lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data analyst
Category: Business Analyst
Experience: 4 years | English: intermediate

In June, 2016 I had graduated from Mechanics&Mathematics Faculty Taras Shevchenko National University of Kyiv with a Master degree in Mathematics and in May, 2016 – Automation testing courses in Epam Training Center. Thus I have confident knowledge and skills in testing, C#, understand all principles OOP. So, developing is interested to me too.
I learned and know how to:
Use data (DeltaDNA) to figure out market and bussiness trends for company to increase profits and efficiency (ARPPU, ARPU, ARPDAU, DAU, retention, LTV, convertion);
Gather data through a numbers of ways (SQL, Python (NumPy, Pandas), Excel);
Different reports.
I learned specifics of free-to-play and how to work with a Python and its libraries: NumPy, Pandas.
Work experience:
I worked in bank for almost a year on a position on lead specialist in risk department (analyst). And till now I work in IT-company as BI analyst.
Skills:
PostgreSQL, T-SQL, PL SQL, Python (Pandas, NumPy), Machine Learning, MS Office (Excel, Word, PowerPoint);
Testing tools: Selenium IDE, Apache JMeter, Test Complete;
Tools & technologies: HTML/CSS, C#;
Smoke-testing, compatibility, exploratory, manual functional, automated functional, regression testing;
Fast career growth;
Developing as professional;
Gain more experience in unusual and interesting projects;
Deeper learning and using A/B testing, machine learning, neural networks, cluster analysis, Python.
Position: Data analyst
Category: Data Analyst
Experience: 2 years | English: upper


Working as Data Analyst/Product Analyst in a product company. Developing product metrics and research, Tableau reports. I also had an experience in healthcare as Data Analyst (Power BI).
VBA, Excel
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

Courses:
1. The Complete Guide to Python 3: From Beginner to Expert
2. Data Science и Machine Learning на Python 3 from scratch
3. Power BI: from beginner to confident business user
01.02.2021 - 30.07.2021
Freelance
Marketing / Targeting (Google Ads, Facebook Ads)
Fully led the marketing campaign of companies in Instagramm Facebook and Google. Worked with Facebook/Google Ads

01.09.2021 - 30.06.2022
Mazars
Auditor
Analyzed and processed data from different companies to create financial statements for them. Studied for 2 months with an IT Auditor and worked with Access and SQL, to analyze a large amount of data.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

My Projects:
- Research project for prediction war statistics. Research project that analyzes war, applies Machine Learning, Data
Analytics and Data Science technologies. Project included model time prediction and analyzing. Used Python, Pandas, Seaborn, Scikit-learn, Matplotlib, Numpy and mathematics researjching.

- Finance application. Finance app will keep the track of your daily income and outcome money. Machine Learning
Model gives advances due to user`s goals. Used Kotlin, Java, Machine learning.
06/2023 - now
Data Management - Manz Ag
Data preparation, data analyzing, project managing, control and optimizing the work process.
Tech stach:
1. Excel, MS Office, Visual basic for application
2. Visual basic for application, Python
3. SAP
4. Power BI, Tableau

03/2023 - 05/2023
Research Assistant - Reutlingen University

10/2022 – 03/2023
Data Analyst - T.H.E. Capital
Collecting information about the market, calculating statistical indicators, analytical reports in various areas, modernizing and optimizing the work process.
Tech stack:
1. Python
2. CRM-system
3. SQL
4. Excel, MS Office
5. Power BI


05/2022 – 10/2022
Data Engineer - Cogniflare Limited
Cloud-focused company providing data-driven solutions to large-scale data
movement projects.
Tech stack:
1. Python, Java
2. MySQL, MondoDB
3. Google Cloud

08/2020 - 09/2021
Math & Python 
Individual and group classes with students.
Working with:
1. Math, Applied math, Linear algebra, Analytic geometry, Probability theory, Mathematical analysis
2. Python language (OOP, TKinter, NetworkX, Pandas, Numpy, Scikit-learn)
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

0. Implementation of reporting systems on Power BI and Tableau from scratch;
1. Implementation of analytical solutions to increase revenue;
2. Showed and researched the most effective user cohorts in the early stages of products;
0. Building analytics and research based on best practices, unit economics, deep funnel research, selecting the most effective traffic sources and statistical analysis;
1. Clear and user-friendly visualizations with Power BI, Tableau & Looker Studio;
2. Designing | writing views, procedures & performing DDL, DML, CTE operations in SQL (Google BigQuery, AWS Redshift, AWS Athena, PostgreSQL, Oracle SQL, MS SQL, SQP IQ, Teradata SQL Assistant);
3. Full configuration of Google Analytics (4 | Universal), in the scope of Accounts | Properties;
4. Page markup using Google Tag Manager and DataLayer;
5. Design, run and analyse result of A/B tests (Firebase & Google Optimize);
6. Cohort analysis and work with such metrics as CAC, ARPC, ARPU, ARPPU, CPA, ABV, LTV, Revenue, ROI, ROAS;
7. Analyze heat maps, scrolling and surveys with Hotjar;
8. Cross-network tracking and attribution using AppsFlyer, Adjust, Mixpanel;
9. Using ML/AI algorithms to solve clustering, NLP, recommendation, and prediction problems;
10. Installing Facebook, TikTok, Twitter, Linkedin pixels;
11. Facebook Ads, Snapchat Ads;
0. The ability to make data-driven decisions, take ownership of projects, and have autonomy in designing and implementing analytical solutions;
1. Access to quality data;
2. Punctuality and compliance with deadlines by colleagues;
3. Advanced tools and technologies;
4. Correct management and competent workload distribution;
5. minimum amount of routine;
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


(10.11.2021 – Present, 9 months)
Currently, I am working in a junior data analyst position at Azerbaijan Customs Committee. Here we provide visualization of data, analytical analysis, and then transfer to the management. Specifically, it is the detection of emerging risks and the analysis of them.

(26.08.2021 – 15.10.2021, 3 months)
Before this job, I worked as a Data Scientist Researcher and Mentor at QSS Analytics. There, I performed in-depth statistical analyzes on data using "IBM SPSS Statistics" and "SPSS Modeler" software, made visualizations in "Power BI" software, and applied machine learning models in "Python". I also worked as a mentor in the "Business Analytics with Data" training.

(01.05.2021 – 06.02.2022, 10 months)
Before my activity as a researcher, I prepared 2 projects during the 10 months "Data Science Bootcamp" training. In these projects, I applied the data through the "Python" programming language at all stages from 0 to model building. You can get acquainted with those projects on my GitHub profile.
> a job or project in which I can increase my knowledge and skills and develop myself every day;
> a warm, friendly, helpful, and progressive team environment;

> I don't want to work in a hierarchical work environment that constantly exerts control and pressure on the employee.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


10+ years of experience in the economy field
Solid data management and quantitative analysis capability
Proven expertise with MS Excel (formulas and functions, Pivot tables, charts, database, etc.)
Microsoft SQL Server, MySQL, Alteryx, ChatGPT, basic knowledge of Power BI, Google Analytics 4
My goal is to become an experienced Data analyst. Now I'm getting the extra skill set I need.
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: upper


10y in analytics/ 3y in eCom./ 4y in logistics/ 2y in production.

I offer my services in the direction of production planning, delivery to warehouses, publishing on trading platforms, making optimal deliveries, and presenting a report on each step.
- reporting to management;
- ERP db optimization and support;
- support of 20+ TM’s/110k+ SKUs;
- prioritization of tasks for the team;
- publishing SKUs on HDCA/Costco/Lowe's/etc;
- syndication of good reviews;
- the creation of technical documentation.
Position: Data Analyst
Category: Data Science
Experience: 1.5 years | English: upper

In my current workplace I took part in a few interesting projects such as:
- road accident forecasting
- automation of address data extraction from raw text
1) 1.5 years as Financial Analyst in FMCG. 
Main responsibilities:
- cost price forecasting and analysis
- investment project financial modeling

2) 1.5 years as Data Analyst in insurance sphere 
Main responsibilities:
- Power BI report development 
- Web scraping
- Managerial accounting
- ETL using Python, MS SQL
I'm more interested in modeling tasks such as prediction, classification, ect., web scraping and natural language processing.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: upper


15 year of experience in analytics
Programming: SQL, R, Python
Data Visualization: Power Bi,
Tableau, Excel, Power Point
Modeling: Logistic regressions,
linear regressions, decision trees,
random forest, data clustering,
factor analysis
Marketing Analytics: A/B Testing,
segmentation, cohort analysis
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


1.5 years of experience in data analytics
Previously 4 years in QA and PM
Enthusiastic about Analytics, love finding solutions to challenging tasks.

SQL: use SQL daily to manage and query our BQ database which we use to store data for our dashboards and report, have experience in database development and writing complex queries in SQL.
Data visualization: can create insightful reports and dashboards in Tableau and Power BI. 
Programming languages: Java and Python.
Use Python to write scripts to automate data transfers from APIs and sent files, to our BQ database

Work as a data analyst now, responsibilities are:
1. Creating reports and dashboards for clients and internal users that illustrate geographic distribution of customers, lead time of transactions, employee and team KPIs, etc.
2. Managing data - managing the database and using queries to do heavy data cleaning operations to lift the load off the dashboard, writing Python scripts for data transfers, etc.
3. Developing solutions to answer ad-hoc questions about state of the system and present it in an easily understandable manner to illustrate an issue or propose an improvement.
Would love a challenging and active work environment to gain experience and skills quickly, fast-track professional development, work productively and leave a valuable contribution to achievements of the team.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: pre


1.5 years of work at Flextronics in Mukachevo, Ukraine as a Traffic Analyst with related work in Data Analytics. I have experience working with Power BI and currently working on Tableau with SQL connections. I also constantly work with Microsoft Excel.
Position: Data Analyst
Category: Business Analyst
Experience: 6 years | English: upper


16 years work experience in Banking sector on different positions
2 years ad QA / BA
4 years Business Analyst , Data Analysis and Reporting
Last half year as System Analyst / Business Analyst Mobile Application, Internet Banking (hybrid system)
Meaningfull job with entusiastic staff with clear goals and realistic deadlines
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


1. Ads analysis, Retail.
In this project, we analyzed retail advertising campaigns using the SQL language and did the subsequent visualization in Google Looker Studio. Evaluate the effectiveness of advertising campaigns using metrics such as impressions, clicks, conversions, CTR, CPM, CPC and ROMI. Segmentation methods allow you to evaluate advertising channels, as well as campaign types and target audience segments. Visual Reports - Inform marketing strategies and optimize retail advertising performance.
2. Cohort analysis, GameDev.
In this project, a cohort analysis was developed for the GameDev industry in order to analyze the behavior of players and track key indicators of their activity. In this project, we used basic statistics and analysis, and the project itself was aimed at measuring user engagement and retention. Cohorts were defined based on player activity time, and retention and engagement rates were carefully analyzed. As a result, the possibilities for optimizing the gaming strategy, attracting and monetizing, as well as the possibility of conducting new marketing campaigns were studied - based on data obtained as a result of multiple analysis in Google Sheets.
3. Data analysis and calculation of key metrics based on BigQuery and Google Analytics 4.
In this project, we prepared data to create reports in BI systems. We calculated how many people took specific actions on different dates and through different online channels. We also looked at how well different landing pages led to those actions. Additionally, we checked if there was a connection between how engaged users were and the number of purchases they made.
I am looking for a job in a reliable and growing company where I can make a significant contribution using the experience gained.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


1. Created a hospital database using DML and DDL statements. Based on it write-optimized data queries using Oracle.
2.  Done a project for the university to understand the connection between students' Moodle activity and their final grades. Used classification models using R. Done data cleaning and analysis part.
3. Done a project for STEMGen educational startup. For them, I created dashboards in Tableau which showed the effectiveness of their product. Done data collection and analysis part.
4. Now I am responsible for developing research schemes, creating analytical models based on the specifics of surveys, analyzing the data, preparing reports and presenting them to our clients – largely local and international corporations and organizations. I have done more than 30 research.
Position: Data Analyst
Category: SQL
Experience: 3 years | English: intermediate

A lot of projects from scratch. I will tell in a personal conversation.
1. Created all business reports from Scratch.
2. Automatized reporting system.
3. Statistical analysis.
4. Definition key metrics for analyzing any business.
5. Work with the customer directly.
1. Stable company
2. Become a leader of projects in the future or at this moment.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


1. CRYPTO TRADER - currently I am doing futures trading on Binance and ByBit so I have awareness about crypto and economic world (3 years). 

2. TELEGRAM CHANNEL about Crypto News, Market News, World Economy etc. - Moderator for 1 year. My task was to post all updates about Crypto currency world.   

3. PSYCHOLOGY ASSISTANT MILNER MEDICAL 
- My task is regulary monitor the psychological state of the staff Participate in training session (Individual intensive about "How to be profeccional psychologist") 
- Polled people about their mental state during the work activity (110 members were polled) 
Questionnaires and job testing for employment (20 memberers were questioned). I asked about their mental problems or characteristics.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

1. Reduction of data processing time;
2. Implementation of new methods of data processing;
3. As a result of the above, an increase in both personal and team productivity.
1. Data Analyst
Worked with AWS, Python 3, NumPy, Pandas, Tableau.

Implemented Python code (Pandas, NumPy, Openpyxl) for resources optimization. Automatized and improved the process of reports generation.
Performed Time Series Analysis using the data from internal system dashboards, servers etc.

2. Data Analyst
Worked with Excel, MS Publisher. 

Processed incoming information from international sources and stock exchanges. Prepared regular analytical reports in MS Publisher.
Improved the process of creating reports by adding several templates and writing procedures.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

AWS Certified Cloud Practitioner
Google Cloud Certified Associate Cloud Engineer
1.	Data cleaning and transformation
(Dropping irrelevant Columns, Handling stringified JSON columns,
Flatten nested Columns, Cleaning Numerical Columns, Cleaning DateTime Columns. Cleaning Text / String Columns, Removing Duplicates. Handling Missing Values & Removing Observations.
) using integrated PowerBi tools or using Python libraries
(Pandas, Pyspark) for data transformation.
2.	Creating simple ETL’s processes in AWS Cloud (AWS Lambda) for data transformation.
3.	Analyzing different data sources (RDBMS, cloud storages, flat files, etc).
4.	As a member of the team and because I have data quality engineering skills I took part in data quality control and analyzed business requirements.
5. Creating different measures for data visualizations in PowerBi.
6. Creating different visualizations in Power Bi according to the business requirements.

I have experience with all main cloud providers (AWS, Google, Azure). I have AWS Cloud Practitioner Certification and  I’m Google Cloud Certified Associate Cloud Engineer. , I have SQL skills for working with RDBMS.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


1. Development reports in the Tableau system (or Power Bi).
2. Writing queries in the MsSQL (both regular and one-time). 
3. Working with ETL (creating pipelines and schedule of updating).
4. Preparation of ad-hoc analyses for business needs.
5. Providing data analysis support for ML.

Competences:
1. TABLEAU (MIDDLE)
2. POWER BI (MIDDLE)
3. SQL SERVER (STRONG MIDDLE), MYSQL
4. EXCEL
5. PYTHON (JUNIOR) WORKING WITH PANDAS, GRAPHVIZ, MATPLOTLIB, SKLEARN, WEB SCRAPING (BS + SELENIUM), GETTING DATA BY API
NON Gambling (Betting)
Position: Data Analyst
Category: Python
Experience: 1 years | English: upper

Learn programming languages (Python, JavaScript), Graduated Master degree, completed projects (see above).
1) Hard Rock Tunneling: A Generalized Model for Estimating TBM Performance and Disc Cutter Wear
Life
Description: Analyze the data to determine the which rock property can affect on TBM cutting force and develop the
prediction model based on it.
Languages: Python
Development Environments: Jupyter Notebook
Activities:
1. Collecting data from existing projects and develop master database based on 6 projects;
2. Making a linear and multilinear regression analysis based on Python by using Machine Learning;
3. Developing the estimation model for prediction the cutting force according to rock properties by using
libraries (pandas, matplotlib, numpy, scipy, sklearn).

2)SaparTime
Description: The goal of the project was to create a platform for tour search. This platform would contribute to the development of tourism in Kazakhstan.
Languages: JavaScript
Development Environments: VueJS
Activities:
1. Acceptance of applications from the previous developers;
2. Researching and estimating the business needs;
3. Fixing bugs from the previous developers;
4. Designing, developing, documenting, and supporting the application;
5. Participating in the architecture design process of the client-side;
6. Redesigning application according to new design;
7. Integrating with APIs.

3)Aktogay Expansion Project
Description: Design, construct, commission, and testing the electrical part of project.
Software: AutoCAD
Activities:
1. During working at the engineering and procurement stage I’ve calculated and prepared MTO (material order)
and BOQ (bill of quantity) for electrical discipline. Issued the RFQs for ordering the bills and scheduled the
supplement;
2. Designed grounding system of substation and transformers, calculated heat tracing, designed protection of
transformers, control panels for LV motors considering IEC, design and RoK standards;
3. During the construction stage I have coordinated the laying of cables in trenches and the installation of
lighting in the plant. Principal supervision of electrical construction works on two areas which included two
substations 10kV and HV VSD’s based on ABB ACS2000 control system.
As a junior data analyst with a background in a different profession, the expectations for me include learning data analysis fundamentals, developing technical skills, handling and cleaning data, improving problem-solving abilities, collaborating and communicating effectively, being adaptable, paying attention to detail, understanding the domain, embracing continuous learning, and taking a proactive approach to contribute to data-driven projects.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

I have completed more then 30 client requests for client as data analyst at PwC. In each request I had to prepare dataset for audit analysis and agree the result with client.
1. Intern Data Analyst at PwC Lviv SDC (December 2022 - currently).
2. Airplane Stress Analyst at Progresstech Ukraine (June 2019 - December 2022).
3. Mechanical Stress Engineer at National Atomic Energy Generating Company "Energoatom" (February 2017 - March 2018)
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate

Analytical mind  (PhD thesis confirm it)
Love to mathematics for its simplicity and complexity at the same time
More than 40 publications in scientific and industry journals
A member of a team of like-minded people who constantly learn and teach others, and who moves this world forward
1) I worked as a researcher at the National Academy of Sciences of Ukraine and at the Taras Shevchenko National University of Kyiv on scientific projects in the fields of analytical chemistry, performed experimental and theoretical work, used Excel, Basic, PowerPoint
2)I worked as Editor-in-Chief of international journals, Head of the publishing project - was engaged in analytics of the markets of polymer and pulp and paper materials, as well as monetization of advertising projects, financial reporting on the project  (MS Office, Excel, 1С, Photoshop, Adobe, CRM)
3)For 6 years I worked as a product and sales manager in the  Donau Lab,Swiss company, I was engaged in product analytics and analytics of sales of my products (equipment and technologies for pharmaceutical laboratories, food production and chemical industry), Excel, 1C, CRM system
4) Now I work in educational projects of the Ministry of Education and Science of Ukraine, public organizations, teach mathematics and chemistry at the international lyceum in Kyiv, I use a lot of different resources in my work, including Python, Canva, Tableau, Slack, Trello, Zoom, Google Sheets and other Google instruments, Microsoft365, Kahoot, CK-12
5) I plan returning to data analytics,  to do marketing analysis, data visualization, work with Python and Big Data,  I am constantly learning for this on various learning platforms, as well as on Data Analyst course from GoIT company