lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist, Research Engineer
Category: Other
Experience: 0 years | English: intermediate

Ph.D. in Artificial Intelligence (fuzzy clustering methods). Over 5 years of educational and research experience in artificial intelligence field, especially in Machine Learning, Data Mining, Computational Intelligence, fuzzy-clustering methods and Text Mining.
Machine Learning, Data Mining, Matlab (3 years), Java (basic skills, finished "Java OOP" course), C++ (theoretical knowledge), data clustering, implementation of artificial intelligence techniques and algorithm programming using Matlab
I am interested in a job where I will be able to apply my theoretical knowledge in machine learning, data mining and get practical experience
Position: Data Scientist/Research Engineer
Category: Python
Experience: 2.5 years | English: fluent

Publication at IEEE, SITIS conference 2014
Researcher in Machine Learning and Natural Language Processing areas. Experienced in Python (pandas, numpy, scipy, nltk, scikit-learn, pytest, django and etc libraries), Java, C++, Haskell, Hadoop ecosystem(HDFS, Yarn, Apache Spark, Cassandra and etc). Focused on developing state of the art solution for real challenging problems.
Position: Data Scientist,Research Engineer, Research Data Analyst (Healthcare and HealthTech)
Category: Node.js
Experience: 7 years | English: upper

- Participation in international scientific conferences and publishing articles in Data Science and Statistics in Medicine.
- Master's Degree in Computer Science in Biology and Medicine.
- Writing patent 
- Health Coach Certificated
I am a Healthcare Data Scientist and Research Engineer with strong domain knowledge in Healthcare, Biology, Medicine, Biotechnology, Genetics, Nutrigenomics, Biochemistry and Bioinformatics.
I have Health Coach Certification.
7 years of Python Development, and more than 5 years in Data Science and Machine Learning. 
I am very inspired by the information hidden in big amounts of data and the process of delivering smart and complex decisions to make products better.
I have a good knowledge of data science best practices and experience in creating scientific algorithms for detecting different diseases based on medical data from scratch, solving scientific tasks, and analyzing data related to medicine and biology.
- very interested in healthcare projects and projects related to biology, medicine, bioinformatics, and natural sciences.
- Looking for a job with a team of data science professionals to share knowledge.
- Interested more in the Research part and Model creation, than Deployment.
Position: Data Scientist, Researcher, Ph.D Physics&Mathematics
Category: Data Science
Experience: 5 years | English: upper


***Work Experience*** 
- 3 years of working experience as Data Scientist in multi-national IT companies
- Developed and implemented  Data Preprocessing and Machine Learning components for AutoML tool
- Built and evaluated Machine Learning algorithms for large scale datasets in Retail, Supply Chain and Sensors signal processing field  as classification, regression, time series forecasting and clustering
- Developed predictive features based on Retail domain knowledge that helped to improve models performance
- Conducted Exploratory Data Analysis and Advanced Analytics reports
- Researched and improved Sensor data tracking related approaches (multivariate irregularly samples time series), Sensors signals data processing and patterns recognition
- Developed high-level documentation for explored and developed algorithms

- 2 years experience in IT as Project Manager and Web Developer on freelance (Agile, Jira, HTML&CSS, Adobe Photoshop)

- 6  years experience in FMCG, Supply Chain (Logistics Management, Demand Forecasting, Supply Planning, Sales&Operations Analysis)


***Education***
 - Ph.D in Physics&Mathematics, Taras Shevchenko  National University of Kyiv


***Skills***
Data Preprocessing, Advanced Analytics, Machine Learning algorithms including supervised learning ( classification/regression, Random Forest, XGBoost, CatBoost, LGBM, AdaBoost, ExtraTrees, Logistics Regression, KNN) and unsupervised learning (clustering/dimensionality reduction, K-means, DBSCAN, HDBSCAN, PCA), Ensembles Learning (stacking, super learners) , Time Series (ARIMA, SARIMA, Facebook Prophet, converting Time Series to supervised learning), Signals processing for sensors data, Data visualization and presentation
Looking for position related to Data Science/Machine Learning within ambitious company with interesting and real-live projects. Preferable multi-national or local companies with high ethical standards and professional team. 

Consider remote job.
Position: Data Scientist, R programing,  R+shiny programing
Category: Data Science
Experience: 5 years | English: upper

Data scientists and R programmer with ML knowledge. Good experience in the development and design of analytics reports and apps using shiny. Building R packages. Data analysis and statistical outputting using R language. Strong analytical skills, exceptional troubleshooting. SQL, Postgresql, and BigQuery knowledge.

Development of scoring models
A/B tests automatisation
Anomalies detection 
Time-series forecasting
Creation of dynamical dashboards and reports
Shiny-server maintenance
R-package development
Marketing traffic optimization
5+ years  experience with R+Shiny, SQL,BigQuery, PostgreSQL
R + shiny stack
Position: data scientist; scientific computing/machine learning developer
Category: Data Science
Experience: 11 years | English: fluent

**I am currently based in Prague**
social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo. 
sports prediction systems
nonstandard recommender systems(ideas from math analysis).
signal processing+spectroscopy+machine learning
cyber threat detection systems.
non-standard and customized clustering algos, customized anomaly detection for computer vision.
crypto currencies anomaly detection. 
predictive maintenance, synthetic models based on mechanical engineering equations and productionalization of algorithms.
matlab to python/c++ conversion
10+ years: python(scikit learn,numpy, scipy, pandas), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing, cryptocurrencies fraud detection
7 years: usage of mathematics, machine learning, statistics for various development tasks
2 years: c++/scientific computing/computational fluid dynamics
BSc in physics, MSc in math;
MEng in aerospace engineering from a top western school
data science/machine learning, mathematical modeling, aerospace engineering
Position: Data Scientist, Senior Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


I am a data scientist with 4 years of full-time experience in IT industry, 6 years in academia, and PhD in environmental engineering. 
I was involved in software development projects with data science modules developed from scratch, as well as in the improvement of existing solutions. I have hands-on experience with classic machine learning, natural language processing, computer vision, deep learning and neural networks, data analysis, and statistical modeling. I have experience in the full cycle of modeling and custom algorithms development in Python starting from a business idea or industrial need, data acquisition and preparation, design, prototyping, tuning, delivery into production, and performance analysis.
I am good at professional communication with business stakeholders, translating real-world business problems into data science solutions, and explaining complicated mathematical concepts to non-expert business stakeholders in a comprehensive manner. 
I am looking for a company and position in which I can apply my professional skills and passion for data to bring value to business and society.
Position: Data Scientist (Senior / Lead / Principal)
Category: Data Science
Experience: 8 years | English: fluent


Data Scientist with 8 years experience in various domains.
Have experience working in large outsource and outstuff companies and foreign product start-ups.

In the product company driving the overall AI & R&D direction. Beign accountable for the AI side of the product conducting overall techincal oversee. Covering all stages from identifying business needs, building roadmap and architecture (DS, R&D, MLOps, Hardware), setting up processes, data collection and annotation, developing, deploying and maintaining the solution. Delivering results to C-level. Working hands-on on the most difficult technical tasks to keep dev skills up to date.

Working in consulting on Senior and Lead positions. Running pre-sales, building roadmaps, leading the development of solutions. Working in a whole variety of possible DS projects including ML, CV, NLP, DSP and others.

As for hobbies, passionate about microcontrollers. Have built a number of pet projects on Raspberry Pi and Jetson Nano. Mostly with CV related applications. Including but not limited to some real-time CV solutions. Not commercial though. As for the commercial projects, such kind of projects have been deployed on the cloud services in my practice.

I can work in both senior and managerial positions, although I have experience of successfully managing teams of 3 to 9 people. I always remain hands-on and passionate about development.

Some facts,
- Permanently leading teams of Data Scientists and MLOps Engieneers
- Driving DS projects as a Lead / Principal Data Scientist from scratch to production
- Experienced in developing DL (CV/NLP) and ML solutions
- Experienced in Cloud Platforms (GCP, AWS, Azure). Two-times GCP certified.
- Communicating directly to the customers (outsource, outstuff) and C-level management (product).

Open to Senior / Lead / Principal / Head positions.
My priority would be a product company, ideally (but not necessary) in the manufacturing space.
However will give due consideration to all opportunities!
Position: Data Scientist Team Lead
Category: Python
Experience: 11 years | English: fluent


various computer vision projects, predominantly for mobile targets using conventional, machine learning and latest deep learning approaches.
Position: Data Scientist / Team Lead / Senior PHP Developer
Category: PHP
Experience: 3 years | English: upper

I started in my current company as a trainee and became a DevLead in 1.5 year. Then around year ago I was privileged to lead a new project. In three months the team grew from 5 members up to 15. And even with a such hight load on the project I succeeded to manage the tream efficiently as a good Team Lead.

Also I had luck to recive a greate experience in recent months. I worked abroad side by side with the client. We worked in a pure agile. We started from ideas and finished with a new product (Drupal 8 + ReactJs) which was successfully presented at the international conference.

I completed with honors a Master degree in Informatics.
My main skill is being a quick learner. I became a Team Lead from a trainee. And now I'm looking for new opportunities and challenges.
I'm looking for something new and challenging.
I'm highly interested in data science/machine learning/computer vision. 
Also I would love to work on the edge between GameDev and web areas.
Position: Data Scientist trainee
Category: Data Science
Experience: 0.5 years | English: intermediate

....................in progress.............................
Finished a few years ago Data Science course at UData School.
Also finished an online Data Science course at DataRoot University.
Now I'm learning Deep Learning with PyTorch. After PyTorch, I'm going to learn NLP.
Beginner at Kaggle
Position: Data Scientist trainee
Category: Data Science
Experience: 0 years | English: fluent

- "Google Cloud Big Data and Machine Learning Fundamentals", by Google, online
- "How Google does Machine Learning", by Google, online
- "What is Data Science?" by IBM, online
-"Using Python to interact with the Operating System", Google, online
- "Crash Course on Python", Google, online
- "Python for Everybody Specialization", by University of Michigan, online
- Graduated with a master's degree from National Aerospace University, Kharkiv Aviation Institute (KHAI)
- Field of study: Applied Mathematics, Computational Intelligence
- GPA of 91.8 (Red diploma)
- Title of thesis: Application of machine learning methods to COVID-19 epidemic process simulation (English language)
- Implementing different machine learning models on datasets to forecast future trends (based on Python programming language)
- Python programming language hands-on training over 250 hours

Furthermore, I am capable of being situated in the middle of the customer and developer cycle and managing the interactions. Problem-solving, facing new challenges, thinking outside the box and flexibility are my main characteristics. I am eagerly looking forward to playing my role in a professional team.
Position: Data Scientist (Trainee)
Category: Data Science
Experience: 0.5 years | English: upper


Python knowledge, 
Basic experience TensorFlow, Pandas, NumPy, Jupyter, 
Knowledge OOD, 
Experience with Docker, git, linux, macOS
Passed Udacity courses intro to machine learning, Deep learning, Intro To Artificial Intelligence, Introduction To Computer Vision, Google machine learning courses.

Understanding Swift, Java (self-education) for mobile applications using the courses Udacity, Udemy. Using MVC architectural pattern, using Firebase as database in mobile and web project.

More than 1.5 years of development under the frontend (HTML, CSS, JS, Bootstrap etc.), experience with Angular, NodeJS, React and others. Experience with various CMS such as Drupal, Wordpress, Shopify and others.
Position: Data Scientist Trainee
Category: Data Science
Experience: 1 years | English: upper


Human Image Segmentation project
In this project, I built a Convolution neural network in Pytorch using U-Net architecture on a Human Segmentation Dataset. I trained a model to identify a person in a picture, highlight him/her, and change the background. 
The project is broken down into multiple steps:
1. Load and preprocess the image dataset.
2. Train the image segmentation model on the dataset.
3. Use the trained model to predict the image mask.
4. Evaluation.
Position: Data Scientist (trainee), Junior Data Analyst
Category: Data Science
Experience: 2 years | English: upper

>Current student of Data Science Program in online programming school Qwasar Silicon Valley;
Licenses & certifications:
> July 2021- Crash Course on Python by Google;
> July 2021 - SQL for Data Science by University of California, Davis.
>September 2021 - Data Visualization with Tableau.
- Onboarding and mentoring of new team members (8 people)
- Finding prospects and managing them in CRM (Salesforce, Pipedrive)
- Using research tools to analyze and interpret data (SimilarTech, ZoomInfo, etc.)
- Preparing reports of findings, illustrating data graphically (400 accounts and 600 leads per month), creating new ideas of research using data
- Making an analysis of different markets by using Python (correlation analysis, visualisation, etc.) and Google Data Studio
- Collaboration between departments
Position: Data Scientist with Data Engineering Skills
Category: Data Science
Experience: 6 years | English: fluent

IEEE VAST Challenge 2018 MC2, Identifying patterns and anomalies within spatiotemporal water sampling data. Our team won an award for "Elegant Design of an Interactive Display" (presented on the conference IEEE VIS 2018 in Berlin). My responsibilities included association rule mining (Apriori algorithm), correlation analysis, and visualization [R, SQL,Tableau];
Graduate of a German university with 4+ years of professional experience as Data Engineer and 2.5 years as Data Scientist. Highly skilled in SQL, Python, Machine Learning, and Data Visualization.
I'm a citizen of Kazakhstan, currently based in Almaty.
Work experience:
Data Scientist (Germany) - half year.

Paraphrase generation for coupon titles by using neural networks (Pytorch, LSTM, Bert, Spacy, Flask).

Research Assistant (German University) - 2 years

Data quality assurance, data cleaning, and data visualization (Python, Pandas, Numpy, Matplotlib);
Twitter Sentiment Analysis using Python and KNIME;
Geospatial data visualization using JavaScript (D3.js, Leaflet) and PostgreSQL (PgRouting, PostGis);

Data Engineer (Kazakhstan) - Data Warehouse Project:

Worked on all phases of data warehouse development lifecycle, from gathering requirements to testing, implementation, and support.
Data Sources: Oracle DB, WAY4 OpenWay, SAP ERP.
Developed ETL pipeline (Pentaho Data Integration, PL/SQL).
Used various aggregation functions for the BI reporting systems.

AML and Anti-Fraud Project:

Analyzed the current legislation for fraud detection in financial data.
Developed various PL/SQL subprograms like Stored Procedures, Functions, Jobs, and Packages.
Performed optimization and tuning of PL/SQL code and SQL queries.
Designed scenarios to detect suspicious transactions.
I would like to focus on classical machine learning and analytics rather than deep learning and computer vision
Position: Data Scientist with Healthcare Domain Knowledge
Category: Data Science
Experience: 2 years | English: upper

5th place out of 42 in Megogo Kaggle Challegne
1 year and 3 months work experience in Data Science.
1 year work experience as BI Developer and Deployment Specialist (Healthcare field).
2.5 year work experience as Medical Equipment Engineer.
Masters of engineering (Biotechnical and Medical Devices and Systems).
I am interested in healthcare projects. Financial field is also good for me.
Position: Data Scientist with Software Development Skills
Category: Other
Experience: 4 years | English: intermediate

Some of my past projects include: 
MLPNeuralNet - fast multilayer perceptron neural network library for iOS and Mac OS X. 740 stars and 218 forks on github. I independently created this library and published it with documentation and unit tests.

Gunfire Locator (volunteer project for Ukrainian Military Forces) – work in progress. Acoustic gun shot detector for check points and base camps. I'm responsible for data collection, signal processing and algorithms.

Since 2012 I'm the co organizer of the Kharkiv Artificial Intelligence Club.

As a member of the "Boost'em all" team I took 4th place on Human Motion Classification competition on Kaggle.

15+ finished MOOC courses and counting.
Machine Learning, R,  C, Objective-C, Python, Apache Spark BLAS, Accelerate Framework, MySQL, MongoDB, Unix, Exploratory Statistics, Inferential Statistics, Data Munging, Feature Engineering, Supervise Learning, Deep Learning, DSP, Julia, NumPy, Cluster Analysis.

US Visa - 5 years
I'm looking for the job in a company with great team of data scientists. My professional interests are signal and time series analysis, prediction modeling, machine learning. I expect professional management team and complex tasks.
Position: Data Scientist, Разработчик C++
Category: C++
Experience: 0 years | English: upper

High achievements diploma in KPIOpen 2017
First place in KHCUP 2017
Second place in Allukrainian students Olympiad in mathematics 2017 
High achievements diploma in 18th International Mathematical Olympiad for University Students, 13th-17th August 2017, Tehran
Solution of algorithmic problems, algorithms and data structures knowledge
Programming : C++ (MS Visual Studio, CLion, Sublime)
Good knowledge of STL
Python3 (numpy, matplotlib, requests, telepot)
Position: Data scienсe Team Lead
Category: Data Science
Experience: 5 years | English: upper

- developed full model creation cycle: from initiation and EDA to model in production and monitoring
- Speaker at Data Science conferences;
- Finalist of Vodafone Data Scince hackathon;
- Finalist of Global Hack Weekend.
- I've been working with data since 2006 in various roles starting from Data Engineer to Data Scientist
- Organized Data Science learning club
Churn prediction
Recommendation engines development.
Video recognition
Python (mainly for data preparision (pandas, numpy)
Huge experience with queries and ETL optimization. Managed a team of up to 10 people (hiring, motivation, development, mentorship)
Data Science Team Lead, Binary classification (fraud prevention, marketing strategy optimization,...), Recommender systems, Projects in NLP, Computer Vision
Independence in taking decisions in my area of responsibility, measurement of performance by clear KPIs and key results
Position: Data Scraping Expert, Senior Software Engineer
Category: Python
Experience: 9 years | English: upper


9+ years of experience in software development, web scraping and client’s problem solving. My main programming languages are Python and JavaScript. Ready for challenges!

Technical skills:
- Python, JavaScript, HTML, CSS
- MySQL, PostgreSQL, MongoDB, Redis, RabbitMQ
- Scrapy, Flask, Django, Laravel, Celery, Gearman, Jquery, React, Vue.js, Bootstrap.
- OOP, Design Patterns, TDD
- AWS (EC2, S3, DynamoDB, Lambda)
- Selenium WebDriver, Puppeteer, PhantomJS, Splash, Scrapinghub platform
- Linux servers administration, Git, Docker, Nginx, Apache, Jenkins, Supervisor
- Unit/Functional/Acceptance testing
- High load, microservices, debug and optimisation
- Architecture for custom apps, db structure, api integrations
- Refactoring big systems with not documented legacy code
- Elastic stack (Elasticsearch, Logstash, Filebeat, Kibana)
- Teamwork, Scrum, semantic code

Some achievements:
- Designed architecture and developed web scraping engine (~10mln scraped pages daily, 300mln scraped pages monthly)
- Designed and developed ELK based statistic service for web scraping app
- Bypassed different bot/scraping protection systems
- Websites which have been scraped: google, amazon, ebay, aliexpress, zillow, craigslist, yelp, yellowpages, fastpeoplesearch and many more small websites
Position: Data Searcher / Content Manager
Category: Other
Experience: 3 years | English: upper


Searching for information on tourist and maritime goods on official and competitor sites, in various web and offline catalogs.
 Organizing information in Excel tables.
 Working with Google Sheets.
 Work with web page code.
 Preparation of algorithms for mass search of information.
 Working with English-language data.
 Work with different types of files.
 Work with large volumes of information.
 Translation of working documents.
 Working with the WordPress admin panel
Position: Data Software Engineer
Category: Data Engineer
Experience: 1 years | English: intermediate


- Basic experience with PySpark, Azure Databricks, Azure Data Factory;
- Good understanding of Python, TSQL programming language
- Good understanding of SQL, Git, OOP, DWH, Data modeling principles
- Highly responsible and reliable team player
- A fast learner with analytical thinking and good communication skills