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

I am engaged in programming from school. I graduated from Kyiv Polytechnic Institute with a bachelor's degree in computer engineering in 2017. At that time, I began to study the Data Science specialization, took several courses as a Coursera, and completed an internship at DataRoot Labs, where I got very good background in Machine Learning and Data Science.
I am a Data Scientist with 2 years' experience.
My main tasks, which I work closely with:
— Data analysis
— Building and deploying machine learning models
— Data ETL
— Data visualization and reports
— Statistician analysis
— Programming
My main tools:
— Python(numpy, pandas, scikit-learn, matplotlib, plotly, seaborn)
— R language
— Tensorflow and Keras for Neural Networks
— Tableau, Power BI for visualization
— Flask
— Excel
I have a passion to solve complicated problems that involve data analysis and related fields. If you have an unresolved problem that requires complex analysis and data processing, then I am the one you need.
Looking only for remote jobs.
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


I am an experienced data scientist and data analyst. I have helped couples of organizations and companies make informed decisions with the help of data. I have worked on different freelancing platforms such as Upwork, Fiverr, etc to carryout data analyst/data scientist roles.
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 0 years | English: upper


I do not have any commercial experience yet. But I have been working on my own projects(e.g. Exchange rate forecasting, Money laundering detection etc) that you can find on my GitHub. I have used different technologies and libraries like Pandas, Numpy, Matplotlib, Scikit-learn, Scipy, Opencv, Pytorch, FastAPI etc.

I am interested in Analytics and Data Science.
No ties with russia
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 8 years | English: fluent


I have built reporting infrastructure from the ground-up, developed automated and self service dashboard for different stakeholders, and conducted exploratory data analysis using Python libraries (Numpy, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn), SQL, Tableau, Looker, Metabase, Geckoboard, Power BI, Mode and Google data studio.
Position: Data Scientist, Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate

**Pet-projects:**
- Automatic localization of a mobile device in building rooms based on the WI-FI signal strength.
- NLP, segmentation, clustering, Apriori (association rules) models, Anomaly Detection.

**Hackathons:**
- Parimatch & Megogo Hacka-con (qualifying round, 2021).
- Int20h: Text comments classiication, LTV prediction (2021)
**National Health Service of Ukraine, Data Analyst:**
 Taking part in the implementation of medical reform in Ukraine:
- Automation of processes for the calculation of contracts, medical packages and reporting for primary and specialized medical care.
- Medical data analysis from the electronic health care system.
- Creating Python bots and SQL queries for calculating the cost of services and reporting.
- Implementation a system of analytical interactive dashboards for management decisions and dashboards for external users.

**Parimatch Tech**
- Marketing R&D, Product Research, Game Analytics:
- Mobile games market analysis, managing the full lifecycle of mobile game
- development (IOS & Android).
- MVP, PoC, Product Market Fit.
- Predictive analysis & building user retention models (DAU, MAU, Lifetime, CPI,
- LTV, Retention, Revenue), Cohort analysis, Segmentation

- Datrics 
- Kit/code
Position: Data Scientist, Data Analyst
Category: Data Analyst
Experience: 0 years | English: basic

Reports creating on the bank's loan portfolio on a monthly and daily basis.
Tableau, Product analytics, AARRR framework, metrics hierarchy, metrics overlay on the product funnel, RFM analysis, Cohort analysis, A/B testing, metrics auditing and monitoring, systematic product experimentation process.
Python basics, basic concepts of mathematical analysis, work with different data sources (csv files, jsons, API’s, SQL databases), site parsing, Numpy arrays, Pandas DataFrames, visualization (matplotlib, Power BI), linear models (linear regression, logistic regression, SVM), decision trees, random forest, clustering (k-means, agglomerative clustering, DBSCAN), etc.
Looking for challenge project to realize my skills and experience.
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 3 years | English: fluent

- Scientific publication in a peer-reviewed journal
- Human weight/activity prediction algorithm for a commercial device
- Integrated tax fraud detection algorithm for a government
The projects which were completed by me range from bio-statistics to fraud prediction and nlp research. I've a full range experience in the whole pipeline of ML/AI based solution creation, starting from data collection and cleaning to model building and explainability. Currently, I'm involved in several projects where in one I'm the principal data scientist in real estate related project and in the other NLP specialist. 
I wish to find a new opportunity where I can contribute my skills and knowledge, where I'll be passionate about the work I do and can grow as a specialist.
I would like to work on a creative and challenging environment full of extraordinary talents, from whom I can learn and develop as a professional.
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 0 years | English: intermediate

Without any achievements
Without experience in the IT field. But i’m looking for a job. I know python and various libraries well, mysql, mathematics (linear algebra, mathematical analysis, probability theory), basic Linux and Git, Regular expressions.
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 0.5 years | English: fluent

I have a master degree in pure mathematics. 
6 years studying math, including mathematical statistics and probability theory, did a lot of laboratory works.

Took courses on Udemy platform, such as The Data Science Course 2020: Complete Data Science Bootcamp, Customer Analytics in Python 2020, Fundamentals of Data Visualization in Tableau.

Took courses on Coursera platform, such as Python for Data science, Data Analysis with Python, Databases and SQL for Data Science, Introduction to Data Analysis Using Excel.
Worked as a Data Scientist from June to October 2020:

- Working with Python
- Writing complex PostgreSQL queries
- Reporting automation (using Python scripts)
- Data Normalization using Regular Expressions and fuzzywuzzy
- Using Python web scrape frameworks 
- Using NLTK, Spacy, Levenshtein distance
- Participation in the construction of logistics for the movement of 
   goods between pharmacies and forecasting prices


6 years teaching math as a tutor (also taught students probability theory and mathematical statistics).
Position: Data Scientist, Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


Working on some Awesome projects,, Learning to be a Data Science Practitioner through practical sessions and
hand on project-based working with real dataset by:
• Developing excellent problem-solving skills
• Performing Data cleaning and Exploratory Data Analysis
• Developing strong Data Analysis skills to derive insights from messy
data through Excellent Data Visualization.
Position: Data Scientist,Data Analyst
Category: Data Science
Experience: 1 years | English: fluent

I am interested in Data Science and Artificial Intelligence with mathematical knowledge which I earned through school years. During this period I attended some olympiads and competitions. I took the 3rd place in Republican Mathematical Olympiads in 10th grade, the 2nd place in Republican Mathematical Competition in 7th grade and the 2nd place in 'Scientists of Tomorrow' competition in Geography. In 10th and 11th grade I won 1st place two times in Purple Comet Math Meet over Azerbaijan and 5th place in the world. In university years, I have attended and completed 'Data Science and Artificial Intelligence' course which held by Institute of Education of Republic of Azerbaijan with distinction. Then this year, I finished 3 months course in Code Academy in Data Science.
I have attended and completed 'Data Science and Artificial Intelligence' course which held by Institute of Education of Republic of Azerbaijan with distinction and worked here as trainee for 3 motnhs. Also,during training period in Code Academy I ave learned and practiced a lot of projects around Linear and Logisitic Regressions,Classification and Clustering problems,Time-series,Neural Network and Random Forest models. I know data gathering,feature extraction,preparation and elimination, also building appropriate models based on problems. I can gain tons of insights from data and can build not only models, but also systems that can work in environment successfully.
Position: Data Scientist/ Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


- Built ML model to predict for a user to
perform a target action (ROC-AUC ~ 0.65) in Python using API
- Performed A/B testing 
- Simplified and automated a key business report in Power BI, saving the team 2 hours of reporting each week
I am currently searching for opportunities as a junior ML engineer or I would consider ML internship to deepen my knowledge
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 2.5 years | English: fluent


2+ years of experience as a Data Scientist/Machine Learning Engineer. Worked at banking (quantitative researcher), retail, startups. Skilled in Python (pytorch, pandas, numpy, matplotlib), SQL, Docker/Kubeflow, dashboards (Tableau, Streamlit, Superset), machine/deep learning, A/B testing.

Fluent English - scored 8.5 out of 9.0 on my IELTS.
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 2.5 years | English: upper

Master's degree in Computer Science.
Completed Data Science MOOCs (Among them Machine Learning by Andrew Ng, Vorontsov, Deep Learning specialization).
Participated in several Kaggle competitions.
April 2021 - Now
Current project: 
Data/Business analyst at top UK luxury brand(via outsourcing company)
Responsible for data onboarding to an analytics platform, data management and quality, creation of STTM and documentation, requirements elicitation 

Technology stack: Databricks, SAP HANA, python, SQL

August 2019 - March 2021 
Data analyst at Edtech company was responsible for data analytics and support of all company departments, reporting and visualization, helped to determine and calculated key metrics like (CTC, ROI, LTV etc), created a fully automated reporting system. 

Technology stack: MariaDB, python, SQL, jupyter notebook, plotly
I would like to make transition into data scientist role, so I would consider only roles that would help me to do that
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 2 years | English: upper

Bachelor Thesis "Identifying Malaria cells using neural networks"

Master Thesis "Automatic diagnosis of brain tumors using a convolutional neural networks"

Project "Solving the problem of optimal replacement of equipment in production"
Data Scientist/Data Analyst with overall 2 years of work experience with data. 
Good knowledge of Python, SQL. Skills in Data Preprocessing, Gathering Data, models evaluation and ML methods.  Experience in configuring data and automation between different tools. Advanced knowledge of Excel/Google Sheets. Understanding of statistical analysis methods and math background. Couple of projects using NN to predict diseases.
Ability to learn new technologies quickly and independently. Attention to details and strong communication skills. Strong problem-solving and analytical skills.

Data Analyst
GlobalLogic
- Analyze feature events and classify them
- Categorize issues of the same root cause leading to a false event, for instance a specific sensor issue
- Write CHIP failure reports
- Work with Grafana Dashboards
- Representation of information and data using visuals such as graphs, charts and more.
- Filter Data by reviewing reports and performance indicators to identify and correct SQL problems
- Optimize queries and calculations in SQL
Sep 2022 - Present · 10 mos

Data Scientist
PrivatBank
- Development of scoring models using machine learning methods for risk assessment
- Processing of large volumes of data
- Data querying and manipulation using SQL
- Creation of internal libraries for automating processes of data analysis, modeling and validation of models
- Monitoring and evaluating the effectiveness of models
Oct 2021 - Sep 2022 · 1 yr

Project Manager
Winstars Technology LLC 
- Communication with the clients within projects
- Team micro management
- Analysis of requirements for new products
- Creation and discussion development plan and tasks with developers
May 2021 - Oct 2021 · 6 mos

General Manager (Business Development Manager)
HorseRiding School "Avantgarde" 
Aug 2019 - May 2021 · 1 yr 10 mos
-Managing tasks
-Time management
-Planning tasks, projects and organizing
-Managed project budget
-Creating schedules
-Managing diverse teams
-Designing and signing off on contracts
-Issue identification and resolution

Intern
Scientific Research Institute of AIT 
Apr 2019 - Aug 2019 · (5 mos)
-Learning methods of Artificial intelligence
-Researching
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 4 years | English: fluent

• Certified Associate Big Data Analyst, Data Science Council of America
• Alumni, DAN.IT Education & IBA Tech Academy Data Analytics program
• Alumni, Udacity Data Scientist Nanodegree
• Certified Technology Associate, Microsoft Technology Associate Software Fundamentals
-Generated customer-segmented lead lists and ran A/B tests in campaigns 
-Generated use cases and analyzed results 
-Built Machine Learning models for lead management and cross-sale
-Built dashboards and captured insights from data for decision-making
-Extracted, collected, transformed and visualized the daily data 
-Presented detailed reports to upper management
-Implemented GNN using PyTorch to predict First-Order Logic queries
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 4 years | English: upper

Msc In Data science 
Devops Training
Publication  "Smart Home Load Analysis and LSTM-Based Short-Term Load Forecasting"
Udemy Certificate: Python for Data Science and Machine Learning Bootcamp
Highly organized and detail-oriented data scientist with 3+ years of experience in managing and analyzing large datasets, utilizing various machine learning and statistical methods and developing predictive analytics to identify key business opportunities. Possesses strong knowledge in Python, R, SQL. I have Strong background in statistics and computer science. Proven track record of solving complex business problems using data-driven insights. Excellent communication and presentation skills.
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 2 years | English: upper


I have got 2 years of experience in Bank Risks Modelling with Credit Risks being the main focus. My expertise includes:
- Implementing ECL calculation - PD and LGD Modelling under IFRS 9 Frame for almost half of the banks in my country;
- Strong foundation in manipulating and cleaning data using Python and SQL;
- Project Manager of several projects for various clients;
- Participating and managing projects that have been dockerized and deployed to an interface;
- Involving in Credit Scoring Modeling project; 
- Participated in Data Science training as a SQL mentor and assessment of tasks in SQL, Python, Data Structures, and Statistics;
- Involved in Data Modeling Audit process for a domestic telecom company;
- Applied stress testing for some local banks;
- Experience in Audio Signal Processing projects that utilize Python libraries such as TensorFlow and Librosa;
- Worked on web scraping projects using
requests/beautifulsoup/Helium, Image Processing
using OpenCV, and sentiment analysis;
- Dedicated to providing ongoing support for
products that we deploy and maintain open
communication with clients to address their
needs.

As a Project Manager, I have successfully completed multiple projects and deployed them to interfaces. I am proficient in several programming languages, including Python and SQL, and have extensive experience using Tableau, Git, and Excel to analyze and visualize data.

I take pride in delivering high-quality work that meets or exceeds client expectations, and I am always eager to learn and expand my skill set. If you're looking for a talented professional with a focus on data science and analysis, please don't hesitate to reach out.
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 3 years | English: fluent

McKinsey Prohack Hackathon top 50 (05/2020 – 06/2020)
Participant of Prohack : International Data science Hackathon by McKinsey & Company . I was always on the lookout for machine

Ceritified Data Scientist
Issued by Dara Science Academy
Loan Default Probability prediction with R (2019)
Loan Default Probability prediction with R (2019) (2020) My task was perform analyse Bank Customer data and predict credit default probability of customers. I performed exploratory data analysis,data preprocessing,feature engineering and build logistic regression model that can classify loan default with 90% accuracy

            Telecommunication Babysitting Business Case with SPSS,Tableau (2020)
I have been given list of new subscribers in Telecommunications Company.I am asked to support marketing team to launch data driven babysitting campaign. Using appropriate analysis to find which variable affect churn most and detect customer clusters with highest churn rate. Run campaign to prevent churn and retain subscribers.

                      Forecasting stock prices with Deep Learning Model with Python (2020)
This project performed on dataset representing the Stock Price of Google incorporation between 2013-2018 years. I did exploratory data analysis to gain key insights about data. Performed data preprocessing and feature engineering. Using deep learning model i predicted next one year of stock prices

                                      Credit Risk Analysis model in Python
Helped analytics team in creating model to quantify and manage credit risk accross different product lines.I mostly helped in modelling part of the project.Testing different models,validating their results and optimzing them.

                                    Joint Project with Boston Consulting Group
Building data sources for credit sales from different channels,showing funnel analysis of each step of credit sales.Built dashboards that help all teams to optimize their sale process and to understand critic problems in each flow and enhance customer experience.

Joint Project with McKiney&Company
Creating data sources,tables for credit campaign sales,analysis,effectiveness of campaigns on sales.Built detailed dashboards based on this sources on Tableau.
Looking for a team, where I will be able to grow up as professional,improve myself and enjoy while adding value to my company.I love to see I am really making impact and pushing company through progress.
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 2 years | English: upper


Pet-projects

 COVID-19 World Vaccination Progress
  • Explored and visualized the COVID-19 vaccination data, dealt 
    with missing data using the Mann-Whitney U-test.
  • Analyzed the time series of daily amount of vaccinations, 
    transformed it to a stationary form for further forecasting. 
  • Built ARIMA models and chosen the best one with the AIC. 
    Predicted the amount of vaccinations around the world for the 
    next 7 days.
  • Technologies, which were used: Python, matplotlib, seaborn,    
    plotly, SciPy, statsmodels.

 Mobile Phones Data
  • Collected mobile phones’ prices/characteristics data and  
    transformed it. 
  • Created a class, intended for finding appropriate values to make.  
    relevant data cleansing.
  • Made an exploratory analysis along with visualization.
  • Technologies, which were used: Python, requests,  
    BeautifulSoup4, pandas, NumPy, matplotlib, plotly.

Skills

 ML stack: scikit-learn, XGBoost, LightGBM, statsmodels, keras,  
 TensorFlow, intermediate theoretical knowledge.
 Data Analysis, Preprocessing and Visualization: NumPy, pandas,  
 SciPy, matplotlib, seaborn, plotly, Tableau, MS Excel.
 Other : English (Upper Intermediate), OOP, Python, SQL (MySQL),  
 Web Scrapping, Statistics, Probability Theory, Linear Algebra,
 CSS, HTML, JavaScript, Java, git (basic).
I want to become a part of a friendly, ambitious team, which would help me to gain professional experience to become a great specialist.
Position: Data Scientist/Data Analyst
Category: Data Science
Experience: 1 years | English: intermediate

Graduated from Taras Shevchenko National University, Faculty of Physics. 
 I am actively studying Data Science, finished the courses: Training on labeled data, Exploration of structure in the data, Introduction to Data Science and Machine Learning, Fundamentals of programming (Python), Python 3 tutorial, SQL Fundamentals. For many years i had been working as a tutor, had been preparing many students for exams, had been receiving dozens of positive feedback and words of gratitude. All of my life I adore mathematics and everything related to it!
Worked on a discount card fraud detection. Created a model for classifying cases of discount cards fraud using the following technologies: Python, Pandas, Numpy, Scikit-Learn, Random Forest, Logistic Regression, Clastering, Visualization (Matplotlib, Seaborn).
I expect interesting tasks, a positive atmosphere, developing and learning every day.
Position: Data Scientist\Data Analyst
Category: Data Science
Experience: 2 years | English: upper

Obtained masters degree in Applied Math at Taras Shevchenko National University.
Have completed Yandex course "Introduction to Machine Learning" at coursera.
Have worked with Python libraries: NumPy, pandas, matplotlib, scikit-learn. More over, I use in my work Jupyter Notebook.
I have excellent understanding of OOP principles.
queries in SQL
ML algorithms

Apart from that, I've had extracurricular and volunteer experience:
•	8-months English course
•	Volunteer at Devoxx (2018)
•	Participation in Data Summer Conf in Odesa (2018)
•	Participation in the scientific seminars in the Austro-Ukrainian Institute for 
Science and Technology in Vienna on Category-theoretical Models in Topological Quantum Field Theory and Quantum Physics (2018)
•	Participation in the Fall 2017 School on Applied Mathematics and Statistics
Vodafone Ukraine (Jun 2019 — Present)
Data Scientist 
Data exploration; Developing company strategy based on existing data; Feature engeneering, data preparation; Prediction classifiers; Multiclass models; Model validation. SAS, Python.

Raiffasien Bank Aval (Dec 2018 — May 2019)
SQL developer 
Work with different SQL-based systems, developing procedures, complex queues; script optimization.

Study projects in Python with different ML algorithms: classification, regression, analyzing data and it's vizualization.