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


Certified Database Engineer with experience in product development, Non-Governmental organization and Technology industries. 
Skilled in  SQL, Python, Business Intelligence with Excel, Power BI and Tableau, Market Research, Creative writing, Product Management, Data Storytelling, Presentation and Communication.
To be part of agile team.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Have 3 own Pet-projects
Certified Junior Data Analyst who is obsessed with analysis, finding insights and patterns in everything.
Work with SQL, Python, have experience in creating projects in tools such as Tableau, Looker Studio, BigQuery, Google Sheets, Excel, as well as knowledge in the field of statistics.
I have a desire to develop in Data Science.

Worked on the following individual projects:

- User activity analysis

Project Description:
The project is an Google Sheet analysis of the activity of users of online games and their retention rate. The analysis uses pivot tables and slices. 
Analysis of metrics and indicators: retention rate, DAU, MAU, Standard deviation, Median using Google Sheets tools. Construction and analysis of a table of cohort analysis of online games users.
Technologies: Google Sheets l key product metrics l measures of central tendency

- Dashboard for visualization of key metrics

Project Description:
Dashboard in Looker Studio connected to a PostgreSQL data source. The tables display metrics: CPC, CPM, CTR, ROMI.
A combined chart with the ad run date on the horizontal axis, and the amount of Ad Spend and ROMI for each month on the two vertical axes.
A linear graph with the number of active campaigns in each month of advertising.
A table with a heat map, where the campaign name is displayed as a dimension, and the total Ad Spend, CPC, CPM, CTR, ROMI are displayed as metrics.
Technologies: Looker Studio l PostgreSQL | key product metrics

- User conversion rate calculation

Project Description:
Writing a SQL query in BigQuery using the Google Analytics 4 dataset, calculating the conversion rate of the funnel by users of the eCommerce platform
Technologies: SQL l BigQuery | key product metrics
I am a data analyst with a strong understanding of SQL, Python, and Tableau. I am also a fast learner and responsible individual who is ready for challenging tasks. I am looking for a full-time position in a company that is aimed at making both everyday life and business easier, more productive, and user-friendly.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


Change my career this year.
Completed the Google Data Analytics Professional Certification program, and obtained knowledge of SQL,
Excel and Google Sheets, Tableau, and Python. My previous job experience gives me excellent
communication, leadership, problem-solving, and project management skills. Apply Excel in my jobs since
2000. Speak 4 languages. Ready to be a reliable part of the team. Open to new opportunities
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


Checking flight documents and correcting information;
Entering data into Excel and Sophie programs;
Supporting of automation processes implementation;
Preparation of analytical reports;
Collection of information on the activities of the enterprise, making it suitable for analysis, analysis
implementation, visualization of the results in the appropriate form, as well as for the future period
making forecasts;
Cleaning, structuring, and visualization of statistical data obtained from databases, and submission of regular reports.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


Checkout 51 	                                                                      Nov. 2019 – Mar. 2021
Position:   Data Analyst
Duties:
	Processing incoming requests for cashback
	Checking the correctness of filling out forms
	Check for duplicates

PartsID
Position:   Vendor Communication
Duties:                                    		                          	    Jun. 2021 – Nov. 2022
•	Create/review requests
•	Check for updates from vendors
•	Updating order information in database according to the information from manufacturer
•	Calculate shipping profit
•	Report a problems with item description, price, part# etc.
Ready to work in such positions as Data Analyst and Customer Service. I would also be happy to learn and take on something new.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


Classify building cracks using transfer learning(vgg16 and resnet50)

Predicting a human race, sex and age using transfer learning with VGGFace2 model

Monkey breed classifier using transfer learning(MobileNetV2)

Emotion detector using own VGG like model

Semantic segmentation using own ASPPNet

Medical segmentation(finding the nuclei in divergent images(case is from kaggle)) using the U-Net like model, ASPPNet model and J-Net like model.

Medical segmentation of skin diseases (collected and labeled the data myself) using the U-Net like model, ASPPNet.

Detecting (x) underground signs(YOLO detector)
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


Cleaning and carrying Data analysis on different datasets using excel, SQL and Tableau
Position: Data Analyst
Category: Data Analyst
Experience: 8 years | English: upper

Wrote internal libraries to simplify and speed up the construction and selection of models. Managed to divide clients into segments and suggest how we can influence them. This is now up and running. Built model's of customer acceptance of the product. All models are currently in use
Client segmentation for marketing purposes and for a better understanding of theirs behavior, analyzed results and suggested how we can influence their behavior, built various models to predict client's behavior, analyzed client's data to find underlying relations.
Tools I used are: MS SQL Server, Python(NumPy, Pandas, matplotlib, seaborn, Scikit-learn)
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

Built from scratch IT systems for ESCC, Ukraine and Family Leisure Club, Ukraine
Completed the BigData project based on Sybase IQ Server. +25% sales in shops, Internet site, by calls
ClubReady LLC, iKizmet, the USA / Business Intelligence Analyst
August 2021 - November 2022
Developed dashboards for analyzing the performance of fitness studios and studios' network: studio/network/industry. 
Google Data Studio, Amazon QuickSight

EKOTON Industrial Group, ESMIL, the UK / Division Managing Director
August 2019 - October 2020

OLKO, Ukraine / Business Administration Consultant
February 2014 - May 2019
Made changes in Management:
established Board of Directors, 
introduced Regular Management, planning and budgeting processes,
introduced based-on-KPI motivation
Made changes in Retail:
improved Inventory Management (-50% stock rests),
established Marketing department and Marketing Activities Analytics
Made changes in IT:
implemented SLA/Service Level Agreement for IT Services,
developed DRP/Disaster Recovery Plan for Server Farm,
developed and introduced Incident and Case Management, Service Desk, Change Management based-on-ITIL/IT Infrastructure Library,
migrated Retail from in-house developed to standard customized  ERP,
introduced Software for Project Management

Bertelsmann AG, Germany, “Family Leisure Club” Book Club, Ukraine / CIO, COO
July 2000 - September 2013
Managed IT: Software Development, Business Intelligence/Reporting, Database Administration, Database Optimisation, Help Desk, Service Centre, IT Security. 800 PCs+servers in the Office, Distribution Centre and remote branches. IT team up to 32 specialists
Completed the BigData project based on Sybase IQ Server. +25% sales in shops, Internet site, by calls

European School for Correspondence Courses, the Netherlands, Ukrainian branch, Ukraine / Head of Customer Service, Head of IT
September 1993 - June 2000
Created and managed Customer Service and IT departments
Developed and implemented CRM system (from 10 thousand to 1,6 million clients with up to 250 thousand active buy-monthly clients)
Analyzed customers’ activity/behavior and forecasted their future activity
Planned demand of all goods and materials based on forecasted clients’ activity
Forecasted demand of the staff
Business Intelligence Analytics 
Marketing Data Analytics 
Product Data Analytics

Unwanted industries:
alcohol/tobacco production and distribution
banks and fintech
medicines, production and distribution
adult
dating
gambling
gamedev
blockchain/crypto
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Coding Tutor
Feb 2023-Present
Work Experience
Currently, I am working as a tutor where I am responsible for teaching two students SQL, Excel, and
Power BI. In this role, I prepare lessons and educational materials that help my students grasp the
concepts of SQL, Excel, and Power BI.
I also work with my students to understand their individual learning styles and tailor my teaching
approach to suit their needs.
Data Science Intern
Dec 2022-Jan 2023
The Sparks Foundation
As a Data Science Intern at The Sparks Foundation, I had the opportunity to work on a machine learning
model that detects the marks students get using their sleeping hours.
During my internship, I gained valuable experience in using Linear Regression to find correlations between
the 2 variables, training and saving models using the joblib module, and splitting datasets into training
and testing sets.
In addition to my technical work, I also had the opportunity to review other interns' code and provide
constructive feedback. This experience helped me develop my ability to communicate effectively with
colleagues and to provide feedback.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Co-founder –  ‘Pcholka’ (Retail Apparel and Fashion)  – Simferopol, Ukraine  (March 2012-March 2021)
	Conducted market research and data analysis to identify new sales opportunities and target markets, resulting in a 20% increase in online sales.
	Led data collection and analysis efforts, utilizing Excel to track customer behavior and sales patterns.
	Designed dashboards using Power Bi, providing actionable insights to co-founders.


Junior data analyst – ‘1582’ (Help Desk) – Simferopol, Ukraine 	September 2009 – January 2012
	Coordinated data validation and cleaning using Excel.
	Created a new dataset that allowed the organization to apply for 2 grants.
	Increased revenue by creating useful KPI dashboards in Excel.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

Was responsible for the test project of SEO for site ( 5 participant)
Always do more than expected
Cohort Analysis
Calculation of WAU and DAU value, cohort analysis. Calculation and analysis of user
retention by pivot table. Visualization of indicators using charts, where data Mltering
by slicers.
karEeting analytics
xRtract, clean and analyze data to calculate CTP, COC, COk, PIkQ by writing SqL
Buery in DKeaver. As well as visualization of the obtained indicators with help of
LII2xP STUDQI
I  I am a data analyst and I am looking for a job in a company that appreciates the desire to work and learn new things.
I know SQl, Tableua, Google sheets at a basic level, but I am constantly improving my knowledge and skills. I dream of working in a friendly team with the prospect of company development and me personally in the company)
Position: Data Analyst
Category: Data Science
Experience: 5 years | English: fluent


Collect business requirements, validate requirements with the involved stakeholders and
against available databases
 Specification and design of interfaces
 Lead the project of geospatial (Remote Sensing) data analysis, visualize crop over productivity at
country level, cluster crops into several groups based on types. Automate the total process to
promote decision making.
 Develop and apply data science and statistical methods and experimentation to analyse the effect
of pricing and sales decisions on business performance.
 Support OCR pipeline using Python
 Build predictive and machine learning models which deliver business value and collaborate with
Data Engineering to build and enhance modelling capabilities
 Delegating tasks to Junior Data Scientists to realize the successful completion of projects and
producing and disseminating non-technical reports detailing each project's successes and
limitations.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent

Fully automated the process of obtaining data from the budget documentation, which reduced the work on data analysis by 10 times.
Collect data from budget documentation and closed forms using Python and Excel, сreate tables and graphs to compare data, make reports in PowerBI.
My daily tasks were to parse data, build graphs to understand which list of works and materials provides profit or cost, and to understand this in the process of project implementation, not at the end.
After 2 years of working as a data analyst, I want to continue to develop in this field to become a professional.
I want to work with European or American companies to be able to work with new technologies and learn from best practices
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


Collected, cleaned and prepared data for logistic, marketing and selling departments from the customers using Python, SQL and Excel. Built data visualizations and reports using Power BI for presentations. Collaborated with other departments for increase in profit and successful launch of own production.
I am interested in Data Science and Analyst, learning and using machine learning algorithms and I want to develop as a professional in this direction.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Collected requirenments from business in order to build the logic for calculating the required indicators.
Analyzed data and created reports for dashboards in cooperation with different departments.
Created procedures for automating the calculation of business indicators.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


- Collecting, organizing, analyzing, and visualizing data.
- Research, finding insights in massive data, and conducting analysis of specific indicators;
- Automation of routine work and creating Power BI reports based on CRM, Google Sheets, and Google Analytics data;
- Contributing to the SDLC of product features and defects;
- Working with the BA team to translate business requirements to functional design and technical build-out;
- Writing and debugging functions, stored procedures in T-SQL, performance optimization;
- Interaction with global teams on creating new integration modules;
- Translating stakeholders' requirements into technical specifications;
- Managing cooperation with third-party developers on prototyping, business modeling;
- Deep immersion into the business needs and searching for better innovational solutions;
- Preparing statistical reports and presentations for field forces and management.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: pre


Collecting various types of necessary information from retailers and wholesalers, cleaning the data, and analyzing it. Preparing reports for the company's management for the analysis of sales, visualizing with Excel and Power BI, and formatting the data according to the requirements of other categories. Automating standard operations on the data using Python and VBA. Managing sales in the CRM system, gathering data about different types of customers, cleaning and analyzing the data, and performing descriptive and analytical analyses based on those insights. Defining the data structure (columns) for reports from scratch. Developing algorithmic VBA codes (Macros) for automating necessary operations on the Excel Data. Preparing reports for the analysis of sales for presentation to company management, visualizing with Excel and Power BI.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Company - Crunchyroll LLC
December 2022 - March 2023 - Quality Automation Engineer, API
Elaborating test scenarios for Account Services tickets;
Manual testing on Postman;
Automating tests using Junit5 in Kotlin;
Cross-teams communication;
Daily test runs check and bug reporting;
Deploying to stage and preparing tickets fpr deploy to production.
July 2022 - November 2022 - Quality Automation Engineer, data
Elaborating test scenarios for Data Team tickets;
Reading and analyzing Python scripts for ETL processes;
Creating monthly royalty reports for finance team using complex SQL queries;
Testing connection between Personalized recommendations service and the streaming platform;
Answered to the licensor's requests related to the royalty reporting calculations and provided efficient explanations;
Communicated with various teams;
Performed daily checks of ETL services and reported bugs if any;
Deploying to stage and preparing tickets for deploy to production.
April 2022 - June 2022 - Data Testing Intern
Learned to create complex SQL queries and perform ananlysis of Data team tickets;
Learned how to work with Jira, create explicative tickets and bug reports;
Learned to perform daily checks of ETL jobs and troubleshoot.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


Company: International Breweries
Duration: March 2021–present
RESPONSIBILITIES:
•	Collaborate with senior data analysts and business stakeholders to understand data requirements and objectives.
•	Assist in gathering, cleaning, and organizing large datasets from various sources, including sales data, production data, and customer feedback.
•	Perform data cleaning, transformation, and validation to ensure data integrity and accuracy.
•	Conduct exploratory data analysis to identify trends, patterns, and insights.
•	Use statistical techniques to analyze data and generate reports, visualizations, and dashboards to support business decision-making.
•	Assist in developing and maintaining data models and databases to facilitate efficient data storage and retrieval.
•	Support the development and implementation of data analysis tools and software solutions.
•	Conduct ad-hoc analyses and provide data-driven recommendations to improve operational efficiency and business performance.
•	Collaborate with cross-functional teams, such as marketing and finance, to support their data needs and provide analytical insights.
•	Stay updated with industry trends and advancements in data analysis techniques and tools.

KEY ACHIEVEMENTS:
•	Assisted in the development of a sales analysis dashboard, providing real-time visibility into sales performance and enabling timely decision-making, resulting in a 10% increase in sales efficiency.
•	Contributed to the identification of production process bottlenecks by analyzing production data, leading to process optimization efforts that reduced production cycle time by 15%.
•	Assisted in analyzing customer feedback data to identify key drivers of customer satisfaction, contributing to the development of targeted marketing strategies and product enhancements.
•	Developed automated data cleaning and transformation processes, reducing manual effort by 20% and improving data accuracy.
•	Collaborated with senior data analysts to complete data analysis projects within deadlines, ensuring accurate and reliable insights for management.

A link to my portfolio that contain samples of the works I have done is provided in my CV section.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: pre


•	Compiling, analyzing, and reporting financial data.
•	Creating periodic reports, such as balance sheets, profit & loss statements, etc.
•	Presenting data to managers, investors, and other entities.
•	Maintaining accurate financial records.
•	Ensuring quality automation using Quality Assurance (QA) processes andprevent any potential bugs.
•	Group level invoice bookings.
•	Analytical role dealing with large volumes of data.
•	Computing taxes.
•	Keeping informed about current legislation relating to finance and accounting.
•	Analyze more profitable diesel stations and navigate dispatchers in creating correct plan way.
•	Generating financial reports that display the company’s profits, equity and cash flow.
•	Cost controlling.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Google Analytics Professional Certificate
Completed extensive 6 months job-ready Google Career Certificate training. I have demonstrated hands-on experience with data cleaning, data visualization, project management, interpreting and communicating data analytics findings. Confidence in transforming complex data into actionable and clear insights. Fluency in R programming language and a solid understanding of databases.
Improve my skills which I got on the Google Analytics course. I want to better understand the project process in data-driven design, analyzing data, cleaning data and using SQL.
Position: Data Analyst
Category: SQL
Experience: 5 years | English: fluent


Completed Ministry of National Defense HRMS as a Oracle DBA/Developer and Java Front-end developer for Audit System. Oracle Security Design and Implementation for Regional States Portal Systems. HR Analytics Proof of Concept for Ministry of Civil Service using Oracle Business Intelligence. Research and Development in Database and Data Warehousing commercial and open source technologies(Oracle, PostgreSQL,Pentaho Analytics) and recommended for the engineering team. I want to expand my knowledge of the aforementioned and apply in real world projects at a global scale. I am also Microsoft Certified: Azure Data Engineer Associate. However, I want to apply my knowledge of this Data Engineering knowledge in real projects.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

Introduction to Data Analytics
SKILLUP by Simplilearn
29th Jul 2022 
Certificate code : 3652104

SQL for Data Science
UCDAVIS
Courcera Certification
SQL for Data Science 28/07/2022

Intermediate Python
DataCamp 
Intermediate Python course
SEP 16, 2022

English level EFSET 77/100 certification

Statistic Basic In Progress
Computer Science Bachelor's degree

I was working for TechnoTV and creating the clients data spreadsheets, pivot table reports, updating and editing existing tablets and formating the data with MS Excel / Google Sheets
Now, I've finished SQL courses and solved majority of StrataScratch tasks and also continue to gain knowledge of Python to create a pet project

My current skills:
Advanced Excel: using formulas for different types of tasks(vlookup, import+match, filter etc), creating pivot table reports, data visualization skills (charts graphs, heatmaps)

Python: Pandas, NumPy, Matplotlib, Lists, dictionaries, data frames, filtering, sorting and subceting data

Intermediate SQL: advanced filtering, aggregate functions, grouping, joins, subqueries, modifying data, case statement

Higher mathematics skills (basic mathematics + discrete mathematics, probability theory, graph theory)

Basic Statistics knowledge