lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Analyst (BI)
Category: Data Analyst
Experience: 1 years | English: intermediate


Work experience:
1. January, 2022 - December, 2022, MedeAnalytics, Ukraine
Business area: US healthcare (data governance policies including the protection of protected health information (PHI) or personal information (PI));
Positions: 
- 6 months of internship at Trainee Bussiness Intelligence (BI) Engineer position;
- 4+ months at Junior BI Engineer position.

2. January, 2023 - Current, PrivatBank, Ukraine
Business area: banking
Positions:
- Data Analyst.

Knowledge/experience:
- MSSQL Server 2014/16 (T-SQL, stored procedures, functions, rowstore/columnstore indexes etc.);
- Data Visualization;
- Microsoft Power BI;
- Tableau;
- DAX;
- Creating ETL;
- DBeaver;
- Vertica (passed official exam);
- Microsoft OLAP;
- Basic Mondrian;
- Microsoft Analysis Services (SSAS);
- Building reports based on aggregated data from OLAP;
- MDX (MultiDimensional eXpressions);
- XML;
- Microsoft Office, Excel;
- Jira, Scrum, Agile.
Position: Junior Data analyst/BI analyst
Category: Data Analyst
Experience: 0 years | English: upper


Financial Analyst with 3+ years of working experience. Master’s degree in Finance and ACCA student. 
Seeking oportunity to switch my profession from financial analysis into data analysis, since in the last one I see more potential to develop. I'm currently taking a course in Business Intelligence from DanIT school. Within this course I've learned SQL to design and manipulate databases, Python to analyse and test unstructured data, PowerBI and Tableau to visualize data.
I'm looking for a position where I can use my skills in data/financial analysis and communication to help companies improve their margins and profitability.
I would like to use SQL,Python, PowerBI in my work to analyse and visualize info. I believe my expertise in financial aspects of business can be useful for data analytics too.
Position: Junior Data Analyst | BI Analyst
Category: Data Analyst
Experience: 0.5 years | English: pre

I am a focused and detail-oriented data analyst who has effectively used technologies such as SQL, BigQuery, and Tableau to extract valuable insights from large datasets. I had experience of cooperation in teams and individual projects. I am ready to apply my skills to make decisions based on data and build high-quality and understandable visualizations.
At the moment, I am a civil servant who has valuable experience in processing large amounts of data. Having strong analytical skills, I find patterns and draw conclusions that help avoid problems or difficulties in the future. I also have a little experience in site administration.
I will be happy to apply my knowledge and skills to work with data to make holistic informed and balanced decisions that will benefit the company.

Key responsibilities:
- Collection, processing and consolidation of data.
- Preparation of statistical reporting on administrative cases in terms of month, quarter, year.

I used the following technologies:  SQL, Tableau, BigQuery, Google Looker Studio, DBeaver, Slack for communication with my colleagues.

I have experience as a Data Analyst using Tableau to create effective and informative dashboards. Using data from the database, I analyzed key product metrics to build visually compelling and understandable visualizations.
In my future work as a Data Analyst, I am interested in interesting and large-scale projects. Most of all, I want to be able to use all my knowledge and skills to make informed decisions and grow the company as a whole.
I hope that I will have a wonderful, friendly and professional team to work effectively and achieve common goals.
Position: Junior Data Analyst / Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate

2016-2023:
A TOP-5 level company in the market of specialized construction services.
10-fold increase in the scale of the company.
More than 350 successfully implemented, profitable projects.

2014-2016:
Repeatedly - the best group according to work results
I have analytical experience from previous fields.
Working in the position of Team leader, I was daily involved in the analysis of key performance indicators (KPI) of the team's work, based on the analysis, I worked on improving these indicators.
While working as a manager of construction projects, he was constantly engaged in the analysis of projects profitability, calculation of the cost of projects implementation for clients, conversion analysis, and analysis of other main indicators of the company's performance.

Regarding Data Analytics skills:

Google Sheets
Working with tables and formulas in Google Sheets. Data cleaning and preparation. Work with product metrics. Calculation of engagement indicators. Use of linear regression for forecasting values. Construction of graphs. Construction of summary tables. Working with text functions and dates. Creating tables for cohort analysis.

SQL
Practical experience of working with PostgreSQL (using DBeaver).
Connecting to databases. Data cleaning and preparation. Writing basic queries. Application of grouping and aggregation functions. Combining data from different tables using join and union operations. Application of common table expressions (CTE). Using operators to work with strings. Using conditional and missing value operators. Application of functions for working with dates and window functions. Experience writing queries in BigQuery.

Visualization tools
Using Google Looker Studio to build a dashboard. Construction of reports and complex diagrams in Tableau. Creating and using calculation fields for calculating metrics, writing LOD expressions, using Table Calculations, using parameters and actions. Skills for creating beautiful visualizations.

Other tools
Using slack for communication, Trello for planning and working with tasks.
I want to join an interesting team and project that will give me the opportunity to fully reveal my analytical talents.
Position: Junior Data Analyst/ Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate

As a data science student, I effectively used technologies such as BigQuery, SQL, and Tableau to extract the information I needed from datasets. I have participated in various projects using my knowledge to analyze data, extract valuable information and present the results through interactive visualizations. With the help of the acquired theoretical knowledge, I can use various methods of analysis, use the necessary product metrics, coefficients and formulas.
Accounting Coordinator with a 3+ years of experience and strong foundation in key accounting tools including 1C, SAP, Google Sheets, Excel, SQL.  I have knowledge of the basics of finance and accounting. Also with a solid understanding of SQL, I am equipped to analyze data efficiently. I am interested in making data-driven decisions for business growth.

Cohort analysis in Google Sheets (GoIT course)
As a junior data analyst, my project focuses on product metrics analysis and user behavior analysis. I evaluate user registration, account setup, feature implementation, and maintenance to optimize the onboarding process. With the help of data visualization, I track the progress of users and their activity. Segmentation analysis helps tailor the onboarding process to different user cohorts.

Product metrics using Looker Studio (GoIT course)
As a junior data analyst, I mine and analyze data to measure key metrics like CPC, CPM, CTR, ROMI. Visual reports in Looker Studio are created to effectively communicate results and support data-driven decision-making. The project aims to improve business strategies, improve product performance and drive company growth.

Analysis of user activity in TABLEAU
I have experience as a data analyst using Tableau to create impactful dashboards. Using a database containing information about the application's users, visualization helped to better understand age preferences, time spent in the application, and the total number of users.
Position: Junior data analyst/ data analyst trainee
Category: Data Analyst
Experience: 0.5 years | English: upper

Creating from "zero" Power BI analytical dashboard regarding LNG projects in Europe
Suggestions for improving this and other dashboards
12.2022–03.2023 : internship as data analyst at «Naftogaz of Ukraine», commercial activity department:
•	collection, verification and processing of data from various sources in Microsoft Excel, particularly, Power Query;
•	developing of dashboards in Power BI based on collected data;
•	support and updating of analytical reports.

Ambitious and passionate with strong motivation to pursue a career in data analysis, particularly, financial sphere and e-commerce.
Position: Junior Data Analyst / Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Understanding the Business
- As Project Manager, applied critical thinking to determine underlying dependencies and factors that will have the most value to the business
- Familiar with a wide range of metrics: financial, subscription, web analytics, marketing, retail, customer support

Communication Skills
- Acted as a middleman between the tech and non-tech people on 20+ projects, translating results to various stakeholders 
- Proficient in presentation skills (written and verbal), creating reports, specification preparation, data visualization

Data Analysis
- Automated data collection from different sources (API / parsing)
- Applied clustering algorithm to find customer behavior anomalies 
- Supervised custom dashboard development as a feature of a B2B SaaS startup
Diligent IT professional with CS degree and 8+ years expertise in web development. Experienced in interpreting data, implementing tracking and creating dashboards. Used Python to support marketing activities, resulting in a 7% increase in conversion and a 15% decrease in email marketing costs. Seeking to leverage business analysis skills and technical background to grow in the new role of Data Analyst.
Highly-motivated to become a Data Scientist. Willing to learn fast. Looking for environment that supports professional growth and experienced colleagues to look up to. 

Test assignments are welcomed.
Position: Junior Data Analyst/ Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

I graduated from the Faculty of Applied Mathematics with an average grade of 92, was also participant and winner of various school olympiads and competitions on Mathematics, Informatics and Physics. In April 2021 I passed the IELTS exam and got band 7. I am also familiar with German language and have pre-intermediate certificate.
I know how to use Flask and SQLAlchemy, can deal with SQL. Moreover, I have good grasp of machine learning methods.
Projects:
- Image Captioning using Python (Keras) (03/2021 - 04/2021)
- Pneumonia detection using Python (Keras) (11/2020 - 12/2020)
- Fraud Detection using Python (02/2020)
- House Prices Prediction using Python (11/2019)
Courses:
- Introduction to Data Science in Python by University of Michigan and offered through Coursera
- Applied Machine Learning in Python by University of Michigan and offered through Coursera
- Applied Text Mining in Python by University of Michigan and offered through Coursera
- Deep Learning Fundamentals by IBM Developer Skills Network
- Neural Networks and Deep Learning by DeepLearning.ai and offered through Coursera
I'm looking forward to gaining experience and helping company reach new heights.
Position: Junior Data Analyst/Data Scientist
Category: Data Analyst
Experience: 2 years | English: upper

Obtained a master's degree in System Analysis at the National Technical University of Ukraine “Igor Sikorsky Kyiv Polytechnic Institute”

Licenses & certifications:
Mathematics and Python for Data Analysis, Coursera
Practical Time Series Analysis, Coursera Specialized Models: Time Series and Survival Analysis,Coursera
Upper intermediate level of English, Green Forest
I am an experienced and dedicated data analyst with two years of experience identifying efficiencies and problem areas within data streams while communicating needs for projects. I have a strong background in data analysis and a proven track record of delivering actionable insights that drive business growth.

Experience:
- Wrote SQL queries for developing new business logic, working with stored procedures and creating new stored procedures 
- Implemented ETL processes
- Merged data with existing data sets, careful to keep old data sets and documentation
- Worked closely with cross-functional teams to understand business requirements and provide data-driven solutions
- Researched and resolved data discrepancies with troubleshooting teams

- Worked with complex datasets
- Developed and supported automated reports and conclusions for decision-making using SQL
- Wrote a business requirements function (SQL)
- Analysis and correction of errors that arise when working with banking products
- Created interactive data visualizations and dashboards to convey complex data in a clear and concise manner
Interesting tasks, professional growth.
Position: Junior Data Analyst/Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

I think, that my biggest achievement is that I speak 6 languages: English, German, Polish, Spanish, Russian and Ukrainian.
I have no any relevant experience in Data since yet
but during my Requalification on Natural language processing with Python I have learned:
Part of speech tagging (POS)
Developing of named entity recognition
Sentiment analyser
Topic modeling (LDA/NMF)
Keywords extraction
Cosine similarity
Applying of machine learning algorithms:
language models (TF-IDF, Word2vec)
Naive Bayes Classifier, Random forest, Decision tree, Clustering
Feature extraction 
Neural networks (Dense, RNN, LSTM, CNN)
I'm looking for an internship. I have decided to combine my engineering background with my interests in linguistics, and as a logical step obtain proficiency in computational linguistics and natural language processing. From December 2020, I was diligently learning Python and libraries like spaCy, NLTK, gensim, and other text processing libraries and methods. Likewise, I learned about machine learning and how to train and evaluate models with scikit.learn and tensorflow.
Position: Junior Data Analyst / Engineer
Category: Data Engineer
Experience: 0.5 years | English: upper


Made Titanic and Ames datasets on Kaggle. 
Pet project > ETL with Airflow

Finished dozen courses in Python, Machine learning, NLP, statistics, and probability theory.  Degree in sociology.

Looking for a trainee vacancy at DS \ DE position.
Position: Junior Data Analyst , Junior BI Analyst, Junior Marketing Analyst
Category: Business Analyst
Experience: 0.5 years | English: upper

Achievements 1: Developed analytics increased the speed of calculating the necessary data in real-time, as well as significantly reduce the company's costs for sending products by its own transport.
Achievements 2: created a product shipment system, reduced the time for warehouse operations, and reduced financial costs by 28%.
I want to move to a new level of data analysis and business process management.
The best I can offer is my love for numbers, my dedication, my desire to develop and my desire to get the maximum result.
My main work experience is transport logistics and warehouse logistics. The main area of work data analysis.
Work with the delivery of raw materials and shipment of finished products, restructuring warehouse logistics, analyze the efficiency of delivery by transport companies and our own transport, formation delivery routes based on the transportation requirements,  establishing communication with colleagues and partners, organizing to get out of conflict situations with the least loss, work in conditions with tight deadlines and unforeseen situations. 
Taking part in the integration of IT solutions and work on organizing the supply of raw materials from China.
Taking an active part in establishing the chain of the logistics business-process raw materials-production-warehouse-delivery, assessing the risks and costs of production,  creating suggestions on the organization of control and quality of participants work's in the sales chain, assessing the effectiveness of the results. 
I am able not only to visualize data but also to provide it competently to the manager.
Skills
Excellent skills in MS Excel, Querying and managing data SQL, Basic knowledge of Phyton, Google Analytics, Experience with Tableau, Experience in MS Office, 1С8, Upper - Intermediate level of English, Strong analytical skills with the ability to collect, organize, analyze amounts of information, Proactive and self-starting, results – oriented, Innately curious, always on a search for answers, Organize data in an easily understandable format using.
Data processing, analysis, gaining new experience, and development. In return, I can offer high-quality productive work, high self-organization, purposefulness, full dedication to work, and results.
Position: Junior Data Analyst/ Junior Business Analyst
Category: Other
Experience: 11 years | English: intermediate

Goggle Data Analytics Certificate (by Coursera, July-2021)
I'm looking for an opportunity to take the Junior Data Analyst or Junior Business Analyst position. 

Since January 2020 I've been studying and developing in the field of data analysis.
  
I have 26 years of total work experience in different fields and in various positions: b2b, b2c, ran my own business (not IT field) for 19 years.
Position: Junior Data Analyst,Junior Business Analyst, Junior Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I`m very interested in Data Science/Analysis and Machine Learning positions. This year I`ve got bachelor`s degree in Aplied mathematics at Taras Shevchenko National University of Kiev. Also this year I`ve finished Advanced Data Science & Machine Learning course, and two Tableau courses. I really want to build a career in this field, so I`ll very apreciate if you concider my candidature.

My skills:
- math background, good at statistics, probability theory;
- experienced in SQL;
- strong knowledge of MS Excel;
- hands-on experienced in Python: NumPy, Pandas, PyTorch, Scikit-learn, etc;
- experienced in Tableau Desktop (certified intermediate level course);
- Maple, Matlab;
- basic: C++, HTML5, CSS;
- English: Upper-Intermediate.

I have an experience in preprocessing data and analysis of that data, different visualizations for analysis, reporting, A/B Testing, ROC-curve, AUC-ROC metric. As trainee in Data Scientist & Machine Learning I have hands-on experience with Linear Regression, Logistic Regression, Computer Vision(image classification, object detection,semantic segmentation-mostly theoretically knowledge, a bit practice) , CNN (LeNet, AlexNet, VGGNet,ResNet, DenseNet), RNN, LSTM, ML Algoritms ( Naive Bayes, SVM, Desicion Tree, K-Means Algotitm, DBSCAN, PCA & T-SNE), Collaborative filtering.

For now I don`t have comercial experience in that field, only self-practice and self-studying, a few test tasks. But I really want to start a career as Junior Data Analyst or Junior Data Scientist, ready to do test.
Position: Junior Data Analyst, Junior Data Scientist
Category: Data Science
Experience: 0.5 years | English: pre

• Experience with Python(Pandas, Numpy, Matplotlib,
Seaborn, Sklearn)
• Experience with MySQL
• Experience with Tableau
• Exploratory data analysis
• Data cleaning 
• Feature engineering
• Data Visualization
• Creating Machine Learning models 
• Descriptive and inferential statistics
• House Price Regression
• Customer Churn Analysis
• Customer Segmentation
• Market Basket Analysis
Position: Junior Data Analyst, Junior Data Scientist
Category: Data Analyst
Experience: 0.5 years | English: upper

I'm a fast learner, very driven, and eager to learn and work.
I worked in aviation, have an economic and aviation education, both MSc.
MSc Aviation Transport.                               
MSc in Economics and Business Administration.
Worked in aviation as a flow management position engineer. Used SQL, MS Excel, Power BI.

In 2023 received specialization - Data Analyst, by completing the program from IBM, consisting of 9 courses for specialization. 
Earned IBM Data Analyst Professional Certificate (on the platform Coursera), also received a digital badge from IBM to confirm its veracity.
Courses in 2022-2023 (fully on LinkedIn):
- IBM Data Analyst Professional Certificate
- IBM Python for Data Science,AI and Development
- IBM_Python project for Data Science
- Python A-Z: Python For Data Science
- IBM Databases and SQL for Data Science with Python
- Microsoft Excel: Business Intelligence w/ Power Query & DAX 
- Probability and Statistics for Business and Data Science 
Studied at the university:
higher mathematics, statistics, probability and maths statistics, mathematical models in economics, economic analysis, informatics, project management, business planning.
Position: Junior Data Analyst / Marketing Analyst / HR Analyst
Category: Data Analyst
Experience: 0 years | English: upper

All my achievements in the field of analytics are still ahead of me.
I`ve successfully completed a five-month course in Data Analysis, where I improved my skills in Google Sheets, and acquired skills in working with SQL, Looker Studio, BigQuery, Google Analytics, Tableau, PowerBI, and Python.

During this course, I was involved in the following projects:
1 - Gaming Industry. I conducted an analysis of user profiles for each game in the project, as well as overall user activity. Metrics include Revenue, ARPPU, Conversion Rate to Paid, DAU, WAU, etc.
2 - Ads analysis. I investigated an analysis of the performance of the conducted advertising campaigns using such metrics as CPC, CPM, CTR, ROMI, amount of clicks, and so on.  
and others.
I aspire to contribute value to businesses, so I'm changing my career path to become an Analyst. I'm looking to join an international company where I can enhance the skills I've recently acquired.
Position: Junior Data Analyst /Marketing Specialist
Category: Marketing
Experience: 1.5 years | English: upper


2022 Fundraising Specialist
· monitoring short/long-term funding market 
· working with documentation 
· monitoring projects’ results
· collecting and processing data
· writing reports
2021 Internship 2 months. Media Assistant
· monitoring and analyzing the startup market
· working on social media content plan and monetization formats
2020 Internship 2 months. Digital Journalist
· promoting the EAM cluster development projects
· editing press releases
· creating content for a website and social media 
· managing email campaigns 
2018-2020 – Teaching activities

Basic knowledge of a communication strategy: identifying the target audience/message/methods, evaluating the strengths and weaknesses of content distribution channels, market research, creating content plans, and anti-crisis policy.
Position: Junior Data Analyst / Product Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate


Intern Product analyst
[march 2023 – june 2023] 
- building dashboards 
- working with data collection
- working with metrics
- analysis of the use of the product by users
- working with product and marketing data

practical course "Data Analytics"
[december 2022 – currently]