lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Science
Experience: 1.5 years | English: intermediate

• Introduced a new company to the online insurance market with the main idea of ​​"insurance in one click" (just enter the car number and get the whole calculation). For the insurance holding Salamandra.

• Developed and implemented a system of planning and forecasting advertising activities in marketing proccesing, for an insurance startup holding Salamandra.

• Increased the number of hot leads for the Miritek sales department by x2.

• Introduced the main product of Miritec to the Polish market and brought to company first contracts from this region.

• Created a marketing department for Electronoff.

• Achieved a leading position and recognition of Electronoff in its niche.

• Increased the revunue of the Electronoff online store by x3.
I have 7 years expirience in digital marketing,  product IT, insurance, e-coomerce, where i was marketing team lead or marketer. There i was good in marketing research,  pruduct/brand strategy, clients roadmap, sales funnels and in implementing  LTV, CAC, ROI, ROMI, CR and other advertising metrics.  

But im choosed new direction on my proffesional career. With all  achievement in marketing, im sure that, i should be effective in data analysys, and i have big desire participate and progress.

In 2021 im was study data analysys in Yandex practicum, where got skills in Python (Pandas, Numpy, Math, Seaborn, Matplotlib, Scipy, Plotly), SQL, Power BI, A/B, A/A/B testing, Hypotheses testing, Cohort Analysys, Basic Probability Theory, Basic Statistics...

My desire to near future - concentrate in this new way and become strong in analysys, using and increase all those skills.
Im looking for company where i get chance to progress and grow as professional. I want working whith Python, not only SQL. And i ready for hard learning and hard working :)

As mid-term result i want growing in skills, in finans and  time, for my true life (selfgrowing, hobbies, traveling etc..)
Position: Data Analyst
Category: Data Science
Experience: 8 years | English: fluent

Tracking system creation, elaboration, and maintenance: from event topology and tracking structure creation to developing technical documentation to implementation control. As a result, all the meaningful user and event data was being collected and processed project- and platform-wise for all the company’s projects 
    Creation of a comprehensive, user-friendly report system (intuitive and flexible web interface+SQL, condition-based email notifications) that resulted in automating 80% of data processing and report creation, directly and instantly providing the users (both internal and external) with information they need through dashboards and custom-tailored reports
    Introduction of  data-driven feature design approaches, transition from intuitive to fact-based design with measurable results.
    Implementation of machine learning algorithms  for solving business problems - issue detection, churn prediction, content evaluation, and user segmentation.
I have 8+ years of experience working as a data analyst/data scientist in software development companies - both game development and B2B -  and about as much in other industries on analyst and management  positions.

This includes:

Data acquisition and processing.
Data visualization.
User behavior analysis and modeling
Creation and automation of  BI and report systems
Churn and conversion prediction with machine learning
Performance analysis
Anomaly/issue detection.
Team management.

Also, I have successfully managed a department of 20+ employees (government sector, not IT-related), having introduced and implemented new project-oriented department structure along with planning and control system
Professional growth. Teamwork. Socially beneficial project would be a huge plus.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

I am interested in and study information design. I believe that, in addition to the quality of information, the correct coverage and presentation of information for the end user is equally important.
I have about two years of experience in IT as a business(data) analyst in one of the largest companies in Ukraine. My work is related to tracking and reporting on the company's P&L, working with a set of MS tools (Excel, Word, PP), Google (Sheets, Slides), and BI tools (Looker).

Extensive and big experience (10 years) in teamwork, working with people, and the human factor.
Experience in dealing with large amounts of information under pressure.Ability to set priorities.
Experience with human resources and the ability to make quality use of human and other resources.
Basic knowledge of computer science and networking.

Honest and open person, with rich and divorce experience. I want to learn and discover something new.
Collecting, analyzing, and summarizing the data necessary to identify trends and patterns, and then providing recommendations for business actions. Working with different types of data (P&L, Labor costs, Expenses, etc.).Working with large amounts of information (we support the activities of about 1000 people). Among the achievements, I can mention the introduction of BI tools in the daily work of directors, as well as the simplification and automation of monthly and quarterly reports.

Key Responsibilities:
- providing reports through office applications to improve business processes
- collaborating with team members for the purpose of collecting data and executing the company’s mission
- creating and maintaining documentation that includes the design, requirements and user manuals for the organization
- identifying the development needs for the purpose of streamlining and improving the operations of the organization for efficiency and profitability
- collecting and analyzing distributed data from a large group of people (about 100 documents from different managers)
- regular data auditing, error detection (automatic, semi-automatic, and manual), correction, or pointing to errors.
- Export, import, and integration data
- consolidation of data from multiple sources, conversion to BI-friendly format
- the creation of automatic reports for daily use, as well as for regular presentations, based on Google Data Studio (Looker)
- Assistance in implementing similar tools in other departments of the organization
Position: Data Analyst
Category: Data Science
Experience: 2.5 years | English: upper


I have advanced experience as a Data Scientist, especially Data Analysis. Throughout my career I have worked in several companies, using various tools to implement EDA, generate visualizations, reports, dashboards etc., such as Python, R studio, SQL, SPSS, Tableau, Excel. I'm very passionate about finding insightful information from a simple dataset and using those to further understand and solve problems.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: pre

I have a higher education in economics and finance, while studying at the university, I wrote a statistics course where I did everything that data analysts do now (calculated average deviation variances, checked the validity of hypotheses and derived regression equations with the corresponding construction of graphs). My technical skills include Python (Pandas, SciPy, Mathplotlib, NumPy), MySQl, PostgreSQL, MS-Excell, Tableau, Git, Docker, Statistics, Higher. mate. I have a research project on the connection and impact of the average annual discount rate of the NBU on the Consumer Price Index using Python and its libraries in the field of statistics and data science. 
I also created a bot in Python that gives the rate of precious metals
I have a higher education in economics and finance, while studying at the university, I wrote a statistics course where I did everything that data analysts do now (calculated average deviation variances, checked the validity of hypotheses and derived regression equations with the corresponding construction of graphs). My technical skills include Python (Pandas, SciPy, Mathplotlib, NumPy), MySQl, PostgreSQL, MS-Excell, Tableau, Git, Docker, Statistics, Higher. mate. I have a research project on the connection and impact of the average annual discount rate of the NBU on the Consumer Price Index using Python and its libraries in the field of statistics and data science. 
I also created a bot in Python that gives the rate of precious metals
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: fluent


I have analysed several research data in education setting, I have worked with python, excel, SPSS, jupyter notebook, pandas library, and sci-py.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate


I have an experience in a retail, skills in commercial and promotional analytics. Familiar with the main logistics processes. Also have an experience as product owner (retail, promotional). 

I'm looking for a job where I can apply all my best analytical and lidership skills.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


I have an experience of working as Analyst in  Energy company (electricity production, energy trading). Compilling reports, presentations, visualisation for management of the company, working with ETRM systems ENDUR and Allegro. . In 2023 I’ve finished IT courses in Data Analysis and obtained new skills in SQL, Phyton, Looker Studio and Tableau.
I can do KPI analysis, presentations, visualisation, dashboards and if there is a need I can master new skills
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

- Bachelor of Business Administration (Graduate of 2019)
- Microsoft Certified: Power BI Data Analyst Associate
- Certified Python Programmer - [PCEP-30-02]
- Data Analyst with Python Track (DataCamp)
- Work and Travel program experience at USA
- Google Analytics Individual Qualification
- Business Strategy Game winner (Jan 2017)
I have around 5 years of experience in different industries including telecommunications, healthcare, life insurance and railways transportation as a Data Analyst. I am also Microsoft Certified Power BI Data Analyst.

 Main tools that I have work experience:

- Power BI
- Python (pandas, numpy, seaborn, scikit-learn, statsmodels)
- R (data.table, dplyr, caret, xgboost, lubridate)
- SQL
- Tableau
- DBT
- Google Cloud Platform (BigQuery)
- Looker (lookml) / Looker Studio
- Microsoft Excel.

Main accomplishments:

- Designed the data model by using the various ETL tools of Power Query and created reports and dashboards to track main company KPIs by utilizing advanced calculations, parameters, maps, groups and hierarchies (Power BI, Tableau)

- Built and maintained ETL pipelines by using DBT, GCP, BigQuery cloud technologies and create analytical dashboards in Looker/Looker Studio

- Implemented data hygiene measures and practices across large data sets like data cleaning, deduplication, data quality measurements in a fast-paced agile startup environment (SQL, Python)
- Prepared churn model which could predict 78% of churners 4 months in advance by using Xgboost, Balanced Random Forest, SVM and KNN algorithms in ensemble model

- Segmented all customers into 7 distinct segments by using k-means algorithm on which CVM team could launch different campaigns depending on each segment’s main KPIs

- Automate different sales and marketing related reports to run on a daily/monthly basis by using Python, R and SQL languages

- Became advanced user of analytics tools for making analysis and also automated various reports to run them on a daily/monthly basis (Python - pandas, numpy, seaborn, R - dplyr, data.table, openxlsx, lubridate)
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate

- course "Power BI" by LABA (with DAX) (Oct 2021)
- course "Interactive SQL Trainer" by Stepik (Nov 2021)
- course "JavaScript Essential" (May 2018)
I have around 6 years of experience working for different companies as an analyst. I can analyze data using Excel including pivot tables, pivot charts, trend analysis, visualization and business insights. I can work with programs such as 1C, SAP, Power BI and others. I have good communication skills and can work in a team, and I am able to work in a multi-tasking environment. I'd like to start working in IT field to use my knowledge in SQL, Power BI/Tableau and data analysis.

5+ experience as a sales analyst/economist
All possible variations of reports in Excel (formulas, pivot tables, graphs):
-analytics (reporting on the fact, forecasting)
-forecasting (operational planning monthly, annual budgeting)
-P&L
Basic knowledge:
-SQL
-JavaScript
-CSS
-HTML
I have experience as a user with programs:
-SAP
-Qlik view
-1C
-Power BI
Experience as a report developer:
-Microsoft Power Query
-Microsoft Power BI (dashboards, DAX)
-Microsoft Access
I want to develop in working with data
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: intermediate


I have a solid background in financial data analysis and reporting for more than 6 years. Currently, I am working in the Banking sector as Management Information systems Senior Specialist. I am proficient in using Microsoft Excel, MS SQL Server, and Power BI. In addition, I am studying Phyton 3. I participated in tons of projects and tasks related to data analysis and reporting.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

Technical skillset:
Operating System: LINUX, Windows
Programming Language: Python
Python libraries: NumPy, pandas, Matplotlib, Seaborn, Selenium, PyMongo, hashlib
Markup Languages: HTML, CSS, XML, XPath, CssSelector.
Database: MongoDB, SQL
Programming tools: Pycharm, Jupiter Notebook
Project management tools: Jira Software/ServiceDesk/Confluence, Trello, Slack
Marketing tools: Google Ads, Facebook Ads, GA, Semrush, Hotjar, Mailchimp, GoogleForms, SurveyMonkey,
Typeform, Canva, Photoshop, Illustrato
I have a strong background in data analytics and programming, with experience in a variety of tools and technologies such as Python, SQL, MongoDB, and Tableau. I worked on projects involving web analytics, digital marketing, data science, and automated testing. Demonstrated strong problem-solving skills and the ability to analyze data and provide insights and recommendations to support product and marketing teams.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I have a strong foundation in Python programming, with good knowledge of Django and SQL, and I am comfortable working with different useful Python libraries to deliver exceptional customer experience. 
Additionally, I have deep understanding of data processing and the ability to extract valuable insights from it, leveraging my background in accounting and economic education. I have effectively utilized tools such as Python, SQL, Excel, and Power BI to process and visualize large volumes of data. 
I am seeking an opportunity to apply my knowledge and dedication to create innovative solutions and drive project success.
Position: Data Analyst
Category: Data Analyst
Experience: 6 years | English: upper

• Building an effective team of analysts in a law firm.
• Creation an app to estimate the probability of winning in court.
• Increase in the number of attracted customers by more than 20%.
• Creation of applications to speed up the routine work of staff.
• Creation of a telegram bot for quick access to the client base by responsible employees.
I have a wide range of experience in databases, information search in open sources and social 
networks, as well as in the formation of conclusions, their visualization and the preparation of analytical reports.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

As an analyst:

- developed and implemented the company's products with analytics of insurance programs, which were more informative, interactive and understandable than those of competing companies, which became one of the important factors in increasing the company's client portfolio - 3x and revenue - 5x.

- designed informative dashboards using Tableau and Piktochart to visualise the statistics of insurance programs usage by the clients and dynamics of insurance payments (unprofitability of the contract)

- developed a system for analysing the financial stability and actual solvency of partner insurance companies

- provided signing new partnership agreements with 10 insurance companies/brokers in Europe, Asia and Africa and managed all projects for insurance of the company's clients abroad.

- developed a knowledge base for account managers, BD managers and junior analysts with a simple explanation of complex insurance terms and how the methodology for calculating the cost of an insurance payment works

- interviewed, onboarded and coordinated a team of junior analysts and CRM specialists.

As a business development manager:

- implemented signing new partnership agreements with 15 insurance companies to develop a new line of business

- led the implementation of the project to create a database of potential customers to enter a new market

- coordinated new market research

- developed a strategy for cold and hot sales - negotiation script, design and semantic content of the presentations

- provided the signing of 120 new agreements in the new market

- increased the contract renewal rate with existing customers from 70% to 90%
I have a year and a half experience as an analyst and more than year as a business development manager in a brokerage insuranse company. 

Specialized in providing various types of analytical expertise for the company's clients during the insurance tender and developing the company's activities in new markets as well.

Consolidated analytical expertise in comparison of insurance programs resulted in a full-fledged product, which was gradually refined and improved. This product was more informative, interactive and understandable than those of competing companies (according to feedback from a clients with experience working with competitors), which became one of the important factors in increasing the company's client portfolio and revenue.

Today I see my further development in working with data and product. I believe in the Data-driven decision-making model for product development and company management as a whole.
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


I have bachelor and master degree in Computer Science. Recently graduated. I have 1+ years of experience in Machine Learning and Data Science. Mostly involved in Computer Vision projects such as Sign Language Recognition System. I consider myself enthusiastic learner and ready to work on variety of projects.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

The forecasting, data handling and visualization was a real mess when I started as an RTA and I am responsible for most of the improvements and dashboard (although everything is in excel, which is not the best approach in my opinion).
I have been a Real Time Analyst for the last 2+ years, the last year of which I worked as a team lead (me + 3 other RTA). My work mostly involves Excel, creating reports with visual aspects of different complexities, dashboards with excel and some basic forecasting.

I also have some solid Python experience, I started with web development and had relative success there, but always considered this as more of a hobby.

While working as an RTA I decided to pursue Python in a more data analitycal way and focused on Matplotlib, Pandas, Seabor, etc. But I never really had an opportunity to use my skills professionally on a larger scale, like forecasting for example since there was already a system in place that was working quite well.
I'm interested in a job where I can work more with data, like forecasting, data visualization, data structuring, or programming in general. I'm opened to learning and interested in it. Ideally the job would be part time.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


I have been a virtual assistant to more than 20+ companies and startups, using Microsoft 365 to get the task done in the right and precise period. I'm working as a Business Analyst and Data Analyst in at least 4 NGOs organizations and I'm looking forward to a mutual and beneficial collaboration with any individual or organization for a better contract and deal.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

One of my most significant accomplishments is using modern technology and statistical techniques to transform data into useful information.
I have been doing Data analysis projects for more than a year now. I am familiar with the data analytics process; Asking the right question, Preparing data, Processing data, Analysing data to answer research questions, Sharing the data through the art of visualization, and Acting on the insights obtained from the data analysis project. I have used data analysis tools such as Excel, Python, MySQL, Tableau, and R to complete projects. I have done Data cleaning, EDA, and Visualization projects.
I look forward to working with this great platform to get entry-level data cleaning, analysis, and visualization jobs to jumpstart my data analytics career.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


I have been in marketing field for more than 5 years now and have been working as a data analyst for 3 years already.
My tasks include:
- Preparing reports that effectively communicate trends, patterns, errors, and predictions using relevant data. 
- Using statistical tools to interpret data, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts.
- Research
- Make funnel visualizations and dashboards to monitor and analyze data
- Do UI/UX research and make suggestions, depending on that make split-tests and improve value
- Setting up processes and KPIs for the team.
- Product analysis
- Building Knowledge Base.
- Tracking quality of the project
- Project Management

As for the marketing field:
- Research advertising trends Identify accurate target groups 
- Advertise
- Monitor and analyze data
- Make reports
- Train Sale team
- Research competitors
- Research advertising trends
Position: Data Analyst
Category: Data Science
Experience: 2 years | English: fluent


I have been living and studying master degree in Data Science in Lucerne University of Applied Sciences in Switzerland. I am in my last year of studies. I have completed several projects including time series analysis, web scraping, heat map, machine learning, data visualisation and many more that you can find in my github page
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I have been studying data analyses more than a year. I have tried to become acknowledge with world of data as a hole, so I also tried myself as a data scientist. That is why I have certificates not only on data analysis, but also on data science. Also you can find Python and R linear regressions visualization on my GitHub. Also I have written simple game on Python to show desire to learn and make money.
I am searching only remote work.