lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Business Analyst
Experience: 1 years | English: intermediate

Certificates and undestanding theoryty. Used theority on the practice tasks.
Skills: Course IT-Ukrainian School. QA Manual: theority and practice. Used: Jira, Postman, Charles, Apache JMeter.
MySQL: theority and practice.
HTML: Elements and Structure, Tables, Form. 
          CSS: Selectors and Visual rules, the Box Model, Display and Positions, Colors, Typography, Grid.
         JavaScript: console(console.log()), Variables(var, const, let), Comments, Data Types, Methods, Built-in Objects, Conditionals, Functions, Scope, Arrays, Loops, Iterators, Objects, Classes, Modules.
        
Course English in the Sun Rise Club. Intermediate level.
grow with the team and bring benefits to the company. It is important for me to be helpful. Yes, I can say that the theory itself is not enough to be a cool and sought-after specialist, but with the help of practice and with a weeping team this is real. I am ready to work 24 hours a day to achieve good skills and success.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


Skills: 
•	Great understanding of machine learning algorithms (regression, classification, clustering);
•	Strong knowledge of calculus, linear algebra, statistics;
•	Experience with Python (Numpy, Pandas, Scikit-Learn, Scipy, Matplotlib, Seaborn, Keras), SQL, Power BI.
 
Experience:  
•	Performed data preprocessing;
•	Developed regression models using Numpy;
•	Implemented classification/clustering models using Scikit-Learn.
 •	Built SQL queries across multiple databases;
•	Visualized data using Matplotlib/Seaborn;
•	Created dashboards using Power BI.

Education:  
Igor Sikorsky Kyiv Polytechnic Institute, 2014-2020
M.Sc. in System Analysis
	 
Personal qualities:  
•	Interest in challenging tasks, initiative;
•	High learning ability and desire to self-development:
•	Ability to work in a team, sociability, curiosity;
•	Critical thinking.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

I have been studying computational linguistics at university for 5 years and have took part in several projects: Automatic Morphological Analysis of the English language, Automatic Morphemic Analysis of the Ukrainian language, Machine Translation (Ukrainian-English), Text-to-Speech System, Sentiment Analysis.

I took part in several hackathons, such as Smart techno, Media Hack Weekend, KPI Vision Hack.
I finished Stanford’s Open Course on Natural Language Processing (NLP) by Chris Manning and Dan Jurafsky and Machine Learning course by Stanford University (Andrew Ng).
This summer I attended Grammarly computational linguistics summer school.
Skills:
python
scikit-learn, numpy, pandas, NLTK, SpaCy, gensim
data visualization tools: matplotlib, plotly, django graphos
basic knowledge of SQL, HTML and CSS
NLP algorithms, machine learning techniques (Naive Bayes, SVM, Decision trees, Logistic Regression, K Nearest Neighbors, Kmeans)
databases: MongoDB
theoretical and practical knowledge of linguistics, including structural linguistics

Experience:
I have one year of experience at my startup, where I implemented Natural Language Processing algorithms, created databases and datasets, extracted entities from texts, made two systems: Text Summarization and Text Classification as well as Automated Morphological analysis for Ukrainian language

Also I have one year of experience working as data analyst/data scientist at Ocean.io, where I had to analyze, check and visualize data, that we had, mark up datasets, find similarity between different texts, create sentiment analysis tool (including multilingual)
I am looking for a job with interesting, challenging and complicated tasks mainly in the field of NLP. 
I want to be part of a team of experienced professionals of Data Science, where I can grow professionally, develop and improve my skills.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper


Skills: Statistical analysis (9 years), R (6 years), Machine learning (6 years), Shiny (4 years),  Python (3 years), SQL (3 years)

Experience (top-3 largest projects):
1) Predicting employee attrition (survival analysis + binary classification + testing various hypotheses). This DS project was the core of an HR application for a company with over 70,000 employees.
Algorithms: cox regression, random forest modification for survival analysis, and default ML algorithms (Catboost). Statistical tests: t-test, chi-square, Mann-Whitney, Kruskal Wallis. 
Creating ML pipeline with auto- collecting data / tuning model / training model every month based on Docker and publishing in Microsoft Azure. 
Creating API based on Azure Functions.
Creating dashboard based on Dash with the results of training and tuning models.

2) The prediction of labor protection's rules breakers (binary classification + testing various hypotheses). Algorithms: glm, catboost. Statistical tests: t-test, chi-square, Mann-Whitney, Kruskal Wallis, ANOVA. Creating a web-application via shiny, creating reports with data visualization in html via markdown. 

3. Energy cost prediction (regression). Algorithms: xgboost. Creating reports with data visualization in html via markdown. 

Education: PhD in Physical and Mathematical Sciences.
Interesting tasks, new experience, professional growth in ML/AI.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: pre


Skills:
 - strong mathematical background: Linear Algebra, Probability Theory, Statistics, Optimization.
 - proficient in machine learning frameworks: sklearn and keras.
 - machine learning: Linear Regression/Classification, LightGBM, FFN, CNN, Transformer

Projects on GitHub:
 - Salary prediction: ligtgbm model
 - Image Style Transfer: Adaptive Instance Normalization model
 - Image Caption: CNN + Transformer

Objective:
Seeking to further develop my expertise in machine learning, with a focus on Computer Vision. Also interested in exploring NLP applications.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

Take a part in Kaggle competitions ( with a team )
Smart Business, Kyiv
Data Science Intern
Learn basic Data Science skills from preparation and visualization data to building models

Pet projects
Optimizing the Multiple Traveling Salesman Problem
Classification human steps by their sounds
Modeling economics processes
Natural language processing
Building recommendation systems and price prediction models

Researcher
Strong theoretical knowledge of Probability and Statistics, Machine Learning
I am pretty flexible and I don't have special criteria for a company, but good managing in a team and cool environment ( for growth) is great.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: basic

Organized an internal event for 20 people
Helped others achieve their results: colleagues (taught to work with children, help them learn, and not do tasks for them), children (pass an exam with 180-200 points out of 200, enter higher educational institutions)
Social network "PhotoShare" with the possibility of sharing photos, commenting, tags, including user registration

Contact book, adding a contact (name, phone number, email, notes), birthday reminder 5 days in advance

API integration module for contact book
Junior software developer with solid understanding of the software development process and basic knowledge of Python programming. Familiarity with OOP, web development using Django and Flask, and databases (SQL and NoSQL). Eager to learn, detail-oriented, and collaborative team member. Excited to contribute to your team's success!
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: basic

So far I don't have.
All the achievements that I currently have are published on my repository in github and github, links to them can be found in my profile on linkedin
So far I don't have.
The work projects that I now have are only those that I did in the course of studying at the IT courses. You can see them on my github and gitlab pages, as well as in my resume.!)
I want more that my work would be related to data science
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

• have experience with deep learning and Machine learning algorithms in pet projects. 
• worked with Mobile net V2/V3, Convolutional Networks, Autoencoder, some experience with NLP
Software Engineer
GlobalLogic, Kharkiv, Ukraine (2021 - Present)
Responsibilities:
• software unit verification in accordance to V-model of software life cycle process for medical devices (IEC 62304, IEC 61508);
• testing of the control system of a surgical robot in Simulink (Test Harness, Test manager);
• unit tests development with usage of coverage metrics (C, D, MCDC);
• acting as a teammate in scrum-team;
• participation in a Scrum team;
• requirements and design documents studying for tests development;
• use of Matlab scripts for tests development automation;
• use Docker for tests development procedure;

Modeling and Simulation Engineer
PJSC “FED”, Kharkiv, Ukrain (2018 - 2021)
Responsibilities
• СFD and FEM analysis for various hydraulic systems and vane machines
• processing experimental data with Matlab and Python tools
• development of static models of components and units of aircraft gas turbine engines
• analysis in frequency domain (FFT) of test results and comparison with simulation results using Matlab and Python tools
• search for causes of malfunctions in products and development of recommendations for their elimination
• development of the preliminary design of the unit at the RFI phase

Manual QA Engineer/ Stress Engineer
“SoftinWay”, Kharkiv, Ukrain (2016 – 2018)
Responsibilities
• Rotor Dynamics and Bearings software testing
• tutorials development for software learning
• verification of models and approaches of Rotor Dynamics and Bearings calculations
• verification of computational models based on experimental data
Work with AI and ML models. Researching work.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


Software Engineer with 7 years of experience in IT and strong mathematical skills (Ph.D.)
Proficient in Mathematics, Statistics, Computational geometry
Strong experience with tools of Data visualization & Business intelligence
Wide practical experience in Data mining, Exploratory data analysis, and Machine learning
Skilled in Reinforcement learning, Image processing, Face & emotion detection 
Scientific research activity
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


Solving data preprocessing problems & Feature engineering stages
Using Data Clustering Algorithms to explore telecom customers activity during Covid-19 pandemic
Using PyTorch & Keras to built custom CNN model on image classification problem
Solving NLP text classification problem in PyTorch using LSTM
Solving Transport Mode Classification problem using PySprak and raw IoT dataset
Providing weekly updates on digital marketing campaigns to clients, discussing strategic initiatives and methods for improvement
Evaluating monthly performance statistics and using data to inform future strategies.
Position: Data Scientist
Category: Python
Experience: 0 years | English: upper

Most of my achievements so far are in programming self-education area. I have some theoretical skills and looking for the opportunity to use them in a real-life projects.
Some noncommercial projects. I'm doing a lot of courses recently, all of them are related with Data Science, strictly Python, in a lesser scale - SQL, GIT, Statistics.
I'm looking for first commercial experience in Work with Python and SQL. I'm really open to new knowledge in mentioned above and close to  those areas.
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: fluent

Experienced in collecting geographical data, mapping projections, and web mapping
• Experienced in maintaining and utilizing geodatabase information and creating maps.
• Proficiency with advanced GIS suite of tools and geodatabase management systems
• Strong mathematical, statistical, and analytical skills.
• Ability to perform spatial analysis through basic SQL and spatial queries.
• Planning, quality assurance/control of GIS database conversion processes.
• Testing GIS data, solutions, and applications for units, systems, and user acceptance.
• GIS Algorithms and modeling (python and Linux),
• Built Web applications using Python, Django, JavaScript, HTML, CSS, and template languages.
• Used Apache to deploy production site, Strong experience using Web Services and API in python.
• Experience in using Design Patterns such as MVC and frameworks such as Django.
• Proficient in SQL databases MySQL, PostgreSQL, Oracle, and MongoDB.
• Experience in Application Development and Object-Oriented Programming Analysis and Design (OOAD).
• Experience object-oriented programming (OOP) concepts using Python.
• Experience with Requests, NumPy, SciPy, Matplotlib, and Pandas python libraries.
• Ability to analyse & transform business requirement into solution components.
• Android application development using MIT.
Spatial data analysis using python and R, I'm a now an expert in GIS data analysis I wish to further my expertise in Geostatistics
to work remotely ,deal with spatial data
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

I have a master's degree in Economic Cybernetics. Also I have profile certificates on Coursera. Ready to apply the knowledge gained at the University in practice.
SQL, R, MS Office, KNIME, Power BI, Python.

Data analyst at TK Laser:
As a skilled data analyst with experience in Google Analytics, Google Sheets, and Python coding in Colaboratory, I offer a unique combination of technical and analytical expertise. I have a proven track record of using Google Analytics to extract insights and improve website performance. Additionally, I have experience using Google Sheets for data analysis and manipulation, as well as Python coding in Colaboratory to automate repetitive tasks and build data pipelines. I possess strong problem-solving and communication skills, and am dedicated to delivering high-quality results on time. I am confident that my technical abilities and analytical mindset make me a valuable asset to any team

Data analyst at ROZETKA:
The main tasks were importing, validating, cleaning, transforming, validating, modeling or interpreting data collections in relation to the company's business objectives. Used different algorithms and IT tools depending on the situation and current data. The main program was KNIME and Excel.

Foreign Economic Activity Manager at Complexlisopererobka LTD

Practice at Raiffeisen Bank Aval.
I am looking for office or remote work. These are mainly Data Science, Data Analytics, Business Analytics.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

Effective prediction models (mostly using logistic regression) build for major Ukrainian bank.
SQL, R, Python
Possibilities for personal development and sharpening skills in ML and AI.
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: intermediate

Building, testing and implementation of different models (propensity, response, attraction).Scoring.
SQL(Sybase,oracle,PostgreSQL),Python(scikit-learn, Anaconda, xgboost,lightgbm, ),Linux,Windows,
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

Became team lead data scientist at 22
Starting from May 2020 working at VEON Sky Mobile(Beeline Kyrgyzstan) company.  Now working as a Team lead Data Scietist with 2 other data scientists in a team
Projects:
Credit scoring models for different financial organizations
Models for customer value management department:
- churn prediction
- recharge prediction(whether users will recharge or not their price plans)
- core breakers prediction(predict users who will break price plan)
- optimal call time 
Income model, gender model
Created heatmap with divided into square grids and shows parameters using base stations parameter values
Created users interests model using web data of users, which helped to increase performance of existing models(used nlp to categorize websites data)
Created automated parser to get contacts of any financial organization(usable for any websites)

Planning to start learning: deep learning, computer vision, neural networks
-
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


StartUp Help

Project description
The aim of the project was to build the bot which will predict if startup will receive
investments based on information about that startup.

My main responsibilities were:
1. Processed data from database.
2. Developed prediction model.
3. Analyzed model results.

Tools and technologies I used:
1. Languages: Python.
2. Libraries: nltk, scikit-learn.
3. Database: MongoDB.


Data Processing System

Project description
The aim of the project was to build system to gather data from many data sources
store and visualize it.

My main responsibilities were:
1. Developed libraries to get specific data from data sources.
2. Developed Airflow workflows.
3. Developed custom Airflow operators.

Tools and technologies I used:
1. Languages: Python, SQL.
2. Frameworks: Airflow.
3. Database: PostgreSQL.

My main skills:

1. Data Science:
a. supervised learning algorithms (linear regression, logistic regression, SVM,
XGBoost etc.)
b. unsupervised learning (k-means, gaussian mixture model etc.)
c. worked with deep learning algorithms. Have an experience with computer
vision. Familiar with different convolutional neural network architectures:
AlexNet, VGGNet etc.
d. worked with such NLP techniques as: lemmatization, stemming, PoS
tagging, word segmentation, named entity recognition, etc.
e. worked with different libraries for machine learning (numpy, scikit-learn,
opencv, nltk, etc.) have an experience with keras.
2. I’ve been working the most with Python for almost three years. Understand OOP
principles, had an experience with different python frameworks (Flask, asyncio,
etc.). Also understand multithreading/multiprocessing principles and how it
works in python (features of GIL, etc.).
3. Experience with AWS greengrass
4. Communication and presentation skills.
5. Experiance in the teamwork.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Kaggle Awards:
Recursion Cellular Image Classification - Gold
*Built deep convolutional models for cellular image multiclass classification. Semi-supervised
methods. State-of-the-art CNN encoders and optimizers.
Understanding Clouds from Satellite Images - Silver
*U-Net and FPN models for multi-label image segmentation on noisy data. Ensembling. Rich
augmentations.
Tweet Sentiment Extraction - Silver
*Fine-tuned Transformer-based language models. Pre- and post-processing.
Baidu - Autonomous Driving - Bronze
*Built CenterNet model to estimate the absolute pose of vehicles (6DoF).
APTOS Blindness Detection - Bronze
*Fine-tuned deep convolutional models for eye disease detection. Transfer learning.
-Strong background in math and statistics (MS degree);
-Strong knowledge of different data science problems (regression, classification, segmentation, anomaly detection)
-Experience in computer vision (classification, segmentation, object detection)
-Active Kaggle competitor;
Interested in Machine Learning/Deep Learning/Computer Vision.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


Strong experience in Data Analysis and Modelling
Strong experience in providing Reporting Solutions
Strong experience in Predictive Analytics, Data Mining, Time Series Analysis
Solid background in management – consulting, business
Combination of technical and organizational background
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

Finished Microsoft Professional Program in Data Science
• Strong problem-solving skills and exploratory state of mind
• Experience using ML and statistical techniques:  Logistic|Linear Regression, SVM, Decision Trees, KNN, K-means, ARIMA, Statistical hypothesis testing, NN
• Able to build meaningful visualizations of results  (ggplot2, MS Power BI)
• MS in Computer Science
• Hands-on experience with relational  SQL databases, T-SQL;
•Working proficiency in  R and Azure ML (data mining, manipulating, ML);
• Experience of working in a team, experience with direct customer interactions. Ability to appreciate and ask business questions
• Good presentation and communication skills (previous working experience was in consulting area) 
•Participating in Kaggle  competitions
I want to make an impact on the real world and achieve advantages for my company using Data Science. The best way when my employer could calculate ROI from me :)
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate


- Strong programming skills in Python
- Knowledge of machine learning concepts, algorithms, and architectures
- Data processing, audio signal processing
- Experience with Operation research
- Experience with audio preprocessing
- Ability to apply data visualization techniques using python libraries.
- Basic understanding of Flask framework.
- Development of a system of generating images from audio information

Additional education:
«Python for data analysis» -  course in Coursera 
«Deep Learning» - specialization in Coursera
Develop useful software to solve applied problems in various disciplines.
Professional growth.
In particular gain useful experience.
Position: Data Scientist
Category: Data Analyst
Experience: 0 years | English: fluent

Genesis Product Analytics course;
1,5 years of academic python experience;
deep knowledge of calculus & linear algebra;
B2 level IELTS certificate;
C1 level polish language state certificate;
Student at KNU, Faculty of Mechanics and Mathematics, Statistics (2020- 2024)

Genesis & KNU data analytics 3-month course

Familiar with:
Git
PostgreSQL, Vertica and Datagrip as IDE
Tableu
Pandas
Position: Data Scientist
Category: Data Science
Experience: 8 years | English: upper


Summary:
I am an expert in Machine Learning and Data Analytics, proficient in using Azure ML, AWS, Python (Numpy, Scipy, Scikit-learn, TensorFlow, and Pandas), R, Power BI, MySQL, and Tableau. I have experience working in industries such as Banking, Mobile Applications, E-Commerce, and Retail.

As a Data Scientist/Analyst, I possess a strong technical background in mathematics and statistics and have worked on various projects in the bank industry and e-commerce. I have extensive experience in realizing real production projects with AI and Data Science. I have developed models for fraud prevention using Machine Learning algorithms (Neural Network classification if enough fraud session history is available) and linear algebra (calculating the distance between current user vector and typical vector) from scratch to a prod-ready real-time solution. I have expertise in product design, prototyping, and developing all the math algorithms used in the project.

Certifications:
I hold certifications in Analyzing Data in R, Python Advanced Course, and Microsoft Certified: Azure Data Scientist Associate.

Public Speaking Engagements:
I have participated as a speaker in several public events