lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

In 2019, won the Regional Olympiad in Excel/Word/Access among college students, also graduated from college and university with honours.
Reached the top 10% of university graduates.
As a digital economics graduate and lifelong learner, I'm deeply interested in data analytics. With a strong background in Excel (4+ years) and a passion for working with data, I have completed courses in SQL, Tableau, R, Python to expand my skills.

Google Data Analytics Certificate:
Learned how to analyze data, ask SMART questions, and make data-driven decisions.
Explored different data types and how to collect and prepare data for analysis.
Developed skills in data cleaning and transformation.
Deepened understanding of data analysis using SQL and Sheets.
Comprehended how to validate data and test hypotheses.
Acquired how to visualize data effectively using best practices and tools like Tableau and storytelling with data.
Applied R for data exploration and statistical analysis.

Project for Private Enterprise:
Digitized accounting department reporting using Excel aggregation and array formulas, reducing paperwork by 50%.
Transformed business processes yielded a 400% increase in time savings.
Automated reporting to help prevent human errors in data, reducing errors by 90%.
Generated valuable insights for decision-making by visualizing profit in reports.
I am looking for opportunities to enhance my career, professional development and personal growth in the Data Analytics field.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


As a Graduate Research Assistant at Benel Energy Resources, I successfully developed and 
coded several mathematical models, cleaned messy data and visualization with python. My work helped the team resolve a knotty mathematical barrier in the proposed research area and closed-out research deliverables. I have worked with a wide variety of software and tools, including Python, SQL, Excel, Word, Powerpoint and PowerBIPro
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


As a junior data analyst, I have a background in civil
engineering and team management. Interested in
working with real data and proficient in collecting,
analyzing, and mining information to gain insights to use
for decision-making.

Data Analyst - New parts
May 2023 - Present
I am a dedicated Data Analyst at New Parts Inc, responsible for analyzing and
interpreting diverse invoices daily. My role involves conducting in-depth
investigations, merging data, generating insightful statistics, and creating
compelling visualizations. Additionally, I excel in identifying and addressing
negative data, ensuring accurate and easily understandable reports using Excel
and Power BI."
Wevify LLC - Intern/Assistant Data Analyst
August 2022 - February 2023 | Podgorica, Montenegro
I analyzed industry trends, identified potential clients, and gathered insights
about their needs and pain points. This involved analyzing data from online
sources, industry reports, or customer surveys. Data cleaning and
preprocessing: I prepared datasets for analysis by cleaning, transforming, and
merging data from various sources. This involved removing duplicates, filling in
missing values, and standardizing data formats.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


As a Junior Data Analyst, I have experience in data analysis, visualization, and manipulation using tools
such as Excel, SQL, Python and Power BI. I am proficient in analyzing large data sets and discovering
trends and patterns that assist in making business decisions. In addition, I have excellent communication
and presentation skills, allowing me to effectively communicate insights and recommendations to
stakeholders.

Work Experience
- Taras Shevchenko National University of Kyiv, 2nd year of study
work for a non-profit organization
 Project: SQL query optimization
 Technologies: PostgreSQL, SQL, Python.

Pet-projects
- Tracking key application performance metrics:
The project combines the use of Python to upload data, PostgreSQL to store data, SQL to calculate
metrics, Google Sheets to create a summary table, and Power BI to visualize data and create reports.
- US-States GDP report:
In those dashboards, I utilized Power BI to analyze the GDP, GDP per capita, and other financial
metrics of US states.
- IT technology project:
The project discussed the possible implications of statements related to the IT technology industry.

Skills
- SQL (PostgreSQL, MSSQL, MySQL)
- Power BI (Power Query, DAX), Cognos Analytics
- Excel (Google Sheets): VLOOKUP/HLOOKUP, Pivot tables
- Python: Pandas, Matplotlib, Numpy, Psycopg2

Education
Taras Shevchenko National University of Kyiv (2021-2025)
Specialty: Computer Science

Additional Education
Courses
Davidson: Analyzing and Visualizing Data with Power BI 
IBM: SQL for Data Science 
IBM: Python Basics for Data Science 
IBM: Analyzing Data with Excel 
IBM: Data Visualization and Building Dashboards with Excel and Cognos 
IBM: Analyzing Data with Python 
IBM: Visualizing Data with Python 
IBM: Data Analyst 

Languages
English – Upper-Intermediate
Polish – Pre-Intermediate
Ukrainian – Native
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


As a junior data scientist and later on data analyst role at Anbessa sports bettings, I had the opportunity to work on a variety of projects that allowed me to develop my skills and expertise in data analysis and business insights. One of my primary responsibilities was to analyze betting patterns of global betting operators in order to identify trends and areas for improvement.
To accomplish this task, I used a range of tools and techniques, including statistical analysis and machine learning algorithms, to sift through large datasets and extract valuable insights. I also worked closely with other team members to identify areas where current systems and processes could be optimized, and I contributed to the development of new strategies and approaches that helped to improve the overall efficiency and effectiveness of the company's operations.
In addition to my analytical work, I also played a key role in monitoring betting markets for trends and changes that could impact the company's performance. This required me to stay up-to-date on the latest industry developments and be proactive in seeking out new information and data sources that could inform our decision-making.
Finally, I assisted with the compilation of analysis and reports that were shared with key stakeholders within the organization. These reports were designed to provide a clear and concise overview of our findings and recommendations, and I worked to ensure that they were presented in a way that was easy to understand and actionable for the company's leadership.
Overall, my experience allowed me to gain valuable skills and insights that I believe will be highly applicable to a range of roles and industries. I am excited to bring my skills and experience to a new challenge and contribute to the success of a dynamic and forward-thinking organization.
As I search for my next career move, I am excited to find positions that will challenge me and allow me to build upon my skills and experiences. However, there are certain aspects of a job that do not align with my interests or career goals.

I am not interested in positions that do not offer opportunities for meaningful contributions, growth, and professional development, or a positive and collaborative work environment. I am a fast learner and thrive in environments where I can learn and develop new skills, and I believe effective teamwork and communication are essential to achieving success in any organization.
Position: Data Analyst
Category: Business Analyst
Experience: 1 years | English: fluent


As a Junior Information Security Specialist in a banking industry, I've streamlined security control reporting by devising an arithmetical evaluation method based on predefined metrics. I've automated data retrieval for reporting and created both department-wide and specialized dashboards for enhanced visibility into security controls.

During my role as an Innovation Lead Intern at the SEB Innovation Center and University of Tartu, I conducted user research to identify student needs and crafted a comprehensive requirements specification document. I successfully managed the project schedule and stakeholders to deliver effective solutions.

Moving forward, I aim to further excel in data analysis (in Cyber/Info Security field primarily), utilizing emerging technologies for advanced control assessment, while enhancing my innovation and project management skills to drive impactful, user-centered solutions.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


As a labor market analyst I have extensive experience in conducting labor market surveys in Ukraine (including preparation of questionnaires, data collection, data analysis, preparation of analytical reports and benchmarking analysis based on the reports). Together with my team we successfully conducted more than 18 quarterly labor market surveys, 11 annual salary surveys and market trends overviews within deadlines. 

Also, as a senior specialist, I took great pleasure in mentoring my subordinates, organizing the work of the team, planning work on our projects and monitoring their implementation.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


As a Middle Data Specialist at REACH Initiatives, I specialize in building mobile data collection tools and ensuring the quality of the collected data through a set of data cleaning and checking procedures. My expertise also lies in analyzing collected data using Excel, R or Python and presenting results in a form of static and/or interactive visualizations in Power BI and Tableau. 

In my current role, I have completed several projects on a managing position within the UNHCR missions, including data cleaning and analysis tables using R scripts, a Power BI dashboard with eight rounds of data collection, and an OpsMap dashboard. Each round of data collection is aimed to monitor and analyze 1500-2000 collective sites in Ukraine, which results in improving the quality of life and common welfare of internally displaced people.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent

Different scientific project, big python experience in different spheres.
As an active participant in various university events, I have gained valuable experience while showcasing my leadership skills. I have successfully completed projects utilizing Python, including an in-depth analysis of Netflix data and an exploration of the history of the Scala language on GitHub. With fluency in both Spanish and English, I possess excellent communication skills that facilitate effective collaboration within diverse teams. I am passionate about acquiring new skills and thrive in a team-oriented work environment.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


As an analyst at the research division (1.5 years), I:
- assisted in projects to estimate regional economic activity using alternative data sources (satellite imagery, web-scraped news, Google Trends)
- used R, Python, SQL, Stata, and Tableau to analyze, model, and visualize data

Additionally, I have experience in IT by developing a .NET Web-API product (using C#, HTML-CSS-JavaScript, SQL). 

I enhanced product analysis knowledge by taking online courses from GoPractice, SQL habit, and DataCamp.

Minor in Data Analysis: advanced statistics, econometrics, visualization, databases.
I'm looking for a work environment that encourages creativity and collaboration.  I'm eager to learn new skills and take on new challenges that will help me grow as a professional.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


As an entry-level data analyst, I have a strong educational background (MSc.) in Data Science and extensive experience in the technologies and tools used in the field. My studies and experience have provided me with a deep understanding of data analysis, management, and privacy regulations, and I have developed a proficiency in various data science technologies such as Python, Power BI or SQL. Additionally, my prior experience in the IT sector has equipped me with the necessary skills to manage and analyze data effectively, making me a valuable asset to any data science team.
Creative team to work together towards one goal
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent


As an environmental analyst transitioning to a data analyst role, I bring a strong background in analyzing environmental data using tools like Excel and Power BI. Over the past 2 years, I have effectively utilized these tools to extract meaningful insights and drive informed decision-making.

In addition to my proficiency in Excel and Power BI, I have expanded my skill set to include working with databases such as MySQL and PostgreSQL. I have successfully queried and analyzed data from various sources, including sales and finance datasets. By calculating key business metrics and performance indicators, such as profit and loss, net sales, net profits, and sales performance reports over multiple years, I have demonstrated my ability to derive actionable insights from complex data sets.

Through my experience in working on sales and finance projects, I have developed a deep understanding of business operations and the factors that drive success. I have identified trends, patterns, and correlations within the data to uncover growth opportunities, cost-saving measures, and areas for improvement. By presenting these findings in clear and concise reports, I have effectively communicated insights to stakeholders and supported strategic decision-making.

Furthermore, my ability to work with databases has allowed me to efficiently manage and analyze large volumes of data. I have developed expertise in data cleaning, transformation, and integration to ensure data integrity and accuracy. By leveraging database querying capabilities, I have conducted advanced analysis and built interactive dashboards to provide stakeholders with real-time access to key metrics and performance indicators.

Overall, my experience as an environmental analyst with proficiency in data analyst tools like Excel and Power BI, coupled with my knowledge of databases and experience in sales and finance projects, positions me as a highly skilled and versatile data analyst. I am equipped to leverage data-driven insights to support business growth, improve operational efficiency, and drive informed decision-making
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


As an experienced Data Analyst, I have completed a series of projects and tasks throughout my career, showcasing my versatility and expertise in the field. Noteworthy achievements include analyzing customer behavior data to optimize marketing strategies, developing predictive models to forecast sales trends, performing web scraping to gather and process large datasets, and creating interactive executive dashboards for comprehensive reporting.

When it comes to technology, I possess a diverse skill set encompassing various tools and platforms. I am highly proficient in SQL, which I effectively utilize for data querying and manipulation. Python is my go-to language for data cleaning, analysis, and scripting, while Power BI empowers me to present data in visually appealing and insightful ways. Furthermore, I have a strong command of statistical analysis tools such as R and Excel, enabling me to perform advanced data modeling and hypothesis testing.

In my current role, I hold the position of Lead Data Analyst within my team. This entails overseeing data analysis projects, collaborating closely with stakeholders to understand and address business objectives, and providing guidance to a team of analysts to deliver data-driven solutions that yield valuable insights. By actively participating in cross-functional meetings, I contribute to the development of data-driven strategies that drive organizational growth.

Looking ahead, I am deeply committed to advancing my skills in machine learning algorithms, further enhancing my ability to uncover meaningful patterns and trends within data. Additionally, I aim to deepen my understanding of cloud-based analytics platforms like Google Cloud and Amazon Web Services, harnessing their capabilities for enhanced data processing and analysis. Furthermore, I aspire to strengthen my expertise in data engineering, enabling me to proficiently handle and process large-scale datasets while constructing robust data pipelines.

Overall, my professional track record exemplifies my proficiency in delivering high-quality insights through data analysis. I am steadfast in my pursuit of continuous growth and actively seek opportunities to expand my skill set, thereby making meaningful contributions to the success of data-driven projects.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


As an experienced developer, I specialize in creating impactful Power Apps and Power BI solutions. I have a deep understanding of business processes and the ability to identify key scenarios for developing comprehensive solutions that enhance a company's operations and success.

In my previous experience, effective collaboration with colleagues and clients has helped me clearly explain technical aspects to align projects and meet their needs. My flexibility in development allows me to continuously improve solutions based on feedback received.

My skills in data analysis, preprocessing, and automation using Python help me derive valuable insights and improve workflow efficiency, leading to informed decision-making.

I prioritize adherence to industry standards to ensure data reliability and security.

I value diverse perspectives and integrate feedback to create innovative solutions that drive business growth and success.

Overall, my skillset includes Power Apps, Power BI, data analysis, data preprocessing, automation, and compliance with industry standards. Thanks to these skills, I contribute to making informed decisions and developing businesses. I am delighted to collaborate and dedicated to delivering high-quality results.

I also keep up with the latest technology trends and continuously expand my knowledge. Currently, I am actively exploring the possibilities of Azure and AWS for data storage, processing, and deployment. I am interested in the latest developments in Machine Learning, Artificial Intelligence, and Data Science, which expands my skill set and helps me find even more innovative approaches to solving tasks. My goal is to create the best solutions and help businesses grow and prosper.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


As an experienced Python developer, I have worked extensively with popular data science libraries such as Pandas and Jupyter Notebook. My proficiency in these tools has allowed me to effectively manipulate and analyze complex datasets, and present my findings in a clear and concise manner. Additionally, I have experience in developing machine learning models using popular frameworks such as Scikit-learn and TensorFlow. I am adept at selecting the appropriate algorithms for various problems, and tuning the models for optimal performance. My ability to work with these tools has allowed me to deliver valuable insights and solutions to various business problems.

In addition to my technical skills, I have experience in using Power BI to create interactive visualizations and dashboards. My expertise in data analysis and visualization has enabled me to effectively communicate complex data insights to both technical and non-technical stakeholders. I am able to create custom reports and dashboards that are tailored to the specific needs of the business. My proficiency in Power BI, combined with my technical skills in Python and machine learning, make me a valuable asset to any team looking for a data-driven problem solver.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

* High efficiency in processing the ad-hoc requests (based on internal KPIs)
* mentoring new joiners (Buddy)
As a part of data team I was responsible for creating dashboards for audit. My responsibilities: to contact with client to clarify requirements, to transform data, load the data in database, preparing necessary report, uploading the data in audit visual tool.
I woke with T-SQL, Excel, Alteryx.
Also, I am interested in using Python, so I am passing the course on Udemy.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


As a QA Engineer:
Responsibilities:
• Web based testing
• Creating test plan, test cases and bug reports
• Regression testing
• Daily stand up meetings
• Identifying important and critical issues to track and report about 
to internal teams
Knowledge of SDLC, STLC;
Skills:
• Knowledge of different testing methods, techniques, and types;
• Basic knowledge of HTML/CSS and SQL;
• Understanding of mobile/web app testing peculiarities
• API testing with Postman
• Basic knowledge in automation testing (Cypress)

Also worked as a Team Lead in Clario
My responsibilities:
Building a strong team
Coaching newcomers
Successful brainstorms to improve workflow and optimize company processes
Involvement in new projects
1:1 meets with agents
Meets with team to discuss further actions
Analysis of work processes
Control workflow on shifts
Weekly meets with Head of department to report progress
Successfully finished course "Management School" (21.05.2021 - 25.06.2021)where improved such skills as:
Team and people management
Communication
Empathy
Public speaking
Conflict management
Time management
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: pre


As a recent graduate in data science, I have developed a strong foundation in statistical analysis, data visualization, and programming, and I am eager to apply these skills to real-world business problems.

During my work experience and courses, I gained extensive experience in data analysis and visualization using tools such as Python, Power BI, SQL, and Tableau. I also completed several data analysis projects, which required me to collect, clean, and analyze large datasets to extract meaningful insights. Through these projects, I developed excellent problem-solving skills and the ability to work effectively in a team.

Additionally, I have experience working with stakeholders to identify business requirements and translate them into actionable data insights. I am confident that my technical and communication skills make me a strong candidate for this position.