lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

increased the accuracy of delivery/return date prediction
developed automated ML workflow for continuous learning of models
achieved 10% improvement accuracy of the population projections, with a new model based on assessments
automated and developed Humanitarian reports, resulting in a 30% decrease in working time
established new price management system to improve the prediction accuracy of revenue, resulting in a 10% increase of accuracy
achieved 15% improvement in accuracy of a monthly forecast of SKU shipments with a new process that pinpointed shipping patterns in customer’s orders
manipulating, cleansing & processing data (R, Python, and SQL)
development and exposing ML models (H2O, OpenCPU, Plumber, Docker, Azure ML)
design and development of ML/ETL workflow (Airflow, Jenkins)
design and implementation BI reports (Shiny, Power BI)
development data analytical databases from complex marketing source data (SQLite, MS SQL Server)
development and implementation of the automated business management system and accounting software
Interesting tasks and projects.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

I have working experience in UAE with an unusual subject area - Warfare Operations.

I created the YouTube channel and making educational content there: Dmitry Stopkevich
March 2020 – Now
I’m holding a position in Al Hakeem Aviation Consultancy in Abu Dhabi as a Full Stack .NET Developer and tactical/strategic simulation scenarios developer. I work with Tawazun and different government structures. I developed complex Tactical Decision Support Software with calculation, AI and UI visualization modules. I participated in command and control systems development. Also, developed the viewing applications for IDEX and NAVDEX 2021 in UAE for Tawazun pavilion. I’m also developing tactical and strategic operation scenarios using MAK VR Forces and AGI STK. At this job I’ve got rich experience in warfare operation simulations, tactics, munitions, radar jamming countermeasures etc. I’ve passed certification of AGI STK master operator and MAK VR FORCES scenario and model developer.

March 2018 – March 2020
Held a position of full stack .NET Developer in Ciklum. I was working in RegData team. We were creating the anonymizing systems. Web applications using Vue.js framework and .NET Core REST API. Web applications using Asp.net MVC + WCF with SSL communication. API REST, unit tests, integration tests, statistics collection, dynamic performance diagrams, stress tests, porting algorithms from Java to C#, creating architecture diagrams, writing documentation. Time to time I was leading the meetings (Sprint planning, Sprint closing, Daily meetings). At this job I’ve prepared and passed the Microsoft 70-483 exam and got the certificate.

September 2016 – March 2018
Held the position of .NET Developer in MSP Ukraine:
I created web applications for corporate work control such as User Management Application, Legal work corporate cases application, application for employees work time control and much more. One of interesting projects is the application for creating agreements. It gives ability to manage information about agreements, firms and natural persons and generate word documents based on this info.

July - August 2016
Held the position of Junior .NET Developer in company Mocoding:
I created demo applications and ASP.NET Core .NET Core Console Application for Mocoding library "Easy-Doc-Db", wrote ReadMe for it, as well as formed NuGet packages for Easy-Doc-Db library and serializers for it.

Trainee in "Sigma Software" company: July 2014, July 2015
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Google Analytics (IQ certified)
Master degree in System Analysis and Control.
Google Analytics Individual Qualification Certified.

Skills:
- Data Science: Excel (professional), Matlab (beginner).
- Programming Languages: VBA, Delphi.
- Web Tools: Google Analytics, Google Tag Manager, Search Console, Яндекс Метрика, Яндекс Вебмастер.

Work Expirience:
- Planning Specialist from July 2013 to May 2016.
- Web Analyst from May 2016.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

2nd place, Contest of Junior Academy of Science (Theoretical Physics), 2018-2019, National (Final)
3rd place of the Olympiad in Physics, 2020-2021, National (Final)
2nd place, 4th World Young Inventors Exhibition 2020, Malaysia
Winner of various national and regional Math and Physics contests, olympiads, etc.
Mathematics and Physics teacher, Rozumschool, Kyiv
September 2021 — February 2022
Workes there as a mentor, helping students solve some tasks in preparing for exams, another task was 
to check their homework. Also worked as a senior mentor, my job was to monitor the quality of the mentor 
department using Excel and then contact other mentors to inform them of any common mistakes.

Mathematics and Physics teacher, Self-employed
April 2022 - now
Part-time job, succesfully preparing high school students for their final exams. Improving my soft skills, learning how to work with clients.
I'm looking for a possibility to gain an experience in Data Science. I expect to do some deep research since I am good at math and statistics, and familiar with various models such as neural networks, SVM, random forests, etc. I'm looking forward to using them for practical purposes.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


MAY 2022 – PRESENT
DATA SCIENTIST, QUANTUM

- Developing and maintaining software written in Python
- Training, optimizing models
- Building Predictive models based on data (AutoML, ML).
- Worked on: analyse data in order to target business goals, time series analysis and forecasting.

JUNE 2020 – MAY 2022
DATA SCIENTIST

- Developing and maintaining software written in Python
- Optimizing and deploying neural networks 
- Implementing SOTA neural network solutions in the NLP field
- Successfully delivered projects: job matching platform, lead generation engine, text generation for the compliments, text generation for products description.

MARCH 2019 – MAY 2020
SOFTWARE DEVELOPER

-Developing internal tools for administration; 
-Introducing Django for a dashboard web app; 
-Web scraping and information extraction from social media;
-Analyzing payback of contextual advertising and traffic buying;
-Preparing reports about customers’ activity.
-Developing and maintaining software written in Python
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Medicine project. Building forecasting model according to patient's medical history (recommendation systems, association rules, neural networks (LSTM)).
Finance project. Clustering traders and deals (K-Means, Spectral clustering, Hierarchical clustering, DBSCAN, graph clustering) and trader strategies modeling.
YELP restaurant photo classification (Kaggle competition). Transfer learning, XGBoost, AWS for computations.
Betting project. Analysis of online betting domain (horses), strategies modeling.
Agriculture project. Creating BI-system with Tableau.
Urban project. Analysis of citizens mobility based on telecom data.
Document classification project. Labeling legal texts' parts with some hierarchy level according to visual structure. Feature engineering, clustering, creating specialized algorithms for text cleaning, cascade of models.
Computer vision project. Face recognition, emotions, gender and age recognition with neural networks, PostgreSQL.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper

• VILNIUS TECH - Vilnius Gediminas Technical University (Erasmus+)
• European Solidarity Corps / Volunteering: Creativity and culture, Environment and natural protection
• AWS AI (Artificial Intelligence) & ML Scholarship rogram
• Data Analytics virtual experience program
• Winner of the "SABAH" grant given by the Republic of Azerbaijan
Middle Data Scientist, Jun 2021 - Jul 2023
Gamboo remote, Estonia 
Initiated as a Junior Data Scientist, demonstrating expertise in advanced querying, data visualization, and 
analytics tools for handling complex data sets.
Designed and executed models, algorithms, and visualizations, successfully distilling actionable insights from 
vast, intricate data volumes while building collection, analysis, and reporting frameworks from scratch and 
devising techniques for maximizing system usefulness. These optimizations reduced data analysis time by 20%.
Facilitated the transition to a Middle Data Scientist role by consistently delivering high-quality work, tackling 
increasingly complex challenges, and demonstrating a deep understanding of statistical analysis and predictive 
data modeling.
Developed predictive models using machine learning algorithms, statistical analysis methods, and advanced 
algorithms based on deep-dive statistical analysis and predictive data modeling.


Data Analyst, Dec 2019 - May 2021
Datacity, Azerbaijan 
Produced monthly reports using advanced Excel spreadsheet functions.
Created various Excel documents to assist with pulling metrics data and presenting information to stakeholders 
for concise explanations of the best placement for needed resources.
Develop and implement databases, data collection systems, data analytics, and other strategies that optimize statistical efficiency and quality. Enhanced data quality by 15%.
Created or reviewed technical design documentation to drive the accuracy of reporting solutions.


Automation Engineer Intern, Aug 2019 - Dec 2019
Socar, Azerbaijan 
Generated process models illustrating automation engineering progress, specifications, and details.
Trained developers and quality assurance team members in automation programs.
Optimized implementation strategies by conducting thorough needs and gaps analysis processes in advance of changes.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Coursera Neural Networks and Machine Learning courses
English Certificate EF SET Sertificate
Certificate of the digital education level
“Mindy Teams”, Kyiv – customer support agent 
	- While working I was learned to work in a big team, thinking not only about my own goals. I have been improving my both verbal and writing communication skills in three different languages. I was interacting with the CRM system, databases and Jira.
I’m a student of the bachelor degree on the economic cybernetics specialization and currently seeking for an opportunity to start my IT-career in a field I’m really interested in. 
I’m so passionate about data and forms of working with it. And I really love orderliness.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


ML/AI Engineer, 07/2020 to Current
Softesis
I had the opportunity to work extensively on AI tools for test automation, honing my skills in this specialized area. I developed and implemented production-level ML, NLP, and Computer Vision products, contributing to the advancement of automated testing processes. This involved leveraging cutting-edge technologies and algorithms to achieve efficient and accurate results.
One of the key aspects of my work involved data extraction, cleaning, analysis, and presentation of large datasets. I utilized my expertise in data mining techniques to uncover valuable insights from complex and diverse data sources. This allowed me to identify patterns, trends, and anomalies, enabling informed decision- making and driving improvements in testing methodologies.
Backend Developer/Project Manager, 09/2020 to 04/2022
Quality Team
Development, management, maintenance, testing, and debugging the back end of large Web applications. The core application logic, databases, data and application integration, API, and etc.
I participated in the next projects:
Family Management Insurance - Back End Developer, Project Manager. Ordering, selling management system - Back End Developer, Project Manager. Jewelry shop - Project Manager.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


ML ENGINEER, SQURO
NOVEMBER 2022 – PRESENT

- Training and optimizing models;
- Building models based on data;
- Successfully delivered projects: text generation for products description, text -generation for expanding the client base
- Developing and maintaining software written in Python;

DATA SCIENTIST, CODEIT
JUNE 2021 – OCTOBER 2022

- Optimizing and deploying neural networks;
- Implementing SOTA neural network solutions in the NLP field;
- Successfully delivered projects: customer acquisition system, platform for matching jobs
- Developing and maintaining software written in Python;

SOFTWARE DEVELOPER, DEVITEAM
MARCH 2020 – MAY 2021

- Web scraping and information extraction from social media;
- Developing internal tools for administration;
- Preparing reports about customers’ activity;
- Developing and maintaining software written in Python.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent

Successfully deployed DS/ML models
Modeling (supervised, unsupervised), visualization (dashboards)
Mainly used Python, R,C++ but can use JS, Java 
Tools(Git, GitLab, Sonarqube, Docker, Jupyterlab, Anaconda,AWS)
AWS Machine Learning Speciality Certification Candidate
• Professional qualified Data Scientist with experience in Data Science and Analytics including Machine Learning, Data Mining and Statistical Analysis
• Involved in the entire data science project life cycle and actively involved in all the phases including data extraction, data cleaning, statistical modeling and data visualization with large data sets of structured and unstructured data
• Experienced with machine learning algorithm such as logistic regression, random forest, XGboost, KNN,
SVM, neural network, linear regression, lasso regression and k - means
• Implemented Bagging and Boosting to enhance the model performance
• Experience in Deep Learning(CNN, RNN, DNN) with an understanding of RNN, LSTM
• Proficiency in a Neural Network library TensorFlow, Keras
• Strong skills in statistical methodologies such as A/B test, experiment design, hypothesis test, ANOVA
• Extensively worked on Python 3.5/2.7 (Numpy, Pandas, Matplotlib, NLTK and Scikit-learn)
• Experience in implementing data analysis with various analytic tools, such as Anaconda 4.0Jupiter
Notebook 4.X,R 3.0(ggplot2, Caret, dplyr) and Excel 2010/2013
• Strong experience in Big Data technologies like Spark 1.6, Sparksql, pySpark, Hive 1.X, AWS(S3,
Redshift, EC2)
• Solid ability to write and optimize diverse SQL queries, working knowledge of RDBMS like SQL Server
2008
• Experience in visualization tools like, Tableau 9.X, 10.X for creating dashboards
• Excellent understanding Agile and Scrum development methodology
• Used the version control tools like Git 2.X
• Passionate about gleaning insightful information from massive data assets and developing a culture of
sound, data-driven decision making
• Ability to maintain a fun, casual, professional and productive team atmosphere
Don’t want to work on data validation part (specifically excel validation) but can work on data schemas
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


More than 10 years of experience in data analytics and ML.  
Expert in classical machine learning algorithms  (linear and nonlinear regression,  classification by tree-based method, SVM and discriminant analysis, unsupervised learning in particular cluster analysis and principal component analysis).
Solid experience in time series analysis and predictive analytics, feature engineering. 
Have an excellent understanding and intuition in processes of models outcomes interpretation. Strong analytical skills, good logical thinking, attention to detail, ability to find creative solutions for non-obvious problems. High mentoring skills.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: fluent


More that 6 year experience in Risk Management, Economics and Modeling
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Mostly I work with text and tabular data, thats why I often use NLP technologies for different tasks.
Also, this experience allows me to combine these approaches in different tasks to create new features.
My commercial projects:
Web-site classificator (multilabeling), Online-store detector, "Red-flag" sites, CTR Predictor, also I implement some ready solutions and made experiments with generative models as GPT, Reccomendation system for Online-store,  predictive model of user income (ngr) at the foreign iGaming project, tools for text using Transformers, forecasting approval, score, adaptive price etc. 
I used different technologies, for example Keras, Sklearn for building models (or implement other productive models such as LightGBM or Transformers). I also can make my own algorythms to solve difficult and non-standart problems. 

I`d like to continue my experience with text and tabular data or explore something new and interesting.
Position: Data Scientist
Category: Python
Experience: 0 years | English: upper

Try to regularly take part in various competitions and hackathons such as INT20H 2023, KPI Open, etc.
Mostly university tasks and small pet projects. Can navigate most of basic Python packages (requests, NumPy, SciPy, Pandas, Seaborn, matplotlib, etc). Can use Keras/TF. Have experience with using huggingface models. Have basic knowledge of AWS workflow (EC2, S3, DynamoDB). Know SQL syntax. On the side-note, have done Spring Web apps with SQL database integration with Java, so i accustomed to the concepts like REST architectures.
Expect interesting tasks preferably with a team and someone who could fulfill the mentor/coach role.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Bring project's results to the production. Archived top 50%(and better) on 2 Kaggle competitions and top 15% on 1 Kaggle competition. Done a lot of research on improving the market products.
Most of the time working on team projects. Achieved state-of-the-art results on most of the projects. Highly using Jupyter Notebooks (or IDE if it's needed or the project is big), writing Python for almost 6 years (but have some experience with C++, C#, Java, JavaScript, HTML/CSS), using modern libraries (TensorFlow, NumPy, SciPy, Pandas, Matplotlib, Keras, SciKit-Learn, PyTorch, Plotly, OpenCV, NLTK). Have experience writing scientific papers, and medium scientific articles. Currently working at MAWI Solutions.
I'm interested in bringing valuable products to the world. Trying new things, new approaches, new technics - finding a solution rather than copy-paste.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Motion detection and person recognition with dlib package for reducing memory and CPU usage. Develop whole pipeline of project: from motion detection to sending JSON Face Recognition Data to server. 

Develop server side and API with connecting database. Created microservices for sending and receiving data from server and ML results.

Worked in labarotory under supervision of Dr. Min-Ho Lee on Brain-Computer Interfaces. Published two scientific papers and successfully presented at ICONIP conference.

Keywords: Computer Vision, Machine Learning, Pipeline

Programming L. and Frameworks: Python, Golang, C/C++, JSON, Git, Database(SQLite), dlib, OpenCV
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Motivated and curious Data Scientist looking for an interesting project. Main specialty is computer
vision. In my free time I teach machine learning classes at the Kiev Polytechnic Institute. I write
scientific articles and manuals on Medium. Participant and finalist of Hackathons, both ordinary
participant and idea owner. Have experience in leading small teams.
Looking for a team in which I can gain commercial and correct experience in interesting and large projects.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: upper

- Reached 4x increase of conversion rate of the top 100 ranked users in buyers by implementing lead-to-customer and uplift scoring models
- Solely implemented the Elasticsearch (3 nodes docker-based cluster for 6 TB of text data) with pipelines setup
- Winner at All-Ukrainian Olympiad in Mathematics, Astronomy, Physics (school years)
- LeetCode 750+ days streak
Motivated problem solver with a passion for mastering a balance of hard and soft skills. 6 years of experience as a Data Scientist (2 years in a startup in the Social Networks domain). Has experience in delivering both solo full-cycle projects and collaborative results of cross-functional teams of different sizes. Willing to Data Architecture management. The analytical and detail-oriented specialist who ensures clear communications with engineers, PMs, and executives. Keen on Network Science.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

- R&D project on Reinforcement learning for deep neural-network accelerator hardware resources optimization with the top west laboratory (PyTorch, RL, genetic algorithms);
- Startup competitions, hackathons winner.
+ MSc in Artificial Intelligence
+ BSc in Computer Science (Internet of Things)

Computer vision engineer:
- Built detection/classification models, executed statistical data analysis.
- Constructed data pipelines, implemented backend for computer vision systems.
- Made mathematical investigation of the customer problems, researched scientific papers.
Technologies: Python, C++, OpenCV, data science libraries (NumPy, Pandas, …), GANs/AnyNet/ERFNet/etc.

Machine learning engineer:
- Expanded a logistic project with the process optimization and an object recognition part for improving AI-guided AGV & Tracking.
Technologies: Python, PyTorch, Raspberry Pі, RS-485, Docker

Python developer:
- Designed a data visualization system, rendering algorithms 
- Created a data flow infrastructure for the R&D IoT project.
Technologies: Python, Django, Flask, AWS (IoT Core, Lambda, DynamoDB), Terraform, LoRa, LoRaWAN

Data analyst:
- Worked on geospatial data acquisition, cleaning, and analysis.
- Improved product localization with the algorithms for geographic names normalization.
Technologies: Python, data science libraries (NumPy, Pandas, scikit-learn, …), maps, Excel
Interesting and challenging projects.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Kaggle competition, silver medal
M.Sc. in Mathematics
M.Sc in Economics

1. Kaggle, a silver medal for a computer vision competition.
2. Several projects where I analyzed tabular data
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

- Successfully held POCs that brought company three new customers.
- Developed modules for time series analysis for AI engine from scratch.
M.S. in Computer Science
1 year of working with time series and supervised and unsupervised learning at the position of Data Analyst and Data Engineer.
2+ years of software development experience.

Key skills and responsibilities:
- Data analysis, manipulation and aggregation as well as data visualization.
- Analyzing customers' data for specific patterns and trends.
- POC data analysis.
- Applying different models and prediction algorithms.
- Participating in the development of an AI engine.
- Creating articles and tutorials on useful DS tools and approaches.
 - Using both Python and R environment while working.
 - Developing web scrapers and performing sentiment analysis.
 - Using Linux environment.
My personal interest lies in the sphere of NLP -> ready to start at the lower position in this area.
I prefer a friendly team atmosphere with a strict division of responsibilities.
It will be good if your company is kinda entrenched (not a startup with some vague product concept).