lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: pre

TOP-2 NBU IT challenge, TOP-4 fraud detection, TOP-7 Yandex.realty;
1st place of coursework in BIG DATA SCHOOL 5.0 BY KYIVSTAR (Big Data, Microsoft Azure, Machine Learning, Deep Learning)
TOP-2 NBU IT CHALLENGE. Task: exchange rate forecast based on time series.
TOP-4 FRAUD DETECTION. Task: detect clients involved infraud in electricity consumption.
TOP-7 YANDEX.REALTY. Task: predicts the duration of theexposure of advert for the sale of a flat.
TOP-10 SWEET.TV. Task: predict user's TV programpreferences.
TOP-16 SIBUR CHALLENGE. Task: predict if names belong tothe same company.
TOP-5% TWEET SENTIMENT. Task: Extract support phrases forsentiment labels.

COVID SIMULATION WITH MONTE CARLO. Task: create a model of virusspread among people indoors.
PROHACK HACKATHON BY MCKINSEY&COMPANY. Task: well-being level prediction based on tabular data.
BIGTARGET HACKATHON BY LENTA. Task: create a model that improves the effectiveness of SMS targeting to increase sales. Extra task: search for solutions to increase sales for specific customer segments.

My current expertise includes but is not limited to:

* Time series analysis
* Tabular data (classification, regression)
* Natural language processing (text classification, question answering)

Kaggle Expert
Position: Data Scientist
Category: SQL
Experience: 1 years | English: intermediate

SQL: Proficient in writing and optimizing SQL queries, managing relational databases, and ensuring data integrity.
HTML: Knowledgeable in creating well-structured and semantically correct HTML markup.
CSS: Skilled in building responsive and visually appealing web interfaces using CSS.
Postman: Experienced in testing and debugging APIs using Postman.
Topics of course I graduated: 
SQL, Unix, HTML & CSS, Web Services (API). Test plan creation, Test coverage, Test cases, bug-reporting and a other close topics.
Highly motivated and eager to learn junior software developer with proficiency in SQL, JS, HTML, CSS, and Postman. Possess a strong foundation in web development and a passion for delivering high-quality solutions. Seeking an junior position to apply my skills and contribute to the success of a dynamic team.
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: upper

Project: I am Developer and Author of interaction system between Ground system (Kratos: Epoch) and Flight Dynamics system (GMV: FocusGeo) . Just want to inform that these two systems provided by different Company(GMV and Kratos). 
This project has reduced the dependence of my existing company on foreign companies and brought many benefits to the company.

I can achieve any goals I set.
Designed and implemented the processing of a large array of heterogeneous data. I learn new things quickly.
-To process, clean, and validate the integrity of data.
-To perform Exploratory Data Analysis on large datasets. 
-To perform statistical analysis using ML algorithms like logistic regression, KNN, Random Forest, Decision Trees, etc.
-To write code for automation and build resourceful ML libraries. 
-To glean business insights using ML tools and algorithms.
-To identify new trends in data for making business predictions.
It is important for me to be able to contribute to the company and improve myself by gaining new skills and experiences.
I am looking for an opportunity to use my experience  to grow professionally and personally.
Also, I want to work on different types of projects with different teams.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Trained transformer from scratch for corporate language dataset.
Defect detection for tires production.
Recommendation system for hospital recommendations.
........................................................
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Trainee Data Scientist (NLP) at Infopulse.
Stack: Python, numpy, pandas, matplotlib, PyTorch, Transformers, doccano

In FIdo.ai we have created a dataset of Ukrainian language for different NLP tasks (question answering, neural entity recognition, part of speech tagging) and are developing the model for those tasks.
Stack: Python, numpy, pandas, matplotlib, scikit-learn, PyTorch

Created a couple of Telegram bots for quests and 1 bot for Kyiv-Mohyla Business School.
Stack: Python, numpy, pandas, flask, PyTelegramBotAPI.

Research experience: currently working on a paper on graph theory (Watchman's Walk on directed graphs).
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Have extensive experience in different algorithmic competitions, including international level.
Participated in the development, as well as in teaching the program of the course on algorithms for second-year students
Two years of experience in Data Science

- Worked on an OCR project for Prague National University and Ukrainian Catholic University
End-to-End weakly supervised neural network for transformed text localization and recognition.
My task was to train real-time models for working with the Ukrainian language.

- Student writing text evaluation
Designed and developed the pipeline for long text segmentation using transformers models.
My task was to work with text segmentation on large texts using Transformers models.

-Video search engine - web application for keyword video search
Implemented pipeline, which includes ASR and OCR models for audio and image data stream processing.

My task was to develop a fast and efficient search for user-specified keywords on large videos using audio and video data formats.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

- participated and won students Hackathon in TechStudents field (creating a non-commercial solution for startups)
- team projects in the field of AI in student's club (classification & regression problems)
- creating my own ML projects (classification & regression problems)
- Bachelor Degree in Psychology (Educational Psychology)
- 3rd year of study in Psychology and Informatics (Psychology of AI)
- 3 years of experience in Event Management (assistant)
- uni experience working with data (data pipelines, EDA, Data Cleaning) analysis and building ML models for different problems using Python and libraries such as scikit-learn, TensorFlow, matplotlib, numpy, seaborn, pandas and more
- experience in uni projects in the field of Machine Learning, AI Ethics, NLP, Computer Vision (opencv library)
- uni experience with statistical analysis in Python
- deep passion about implementing AI technologies & robotics in everyday lifetime cycle
- experience in uni projects in the field of Project Management (Scrum and Agile)
- uni experience in SQL and Azure technologies 
- experience in Back-end using Python and Django (<1 year)
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate


University Project
Website for enrolling students in additional courses
•	create and migrate database
•	create project in MVC pattern


Pet-Project
Blog, where people can post and read articles
•	create database on SQLite (with different relation)
•	create site with MVC pattern
•	add admin and user role
•	write integration test
•	deploy on Heroku
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Used Python and TensorFlow to create an algorithm for diabetes probability
prediction using data from the NHIS dataset.
Used Python and TensorFlow to create an algorithm for diabetes probability
prediction using timeseries data.
Used GPT-2 to create a chatbot for support.
Used Python and Xgboost library to create a strategy optimization algorithm
for black-box algorithms.
Interesting tasks. Professional grows. Flexible hours
Challenging tasks and good culture in a team are preferable.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Use of ML techniques for networking and cybersecurity research. I use Python with other tools like Jupyter, Numpy, pandas, matplotlib, postgres, etc. I can be timely with my work and will always meet deadlines.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


Using ML algorithms and statistical models for solving different tasks, such as: building optimisation models to find optimal shares of brands; using Apriori algorithms to build consumer baskets; using hierarchical clustering to make different formats for shops based on fixet set if parameters.
Building monthly sales forecast using ARIMA, Holt-Winters and Prophet.  Building daily forecasts using linear regression.
The best thing in any job - people you are working with, so that you can share your experience, knowledge and ideas, develop your skills and make an outstanding product.
Position: Data Scientist
Category: QA
Experience: 0.5 years | English: intermediate


Utilized analytical, statistical and programming skills to collect, analyze, interpert and visualize data sets (NumPy, Pandas, Matplotlib, Seaborn ...)
Developed machine learning models using Scikit-learn (LightGBM, Logistic regression, Random Forest ...) for classification and regression tasks.
Applied transfer learning techniques using PyToch to adapt pre-trained model to specific tasks.
To have a job that provides a steady employment. 
To have the chance to advance in the company.
Position: Data Scientist
Category: Data Analyst
Experience: 0 years | English: upper

18 years of expirience of medcine i govermental clinics.
13 year experience of paediatric anaesthesiology and paediatric ICU in specialized cardiac surgery hospital.
Positive expirience of work emigration to Czech Republic.
Highly motivated in education and self development.
Variety of methods for medical data processing.
I'm looking for first job in this field.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


Versatile Data Scientist with experience interpreting and analyzing data. Excellent understanding and proficiency of platforms for effective data analyses, including SQL, Sheets and Excel, Tableau, and R. Strong communication, organizational, and analytical skills. Fluent in English.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


Versatile skills along with 3.5 years professional experience in Business Development as well as having a successful past performance as an ERP Project Manager writing algorithms & test scenarios, managing the coders & processes and training end users.

Leading departments on the way of sales while holding a healthy communication with customer. Deep knowledge in costing and pricing beyond being only a salesperson. Taking initiatives when it comes to urgent incidents.

System approach and seeing the big picture whilst handling any problem besides of a perfectionist perspective. Understanding others' feelings as an intuitive & observer individual. A quick learner and Data Science enthusiast. Academic experience with R. Would love to use any statistical programming language such as R, Python in any field I will be working in.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Participated in Kaggle-competitions, i take different Machine Learning and Data Science courses, in free time I work on pet-projects for my portfolio (Github - AlexTsikhun). I read and watch a lot of interesting information about AI for self improvement.
Want work with data in Python. I am interested in all Data Science projects, but the most exiting is Computer Vision tasks. I had 1 CV project (ship segmentation) and couple tasks with row data (regression and classification). Also I had couple programing projects from university
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

• 2016 - Bronze medal, 10th place out of 205, XXIV All-CIS Team Olympiad in Programming
• 2016 - 1st place among school league, International Collegiate Programming Contest
• 2016 - Silver medal, All-Ukrainian Winter Cup Olympiad
• 2016 - Bronze medal, All-Ukrainian School Olympiad in Informatics (UOI)
• Was responsible for building NLP model to do classification of forum comments with accuracy above 96%
• Built automation tools for monitoring and measuring advertisements quality
• Text detection using TensorFlow. Integration with android devices
• Worked on a scraping application to extract the information from the sites
• Maintenance of existing model for sales forecasting:
- improved regularisation
- redeploy
- automatization of data cleaning - overall error -21%
• A/B testing of website UI changes
• Developed complex and highly responsive apps with Java and Kotlin • Communicated with clients
• Participated in code reviews and Scrum activities
• Developed Android applications for cryptocurrencies: Paytomat, EOS Wallet, ABBC Wallet
• Worked with at least 15 cryptocurrencies
* NLP problems
* CV problems
* working with time series
* any other interesting things)
do not consider:
* Data Analyst
* Data Engineer
* SQL Engineer
* Python developer
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


What I did before:
• Prepare raw data for further transformation.
• Solving data preprocessing problems - cleaning, transforming, creating new features.
• Data Visualization.
• Clusterization for exploring telecom customers activity in Lviv during Covid-19.
• PyTorch for CNN model for the image classification.
• PySprak for Transport Mode Multi-Classification problem.
Most of all I am exciting to work for Robotics, Geo, Agriculture, Forestry, Oil & Gas, Minerals fields, solutions in image processing and analysis. 

I am ready for hard working and quick learning as I passionate about these fields.
Position: Data Scientist
Category: PHP
Experience: 7 years | English: fluent

- switched my job from WordPress development to Data engineering after a week of intensive study and a test task - this shows I'm able to learn fast and apply knowledge in the most effective way
What I’m good at:
- creating web tools to view/analyse aggregated data
- creating complex queries to aggregate the useful data
- applying Python to transform raw data into something useful or create ETL pipelines
- applying my vast experience to solve problems (any kind of problems really, which makes me a jack of all trades)

What I'm also good at:
- creating WordPress custom themes/plugins
- working with most popular plugins as ACF/Polylang/WPML/etc
- working with WooCommerce
- using REST API
- ... basically anything related to WordPress

My experience:
- 6 years of WordPress development
- 1.5 years of Data Engineering

What I studied:

- 2 years of Program Engineering in Zaporizhzhya State Engineering Academy
- 3 years of Program Engineering in Zaporizhzhya National Technical University
- completed Michigan Univercity "Python for Data Analysis" intro course
- helped my wife through Oksana Nosenko "SQL for analytics" course
- going through Frank Kane's "Data Science and Machine Learning with Python – Hands-On!" course

My skills:

- Python
- SQL
- pandas
- Jupyther Notebook
- numpy
- Spreadsheets
- WordPress
- PHP
- JS/jQuery
- CSS/SASS/LESS

My dream job:
- agile processes
- having a mentor/team
- zero bureaucracy
- professional management
- flexible work hours
- I want to work in a team. Somehow I mostly worked solo through all my career - need humans.
- I would love to solve challenging tasks that push me beyond my limits.
- I'm a fan of relaxed work environment: fluid working hours, measure productivity by results provided.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


While working at Servicetitan I did the following 
Developed and implemented NLP and ML models, including transformers such as BERT, to classify, cluster, and predict customer interaction metrics, resulting in improved accuracy and efficiency in customer engagement.
 I have trained models from scratch to predict the NPS scores from each client and the CSAT scores from each employee of the client to predict.
 I have also developed a clustering of the customers to identify the customers who are taking too much support resources from my company to reduce the support burden. Based on that model I have created a dashboard which is being used by the Customer Success team to be proactive with the customers. Overall the company started to get less support tickets and continuously saves 10s of thousands of dollars per month.
 I have created a Top Detection dashboard for the Customer Support Leadership team to identify the most common topic per component of the product and analyze its trends by QoQ. The dashboard is being used by team of analysts to identify the product pain points faced by the customers
 Led the development of interactive dashboards in Tableau and other tools to share insights with stakeholders and enable data-driven decision making.
 Designed and created a SQL code parser app with streamlit, which was instrumental in facilitating the team's migration from Redshift to Snowflake, resulting in improved data processing and analysis capabilities.
 Conducted extensive research and testing of hypotheses related to product pain points, resulting in the identification of areas for improvement and cost reduction.
 Spearheaded the use of aggregated tables and optimization techniques, such as stored procedures, airflow dags, and temporary tables, resulting in faster query times and more efficient use of SQL querying across the company.
Position: Data Scientist
Category: Python
Experience: 2 years | English: fluent


While working in a robotics startup as a computer vision engineer for 2 years, I've developed asparagus spear presence detection and localisation. I've been working with pytorch, pandas, numpy and scikit learn for neural network training, tensorrt for neural network inferencing on Jetson nano
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

SKILLS

Programming:
Python

Data analysis:
Pandas
NumPy

Data Visualization:
Matplotlib
Seaborn
Plotly

Machine Learning:
Scikit-learn
PyTorch
TensorFlow
OpenCV

Database management:
MySQL

Code management tools:
Git

Virtual Research Environment:
Jupyter Notebook
Google Colab
Anaconda Navigator

Editing and review
Corporate Communications
Content Generation
Who I am?
I am a highly motivated junior data scientist, who wants 
to take his skills to the next level.

I have successfully completed the course ‘Data Scientist’ from Study Space Academy.

I have learned how to use Python, Jupyter Notebook, and Google Colab for data analysis and data visualization. Throughout the course, I obtained a comprehensive understanding of various data science algorithms, required libraries for data analysis, such as Numpy, Pandas, Matplotlib and Seaborn, Plotly and Sweetviz, OpenCV, Scikit-learn, and others.
Under this course, I developed practical skills and hands-on experience in working with real-world datasets.

This knowledge helped me to cope with my project: 
'USA Real Estate Price Prediction'.

Carrying out this project, I gained a unique experience in creating effective price forecasts and their visualization.

Pet-project:
1. 'Prediction of Breast Cancer Diagnosis: benign or malignant'.

Now I am seeking a job where I would have the opportunity to implement my new data science skills for working on challenging projects.

My data science knowledge:
•	analyze and interpret complex data sets using Python;
•	experience in data machine learning, and statistical analysis;
•	develop predictive models utilizing machine learning algorithms;
•	develop and execute data-driven experiments to test hypotheses;
•	collaborate with cross-functional teams to develop data-driven solutions;
•	present data analysis findings to stakeholders in a clear and concise manner;
•	improving data science techniques through research and development.
Position: Data Scientist
Category: Data Science
Experience: 6 years | English: upper

Throughout my career, I've achieved significant milestones in the realm of Data Science, Machine Learning, and Business Intelligence. Here are some key accomplishments that highlight my impact:

Predictive Modeling Excellence: Developed and deployed advanced predictive models using Python and R, resulting in a 15% increase in forecast accuracy. These models enabled proactive decision-making and optimized resource allocation.

Visualizations for Strategic Insights: Utilized Power BI and Tableau to create visually compelling dashboards that transformed complex data into actionable insights. This led to improved executive understanding and informed strategic choices, contributing to a 20% reduction in operational costs.

Cloud Migration Leadership: Led the successful migration of data processes to a cloud platform, enhancing scalability and reducing infrastructure costs by 30%. This transition streamlined data access across teams, improving collaboration and data-driven decision-making.

Cross-Functional Collaboration: Collaborated closely with cross-functional teams to align data initiatives with business goals. Through effective communication and data-driven insights, we achieved a 25% increase in customer satisfaction by tailoring offerings to customer preferences.

Project Leadership and Mentoring: Spearheaded end-to-end data science projects, mentoring junior team members throughout the process. This resulted in a cohesive team environment and the successful delivery of projects on time and within scope.

Industry Thought Leadership: Presented workshops and knowledge-sharing sessions on emerging data science techniques and tools. These sessions equipped colleagues with new skills, fostering a culture of continuous learning and innovation.

These accomplishments underscore my ability to drive impactful outcomes through data-driven strategies, collaborative efforts, and technical expertise. As I look to the future, I am excited to continue achieving new milestones and contributing to the success of forward-thinking organizations.
With 6 years of experience in Data Science, Machine Learning, and BI, I've spent the past 2 years as a Mid Level Data Scientist at my current company. Proficient in Python, R, SQL, Power BI, Tableau, and cloud technologies, I've delivered actionable insights through advanced ML models, data visualizations, and cloud-based solutions. Collaborating with cross-functional teams, I've contributed to data-driven strategies, mentored juniors, and played a key role in projects from end to end.
With 6 years in Data Science, Machine Learning, and Business Intelligence, including 2 years as a Mid Level Data Scientist, I'm skilled in Python, R, SQL, Power BI, Tableau, and cloud tech. I'm seeking a collaborative company to apply my expertise, innovate with data-driven insights, and contribute to impactful projects. Eager to mentor, learn, and drive results at appropriate company.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Good level of statistics, high level of mathematics and ability with machine learning models. Variety of machine learning models, clustering models usage.
With a background in the IT sector, I bring valuable work experience in Finance, Economics, and empirical projects, showcasing a diverse skill set and a comprehensive understanding of multiple fields.
Data Scientist job which heavily based on Machine Learning models. Deep Learning models also could be applicable. Python  is preferred language of use for me.