and continued education via a PhD, the engineer exemplifies a deep understanding of computer science fundamentals and data science trends. This technical expertise, combined with domain knowledge in e-commerce and network security, distinguishes the potential candidate as a valuable asset for fostering growth and innovation in technology-driven environments.

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NLTK

NLTK

Unified Modeling Language (UML)

Unified Modeling Language (UML)

Google Compute Engine (GCE)

Google Compute Engine (GCE)

Model-view-controller (MVC) pattern

Model-view-controller (MVC) pattern

AWS Machine learning services (ML)

AWS Machine learning services (ML)

Python

Python

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Nadya, Data Analyst, Economic Processes Analysis & Modelling

Ukraine
Last Updated: 23 Apr 2024

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Financial Forecasting Systems - 5 years in Data Science - 3 years in Web Development - Master of Statistics and Probability Theory (diploma with honours), PhD (ABD) - BSc in Finance - Strong knowledge of Math & Statistics - Strong knowledge of R, Python, VBA - Strong knowledge of PostgreSQL and MS SQL Server - Knowledge of C# - Knowledge of .net web development technologies - Basic web technologies (JavaScript) - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

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NLTK

NLTK

Data Analysis

Data Analysis   10 yr.

Python

Python

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Hemant, Solution Architect

Ukraine
Last Updated: 4 Jul 2023

- 15+ years of experience in software development - Managed over 15-20 employees on a daily basis - Good Knowledge of Enterprise Design Patterns - Good Knowledge of the Hyperledger fabric BlockChain framework - Good Knowledge of the health care Domain and Banking Domains. - Technical expertise in Python Django, MEAN Stack, Blockchain, J2SE, J2EE, SQL, NoSQL, Spring, and Hibernate. - Excellent Exposure to AWS Clouds like EBS, RDS, ELB, etc. - Excellent Exposure to GCP like Cloud Storage, App Engine, etc. - Good Knowledge of various repository Tools like GIT, SVN, etc. - Excellent exposure to Analysis, Design, and Development phases of projects - Excellent Exposure to Unit and Integration Testing. - Excellent development skills adhering to Coding standards. - Good communication skills within the organization as well as with the Client. - Good Knowledge of various JAVA IDE like2 Eclipse, NET Beans, etc. - Knowledge of SQL Scripts and Stored Procedures. - Excellent Exposure to building tools like ant, MVN, Bamboo, etc. - Good Knowledge of application servers like JBoss.

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NLTK

NLTK

Java

Java

Spring Boot Framework

Spring Boot Framework

MySQL

MySQL

NoSQL

NoSQL

Google Cloud Platform (GCP)

Google Cloud Platform (GCP)

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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 NLTK 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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Владислав «Sheepbar» Баранов
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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!)
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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.

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FAQs about NLTK Development

How do I hire a NLTK developer? Arrow

Are you desperately looking for a NLTK 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 NLTK 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 NLTK developers? Arrow

Sure enough, within the network there must be dozens, if not hundreds, of services and platforms where you can look for the NLTK 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 NLTK 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 NLTK candidates for every position. We live and breathe technical excellence, borne out of extensive industry expertise.

How quickly can I hire NLTK 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 NLTK 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 NLTK engineers in person. Make the right call. Bring a new NLTK 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 NLTK 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 NLTK 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 NLTK 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 NLTK developers. Upstaff has a network of vetted and tested NLTK developers. Here, you can hire web developers for a few simple coding tasks with NLTK.

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Table of Contents

How and where is NLTK used?

  • Text Classification: Identifying spam emails
  • Sentiment Analysis: Analyzing customer reviews
  • Named Entity Recognition: Extracting names of people or places
  • Machine Translation: Translating text between languages
  • Summarization: Generating concise summaries of articles
  • Part-of-Speech Tagging: Identifying parts of speech in a sentence
  • Topic Modeling: Analyzing themes in a collection of documents
  • Word Tokenization: Breaking text into individual words
  • Syntax Parsing: Analyzing the grammatical structure of sentences
  • Spell Checking: Correcting spelling errors in text

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

Seniority NameYears of experienceResponsibilities and activitiesAverage salary (USD/year)
Junior0-2 years
  • Code debugging
  • Simple feature implementation
$50,000
Middle3-5 years
  • Complex feature development
  • Database optimization
$80,000
Senior6-8 years
  • Architecture design
  • Team mentoring
$110,000
Expert/Team Lead9+ years
  • Project management
  • Strategic planning
$150,000

Quick Facts about NLTK.

  • NLTK – Natural Language Toolkit, was created in 2001 by Steven Bird.
  • Popular projects using NLTK include sentiment analysis and text classification.
  • Entry threshold for NLTK is basic Python knowledge and understanding of NLP concepts.
  • The most popular related technology to NLTK is spaCy, known for its speed and efficiency.
  • Fun Fact: NLTK’s “book” module provides a wealth of examples and exercises for NLP enthusiasts.

TOP NLTK Related Technologies

  1. Natural Language Toolkit (NLTK)
  2. Python 3.8
  3. NumPy 1.19.2
  4. SciPy 1.5.2
  5. Matplotlib 3.3.2
  6. scikit-learn 0.23.2

What are top NLTK instruments and tools?

  • WordNet: Lexical database from Princeton Uni, released in 1985
  • CMU Pronouncing Dictionary: Carnegie Mellon’s phonetic dictionary, released in 1993
  • Stanford POS Tagger: Stanford NLP Group’s part-of-speech tagger, released in 2003
  • TextBlob: Simplified text processing from TextBlob contributors, released in 2014

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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