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Data Analysis 10yr.
Python
C#
Elixir
JavaScript
R
NumPy
TensorFlow
ASP.NET Core Framework
ASP.NET MVC Pattern
Entity Framework
caret
dplyr
rEDM
Shiny
tidyr
dash.js
Matplotlib
NLTK
Pandas
Plotly
SciPy
Basic Statistical Models
Chaos Theory
Cluster Analysis
Decision Tree
Factor Analysis
Jupyter Notebook
Linear and Nonlinear Optimization
Logistic regression
Multi-Models Forecasting Systems
Nearest Neighbors
Nonlinear Dynamics Modelling
Own Development Forecasting Algorithms
Principal Component Analysis
Random Forest
Ridge Regression
Microsoft SQL Server
PostgreSQL
AWS
GCP
Anaconda
Atom
R Studio
Visual Studio
Flask
Git
RESTful API
Windows
...

- 10+ years in Forecasting, Analytics & Math Modelling - 8 years in Business Analytics and Economic Processes Modelling - 5 years in Data Science - 5 years in Financial Forecasting Systems - 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 - 3 years in Web Development: Knowledge of C#, .Net and JavaScript for web development - Self-motivated, conscientious, accountable, addicted to data processing, analysis & forecasting

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Seniority Senior (5-10 years)
Location Ukraine
Data Analysis 4yr.
AWS ML (Amazon Machine learning services) 4yr.
Neural Networks
Data Mining
Business Analysis
Keras
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
Xgboost
Python
NLTK
Pandas
Plotly
SciPy
Data visualization
Docker
FastAPI
Flask
Git
Microsoft Visio
RabbitMQ
AI
Computer Vision
Computer Vision (CV)
Custom API
Deep Learning (DL)
DVC
Huggingface
NLP
tf-serving
Time Series
YOLO
...

- 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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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Python
Computer Vision (CV)
Pandas
ML
AI
Deep Learning
Keras
Kubeflow
Mlflow
NumPy
OpenCV
PyTorch
Scikit-learn
Spacy
TensorFlow
Matplotlib
NLTK
Plotly
poetry
SciPy
Streamlit
Google BigQuery
MySQL
AWS RT
GCP Storage
CI/CD
Jenkins
Docker
Git
Payment Gateways
Regexp
Sublime Text
argparse
Custom API
Deep Learning (DL)
DVC
Hugging Face
Kubeflow for ML pipelines
Label Studio
MMCV
NLP
ONNX
Recommender Systems
tf-serving
Voxel51
YOLO
...

Data Science engineer with over 3 years of practical commercial experience in Natural Language Processing (NLP), Computer Vision (CV), and Recommender Systems. Available skills in data analysis using machine learning approaches to satisfy business needs, problem-solving, and other tasks in this sphere. A person, focused on obtaining the best results, using all knowledge and skills. Friendly and ready to help the team complete tasks and solve certain problems.

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Seniority Middle (3-5 years)
Location Ternopil, Ukraine
Python
AWS SageMaker (Amazon SageMaker)
NumPy
OpenCV
PyTorch
Scikit-learn
TensorFlow
C++
Java
Apache Spark
Matplotlib
NLTK
Pandas
PySpark
SciPy
Databricks
Jupyter Notebook
MapReduce
Apache Hadoop
Google BigQuery
Greenplum
MongoDB
MySQL
NoSQL
PostgreSQL
SQL
AWS
IBM Spectrum LSF
Slurm
AWS Batch
AWS Lambda
AWS S3
Docker
Git
Linux
PyCharm
Shell Scripts
Multi-threading
YAML
...

- 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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Seniority Middle (3-5 years)
Location Hannover, Germany
Python 8yr.
AWS
R 1yr.
AWS SageMaker (Amazon SageMaker)
BERT
Keras
Kubeflow
Mlflow
NumPy
OpenCV
PyTorch
Spacy
TensorFlow
C++
Apache Spark
Beautiful Soup
NLTK
Pandas
PySpark
Apache Airflow
AWS Athena
Power BI
AWS ElasticSearch
AWS Redshift
Clickhouse
SQL
AWS EC2
AWS ECR
AWS EMR
AWS S3
AWS Timestream (Amazon Time Series Database)
Eclipse
Grafana
Kafka
MQQT
Kubernetes
OpenAPI
ArcGIS
GPT
Guroby
ONNX
Open Street Map
Rasa NLU
...

- 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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Seniority Expert (10+ years)
Location Poland
UML
GCE
MVC
AWS ML (Amazon Machine learning services)
Python
Kubeflow
OpenCV
Spacy
TensorFlow
Xgboost
Matplotlib
NLTK
Plotly
PySpark
SciPy
Kibana
Tableau
AWS Redshift
Bigtable
ELK stack (Elasticsearch, Logstash, Kibana)
Google BigQuery
MySQL
SQLAlchemy
GCP AI
Apache ActiveMQ
CI/CD
Jenkins
Docker
FastAPI
Flask
Google API
Git
Logstash
Use Cases
Chat GPT
ChurnZero
Faiss
GPT
GPT-4
LangChain
Openai
Prophet
Python Requests Library
WebSphere App Serve
...

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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Seniority Senior (5-10 years)
Location Ternopil, Ukraine
Java
Spring Boot
MySQL
NoSQL
GCP
Python
Ant Design
XML
Apache Spark
Dropwizard
Hibernate
Spring
Core Java
Java Server Pages (JSP)
Java Servlets
JDBC
JPA
NLTK
pytest
Node.js
Apache Pig
HBase
Apache Hadoop
AWS ElasticSearch
Oracle Database
SQLAlchemy
AWS
AWS big data services
AWS EBS
AWS ELB (Amazon Elastic Load Balancer)
AWS RDS (Amazon Relational Database Service)
AWS S3
Apache Maven
Bamboo
Jenkins
Kubernetes
CAS
JBoss
Jetty
Collections API
RESTful API
Swing API
Django
Flask
Docker
Eclipse
Git
Hyperledger
Kafka
RabbitMQ
Linux
Windows
MVC
Observer
Singleton
SOAP
...

- 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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Seniority Architect/Team-lead
Location Ukraine
Java 15yr.
Python 3yr.
Hadoop ecosystem
Apache Spark ML
Deep Learning
Machine Learning
PyTorch
Scala
Apache Spark
Spring
Vaadin
Hibernate/JPA
JavaFX
Spring Boot
Spring Data
Spring Integration
Spring JDBC
Spring model-view-controller (MVC) framework
Swing
Mockito
NLTK
Apache Hive
Apache Oozie
AWS Athena
AWS ElasticSearch
Cassandra
HDFS
HDP
MariaDB
MongoDB
MySQL
PostgreSQL
AWS
GCP
AWS API Gateway
AWS Cloudformation
AWS EC2
AWS EMR
AWS Lambda
AWS RDS (Amazon Relational Database Service)
AWS S3
AWS SNS
AWS SQS
Agile
Scrum
TDD
Waterfall
Ansible
Bamboo
Gradle
Jenkins
Kubernetes
OpenVPN
Apache Maven
JMeter
JUnit
Kafka
BIND
Kerberos
LDAP
Camunda
Eclipse
Nginx
Terraform
CUDA
FairSeq
FindBugs
Grid Computing
IntelliJ IDEA
JMH
KeyCloack
MPI
Natural Language Processing
Network technologies
OpenCL
OpenMP
PMD
Ranger
Raspberry PI
Spark MLLib
Spark Standalone cluster
Stanford Core NLP
virtualization
...

• 10+ year experience with JAVA and Linux operating systems: Java 11, Spring Boot, Spring Data JPA, MySQL/MongoDB, ElasticSearch, Jenkins CI • Big Data, Data Engineering, NLP, Corpus Linguistics, ML, DL • Design and implement a distributed warehouse system (AWS migration), REST API design and cache implementation (1,000-10,000 requests/sec), Design and implement high-load microservices • Deliver special courses devoted to concurrency and prepared handbook on “Parallel and Distributed Computations” [technologies: (basics of OpenMP, MPI, CUDA, OpenCL), advanced in Java concurrency]; • Scientific projects at university related research increasing effectiveness of crypto-analysis • Upper-Intermediate English • Available Full-time • Ready to start in 2 weeks • No scheduled vacations within next 3months

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Seniority Senior (5-10 years)
Location Ternopil, Ukraine

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Manager
Maria Lapko
Global Partnership Manager
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Want to hire NLTK developer? Then you should know!

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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 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

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FAQs on NLTK Development

What is a NLTK Developer? Arrow

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

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

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

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

If your project involves developing applications or systems that rely heavily on NLTK, then hiring a NLTK 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 NLTK Developers.
Interview: Evaluate candidates through interviews.
Hire: Choose the best fit for your project.

What is the cost of hiring a NLTK 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 NLTK Developers on a part-time or project-based basis? Arrow

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

What are the qualifications of NLTK 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 NLTK 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 NLTK 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.