lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst/Data Entry Specialist/ Business support specialist
Category: Support
Experience: 4 years | English: fluent

Production Separators Sizing, Slug-catchers, Design Pressure and Temperature
Process Control (PID, Feedback, Feed Forward etc.)
Introduction to Offshore-Platforms
SOCAR Google Data Analytics Certificate
LinkedIn Learning Certificates related to Excel, HTML 5, Data Analyst, SAP, AutoCAD 2019 and etc
Aspen HYSYS V10 (Advanced User)
Autodesk AutoCAD 2D 2019 (P&ID Drafting) (Professional User)
Mathcad, Polymath(Beginner User)
Microsoft Office Suite (Advanced User)
Windows Operating System (Professional User), OS Formatting,Software Installation
BP Global Atlas System, WORLEY EMS/ATSM-KDCN System
HTML 5, SQL(Basic User), CRM(Professional User), SAP (Basic User), Power BI, Tableau
Linux Fundamentals, Oracle VirtualBox
If i need to describe myself with simple words they should be "fast-learner"
and "fast-adaptive"
employee and the rest is :
Forward-thinking Engineer with great education and experience background (GPA 3.5) with experience in
Worley/Rapid Solutions, SocarPolymer, Demirören Holding/Azerlotereya, AzeriMed. Experience is related
to predominantly engineering, data science and business / sales support & development. In Worley I have
worked on more than 5 BP Projects and attended to Design Review and HAZOP/LOPA meeting as a scribe,
as well as design work with the use of Aspen HYSYS V10 and AutoCAD. Exposure to P&ID, PFD, UFD,
H&M, Tie-in, Line Lists, Cause & Effect Diagrams, Commissioning Procedures, Calculation's reports.
Working with SAP solutions and preparing Excel master data and maintenance reports for proper use in SAP
system in SocarPolymer as a Master Data Coordinator. In addition, I worked as Business Support Specialist
in Demirören Holding / Azerlotereya, and the main responsibilities are preparing reports and creating CRM
system, solving customer related issues and helping marketing team to boost sales.
Position: Data analyst/Data Science
Category: Data Science
Experience: 3 years | English: intermediate


Process-oriented data analyst with 3 years of experience using data processing and predictive modeling,  to solve challenging business problems. Make use of implement mathematics methods to optimize business process and present finding in simplified manner  understandable to wider audience.
I want to get  a new experience in data science and have opportunity to learn something new. Professional growth.
Position: Data Analyst, data science
Category: Data Analyst
Experience: 1 years | English: intermediate


To identify and access customer needs to achieve satisfaction, putting in excellent attention to details while working on a project. Worked with AXA mansard insurance company. Microsoft office, teams, excel are used in terms of sending reports and having meetings online. Presently work as customer and sales representative. Growth is definitely what everyone want and will like to grow in the technology world.
Position: Data Analyst, Data Science
Category: Data Analyst
Experience: 2.5 years | English: fluent


I have been working as a Data Scientist/Analyst for PUBLICIS MEDIA since March 2021, where I have contributed significantly to several projects for global brands in Europe and North America. My expertise includes statistical analysis using SQL, Catboost Regression, and Shapley values, which have resulted in an impressive 80% accuracy in identifying web features that drive business. 

During my time at CYBERNET in Almaty, Kazakhstan, from October 2021 to March 2022, I specialized in NLP and ASR. I improved language models by reducing Word Error Rates (WER) for both Kazakh and Russian languages. Furthermore, I created a text emotion recognizer with an impressive 87% accuracy rate and developed a Named Entity Recognition system with 75% accuracy. 

As a Data Science Intern at WATCHOUT!AI from March 2021 to September 2021, I conducted research and developed NLP models to address brand safety issues. I built an emotion classifier from scratch using Python and BERT NLP framework, resulting in a 46% increase in prediction accuracy. This model is currently used in Watchout!AI's frontend demo app. Additionally, I integrated this model as a microservice into the application. My work also involved sentiment classification using ru-GPT with an 82% accuracy rate. I contributed significantly to the data team by providing thorough Exploratory Data Analysis on various datasets.
-Alcohol and Gambling
-Bank (Credit Scoring)
-Unlawful Entertainment (Bar,clubs and so on)
-Tobacco and Harmful Substances
- Deceptive Practices (Any form of business that involves fraud, deceit, or dishonesty)
- Exploitation (Businesses that exploit workers or engage in unfair labor practices)
-Weapons and Armaments
Position: Data Analyst, Data Science
Category: Data Analyst
Experience: 0 years | English: intermediate


I'm a student at Lviv Polytechnic National University, Institute of Computer Science and Information Technologies. I have experience with my educational projects such as website development, dataset analysis and ML model building. Also, I take part in ELEKS QA Summer Camp 2021.
Position: Data Analyst, Data Science
Category: Data Science
Experience: 5 years | English: pre


My main work experience is as a steel market analyst. My main responsibilities are analysis of the steel market conditions, estimation and analysis of a retrospective, as well as short-term and medium-term forecasting of market demand and production performance of enterprises, writing a large analytical report with forecasts for my market.
I would like to try myself in Data Science. I like working with numerical data, analyzing it, finding interesting patterns
Position: Data Analyst, Data Science
Category: Data Science
Experience: 3 years | English: intermediate

Improved and automated the process of reconciling operational analysis data

Formation and compliance with business requirements the development of a platform for automating data collection and visualisation of results for one of the Big Four companies

Developed and implemented a package of documents for the Discovery phase of business projects
Passionate analyst with mathematical base and strong desire to develop as a data scientist
Ensuring the accuracy and completeness of the information included in the results
Found solutions based on the existing system for potentially new functionality
Development a solution that satisfied the steak-holders and developers
Created terms of reference and business requirements
Documented functional/technical requirements and test cases
My goal is implemented knowledge into practice, build solutions, use latest insights and get interesting experience
Position: Data Analyst/Data Science
Category: Data Analyst
Experience: 1 years | English: upper

- school of public administration by Lviv city council
- Data Engineering and Security School by LNU (winter 2020, winter and summer 2021)
- junior data analyst in PwC Lviv SDC(2021)
Excel, SQL. It was just internship, where I improved my soft skills, like teamwork, problem solving, time management and so on. Also I improved some hard skills as…
- data management specialist in RocketRoute(2022-2023)
I worked with airnav data. 
- educational projects in data science sphere(2019-2023)
Position: Data analyst, Data Science, Financial Analyst
Category: Sysadmin
Experience: 3 years | English: fluent

Wrote sofisticated VBA scripts with mail-sending integration. Built from scratch projection model for budgeting purposes.
Wrote complex SQL queries for SSRS reporting needs.
Wrote desciptions of internal business processes.
Automated various internal proccesses: business analytics, commission calculation (with script), weekly reports (with salesforce integration + complex formulas), branch analytics (with moving most of calculations to Oracle, wrote couple of nice fast scripts). 
Took part in investment proccess by creating different kind of analytics and putting data into presentations (e.g. waterfalls, bridges, outstandings etc).
5 years of experience in analytics. 3 years in bank as a management reporting creator, 2 in American IT SaaS company in financial projections and reporting. In bank I was working a lot with Oracle, creating compex SQL queries (sybase, oracle) and management reports. Have good experience in creating SSRS reports or reports using Power BI. I have great excel level - everything from creating reports/waterfalls/bridges/whatever you need to integrating queries, creating internal mini-databases, VBA scripts. I have a lot of experience working with "dirty" data, know how to deal with data preparation. Salesforce/Quickbooks/SAP are among tools I had to work with. Finished IBM Data Science with Python certification, Power BI certification. Looking for opportunities to develop my analytical and technical skills.
Looking for opportunities to switch to more techincal approach for data analysis. Always was good with statistics, like to work with big datasets. 
Expecting official laborship or contract, have FLP open. Social package would be a plus.
Position: data analyst, data scientis
Category: Data Analyst
Experience: 0 years | English: intermediate

I have completed the Python for beginners course with honors. Now I'm learning SQL, Pandas, DB, AWS, Power BI, Matplotlib. My English is intermediate, Ukrainian and Russian native. Czech language А2-В1.
I have been working in the IT field for 4 years as an IT recruiter. A year ago, I decided to get into data analytics. My first education was the Faculty of Mechanics and Mathematics of the University. T.G. Shevchenko. Completed a training course in data analysis in Czekhitas (Czech Republic).
I would like to inquire about study, internship or junior/trainee opportunities in data science/data analytics.
Position: Data analyst / Data scientist
Category: Data Analyst
Experience: 3 years | English: upper


12.2021 - till now
Data analyst

Multiplatform product (iOS, Android, web):
•BigQuery (data storage, data lake, )
•Google data studio BI (dashboards)
•Python research (unit economy, ticket processing time)
Tools: Python, BigQuery, Google Data Studio

09.2020 – 12.2021
Data analyst

1. PROJECT (iOS app):
•Power BI (live connection to MySQL): DAU / retention / conversions / deleted profiles /push stats / GEO comparison / Media source comparison
•BigQuery (raw data extracts for research)
•Python research (funnel analysis /bottleneck analysis)
•User clustering on tracks (TF-IDF) K-means
•User clustering on text vector K-means
Tools: MySQL, Python, Power BI, BigQuery, FireBase, AppsFlyer

2. PROJECT (web):
•Tableau getting data extracts to CSV
•Python ETL (get data from MySql, CSV, Google sheets, transform it, and
preparing CSV files for Power BI)
•Power BI preparing reports, publishing reports, and update
•Preparing reports on demand for a Product manager
Tools: MySQL, Python, Power BI, Tableau BI.


03.2020-06.2020
Junior Data analyst

• Analytical report creation: turnover analysis, region orders analysis, chargeback/refund analysis;
• Building new dashboard;
• Call-center analysis by shifts;
• Raw data collection.
Tools: SQL, Python, Sisense BI, Jupyter Notebook, pandas.

12.2019-02.2020
Junior Data scientist 

• Web parsing (Yahoo Finance);
• Text classification (k-means, LSTM, separation financial reports news from other news);
• Preparing dataset for information extraction (connecting financial reports news releases with financial
reports statements from SIC).
Tools: Python, Jupyter Notebook, scikit-learn, keras, pandas, Beautiful Soup.
Looking for Data Analyst/Data scientist position at company with a skilled team.
Position: Data analyst / Data scientist
Category: Data Analyst
Experience: 2.5 years | English: intermediate

Education (2016-2021):
• Bachelor's degree in Computer Science at the NTUU "KPI"
• Master's degree in Information Systems and Technologies at the NTUU "KPI"

Certification:
• Data Analyst In Python on dataquest.io
• Machine Learning on Cousera
• Tableau Data Analyst on udemy
Experience (2 years):
1) Data (Financial) Analyst (June 2020 - May 2022):
• Analysis of company performance indicators (CM, P&L, LTV, CAC, Default Rate)
• Reporting automation (using TelegramBotAPI and Python)
• Building dashboards in Amazon QuickSight BI 
• Ad-hoc reporting using SQL (PostgreSQL, MySQL) and Excel
• Fraud detection
Looking for:
• Automation of information processing, reporting using Python. 
• Collecting, analyzing, large amounts of data, building SQL queries to the database. 
• Information processing using Excel (optional). Information processing, building forecasting models, visualization using Python. 
•  Visualization, building dashboards in BI tools (QuickSight, Power BI, Tableau, etc.)
• Powerful and friendly team
• Work-life balance
Position: Data analyst / Data scientist
Category: Business Analyst
Experience: 1 years | English: upper

- Excel (Advanced level);
- SQL (MySQL, PostgreSQL);
- Programming languages: Python (Pandas,
NumPy);
- CRMs: ERP, 1C:Enterprice 8.0, Sales Force;
- English - Upper-Intermediate.
I am data analyst with 1+ year experience. I like working with data. I spend a lot of personal time
studying this direction. Now I'm seeking a position as a Data Analyst / Data Scientists.

EXPERIENCE
LuxOptica
Data Analyst
07.2020-present

- create and update analytical dashboards;
- create and search criteria to optimize
business processes.

Technologies used:
- Excel;
- SQL;
- CRM: ERP.
Focus on long-term and interesting work.
Position: Data analyst / Data scientist
Category: Data Analyst
Experience: 4 years | English: upper


SOFTCONSTRUCT 11.2021 - PRESENT
Data analyst.
Business processes investigation and new ideas gaining
Dashboards developing
Dashboards performance optimizing
Data science projects elaborating (events prediction, forecasting,
clustering)
Implementing web and app events tracking
MAXITECH 09.2020 - 10.2021
Data analyst.
Business problem investigation, analytics and decision making
Reports and dashboards developing
Data science projects developing (user behavior prediction)
Ad hoc analytics providing
DATAFOREST 11.2019 - 05.2020
Data analyst / data engineer.
Data exploration and analysis
Project data pipeline designing
Developing full cycle of data logic: migration, aggregation, ETL,
storage etc
COBIT SOLUTIONS 02.2019 - 09.2019
Data analyst / BI developer.
Designing and creating DBs
Data mining
Data cleansing, ETL/ELT
Building various dashboards (mostly for marketing)
Defining business problems and finding ways to solve them
Position: Data analyst, Data scientist
Category: Data Analyst
Experience: 5 years | English: fluent

Over the past year, I have led multiple successful data product migration projects in the fintech domain, resulting in improved system efficiency and increased profitability for our clients.
1. Data Scientist Associate (EDA, Data visualization, Data pre-processing, Developing predictive models, NLP, Conclusions, AI tools)
Data: numerical data, categorical data, text data, time series data, geospatial data, images

2. Data Business Analyst / US Data provider/ Fintech (Development of the Azure-based data management iData platform, Cloud solutions)
Data: ER, FAS, IRFCL, WEO

3. Business Analyst Team Lead / Professional Services, Background screening platform/ Personal Information ( JS, SQL database)


4. Data Business Analyst/ EU Data provider, Business Information and Media /Fintech, FX (Angular, .NET, SQL database, Spark, Java, GCP, AWS, HDFS, ETL, DAG)
Data: TimeSeries Data, CORAX, referral, earnings, dividends, shares, nominal value, voting rights
Position in a company with the prospect of professional development in Big Data/Data Science.
I definitely don't want to be a one-man band on the project. I prefer to work with a motivated cross-functional team.
Ready for relocation.
Position: Data analyst/Data scientist
Category: SQL
Experience: 4 years | English: intermediate

Develop reports with the minimum number of bugs in the team
Oracle developer 2 years
Advanced SQL and PL/SQL
Report developer (Jasper) 2 years
Python, R fundamental knowledge
Agile Scrum
Stabile company. Good team. Huge datasets. Cookies)
Position: Data analyst / Data Scientist
Category: Data Science
Experience: 3 years | English: upper


My professional qualities:
- MS Excel – summary tables, formulas,
sorting and filters, visualization, add-ons
- Model Cluster analysis
- Model Classification
- Time series analysis (SARIMA, ARIMA,
GARCH, Holt-Winters,exponential
smoothing, trend models);
- Regression models;
- Neural networks
-  Cloud Services: BigQuery, Data Studio;
- MySQL, DataGrip
- R and Python
- Power BI, Tableau, Looker
- HTML, CSS, JavaScript; - Jira, Bitrix, GitHub,
- Slack, Git
- Google Analytics, Google Tag Manager
I worked in different areas: cryptocurrencies, marketing, retail and ets. I am looking for interesting projects where I can apply more Python and SQL.
Position: Data analyst, Data Scientist
Category: Data Analyst
Experience: 1 years | English: upper


•	Experience Extract, Transform, Load (ETL) data from web scraping;
•	Experience in preparing a special dictionary for automatic generation of descriptions of electrical products;
•	Experience in analyzing the needs of an online store in goods of various categories;
•	Experience in using Python, SQL, Pandas, numpy, scikit-learn, matplotlib in solving tasks in several courses.
Position: Data analyst/Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Data oriented developer with 4 years of experience in project work. Experienced in big data, ETL proccesses, data manipulation and vizualization, building models that fit the problem best. Skilled in machine learning, statistics and programming.

Main skills: Modelling, Statistics, Machine Learning, Deep Learning, Reinforcment learning, Algorithms and Data Structures.
Programming languages : Python
Data analysis and visualization: Tableau,Power BI.
Experienced in: Pandas, Numpy, scikit-learn, tslearn, scipy, statsmodels, TensorFlow, Keras, PyTorch, RL, AWS, GCP, Databricks, Git, Jira.
Position: Data Analyst/data scientist
Category: Data Science
Experience: 7 years | English: upper

Several successfully finished projects  in areas of finance, marketing , banking etc.
more than 7 years experience in Data analysis and Data science 
with active usage wide range of tools and technologies include 
ML models 3y
Python (Anaconda) around 2y
R  around 3 y
SPSS,
SAS,
BI tools ( Power BI & Tableau )
OLAP
SQL (>7Y) MS SQL ,MySQL,PostgreSQL etc
HADOOP (short period)
...
from business point of view main knowledge in finance , marketing, banking,  clients(users) behavior etc
Im tring to find  remote work  or remote with future posibility to relocation when it will be available
Position: Data Analyst, data Scientist
Category: Data Science
Experience: 5 years | English: fluent


I am experience data analyst who use data to find insight and provide to solutions real problems. I also build nice design dashboard with power bi to provide visualization for big data. A hardworking data analyst.
My expertise in SQL, Power BI, Excel, and Python, combined with experience in data visualization and presenting to stakeholders, would make me a great addition to your team.
Position: Data Analyst, Data scientist
Category: Data Science
Experience: 0 years | English: upper

I have worked with Python(NumPy, Pandas, Matplotlib), SQL, and Postgresql while completing my projects and tasks at university. Also, I have accomplished some courses and exercises on Kaggle.
While I do not have previous job experience,  I possess a strong dedication and passion for continuous learning and personal growth.
Position: Data Analyst & Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


I  have been working in the field for the past 2 years. I have gained valuable experience working as a Data Scientist at QSS Analytics for 2 years and Softengi for 4 months. My experience has given me a deep understanding of data extraction, feature engineering, and data visualization techniques.

I am well-versed in various technologies such as Python, R, SQL, Tableau, and PowerBI. I have a strong understanding of machine learning techniques and have experience in implementing them to solve business problems. I am confident that my skills and experience make me a strong candidate for the role and I am eager to contribute to the success of your company.

Thank you for considering my application. I look forward to the opportunity to discuss my qualifications further.
Position: Data Analyst , Data Scientist
Category: Data Analyst
Experience: 1 years | English: upper


Junior data analyst 
Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine
1) Database Analysis:
I have analyzed several databases with various datasets to extract useful insights. Through this, I gained a comprehensive understanding of the data sources and their relationships. I also found and resolved data quality issues, inconsistencies, and anomalies in the databases. To ensure the accuracy and integrity of the data, I utilized data profiling techniques.
2) Python Analytics Stack Expertise:
I completed various data preparation tasks, including cleaning, transforming, and aggregating datasets. Utilizing statistical and mathematical functions from libraries, I conducted data analysis. To effectively communicate findings and trends to stakeholders, I created informative data visualizations.
3) Data Processing and Analysis:
I used my coding skills in Python and JavaScript to process and analyze various datasets. I conducted thorough data analysis by utilizing map algebra and pixel statistics algorithms to detect patterns and trends.
4) Data Visualization:
I used data visualization tools to create captivating and informative graphical representations. To make complex analysis results easy to understand, I presented them in a visually appealing way. 
5) Neural Network Dataset Creation:
I optimized data formatting and structure for seamless integration into neural network models.Also, I collaborated with machine learning experts to align the dataset with model requirements.
Position: Data Analyst / Data Scientist
Category: Data Analyst
Experience: 1 years | English: upper

At the moment I am still actively studying Data Analytics & Data Science. I devote all my time to this direction, study on courses and just looking for a lot of useful information on this topic. 
In my portfolio so far I have only a few projects and a few freelance orders.  

I want to work in a big company, in a team on larger projects. To learn new things and bring more value to the team. 
My goal is to pursue a career in Data Science,work very hard and study to grow to Data ScienceTeam Lead in 3 years.
My communication skills are excellent, and I havea strong commitment to research.
1. Marketing campaign analytics
Analyzing the data set in order to understand this problem and propose data-driven solutions. Providing EDA Analysis for the data set. 

2. Analysis of vacancies for Head Hunter to build amodel that would automatically determine theapproximate level of salary.
Project tasks:
Data structure analysis, data transformation,exploratory analysis, and data cleaning.

NetEnt (2016-2020)
Testing and checking the quality of onlinecasino games for desktop and mobiledevices for accuracy of functionality andcompliance with required functionalspecifications and regulatory requirements.Collaborate with the development team toensure that new games are released with thehighest possible quality. Manage the team'senvironment build process.
Professional growth. Startup. An interesting project. A friendly staff. Adequate management.