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

Accomplishments: 
• Data Mining and Modeling: Collected, cleansed, and provided modeling and analyses of structured and unstructured data used for major business initiatives. 
• Dashboards: Created visually impactful dashboards in Excel, Tableau, and Power BI Desktop for data reporting by using pivot tables and VLOOKUP. Extracted, interpreted, and analyzed data to identify key metrics and transform raw data into meaningful, actionable information.
Conduct data mining, data modeling, statistical analysis, business intelligence gathering, trending and benchmarking. Data analytics supports decisions for high-priority, enterprise initiatives involving IT/product development, customer service improvement, organizational realignment, and process reengineering.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

- [Google Play Store Dataset - Exploratory Data Analysis]
The analysis of the Google Playstore dataset which encompasses information on more than 100,000 apps using Python libraries such as Pandas,
NumPy, Matplotlib, Seaborn, and Opendatasets

- [Real Estate Web Scraping Project using Python libraries]
Extarcted from the website about 100 pages of data using BeautifulSoup library and creating Power BI visualization on basis of acquired data

- [COVID-19 Data Exploration using SQL]
Analysis of more than 500,000 rows of data using Microsoft SSMS system with implementation of 10+ SQL Commands

- [Call Centre Trends Analysis using Power BI Dashboard]
- Conducted data analysis by identifying patterns and trends within large datasets of beneficiary information, which boosted performance by 40%
- Implemented Excel spreadsheets to organize, manipulate, and visualize data through charts, graphs, and pivot tables, which cut down paperwork by 50%
- Built interactive dashboards and reports using Power BI to communicate complex data insights to non-technical stakeholders, which improved
productivity by 30%
- Developed 20+ SQL queries and Python libraries like Pandas and NumPy to extract, transform, and load data for analysis and perform statistical
analysis and visualization
- Extracted, transformed, and loaded data into the database system, monitored daily, and analyzed received data for errors before uploading into the system
- Created visualizations and reports using Power BI, which reduced the time spent on reporting by 20%
- Developed an Excel file that automatically updates required tables based on new data, increasing daily productivity by 30%
- Designed and implemented a new database schema that reduced query time by 40% and improved data accuracy by 25%; optimized data
retrieval process for team to streamline reporting and insights
- Trained and mentored 10+ employees on database usage and tasks resulting in increased efficiency and productivity for the team
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent


-Conducted data collection, cleaning, and validation processes to ensure data accuracy and reliability;
-Utilized SQL to query and extract data from databases for analysis purposes;
-Developed and maintained Tableau dashboards to visualize key performance indicators (KPIs) and trends for business stakeholders;
-Collaborated with cross-functional teams to identify business needs and provide data-driven solutions and recommendations;
-Prepared and presented comprehensive reports, charts, and graphs to communicate findings to both technical and non-technical audiences;
-Conducted ad-hoc analyses to support business decision-making and strategic planning;
-Implemented data-driven process improvements to optimize operational efficiency.

Technology stack:
-BI: Advanced Tableau(Desktop, Cloud, Prep), basic PowerBI;
-SQL(PostgreSQL, MySQL, BigQuery); 
-Python(pandas, numpy, seaborn);
-R(tidyverse, ggplot2);
-Excel/Google Sheets.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent

* Proficiently conducted quantitative research, utilizing techniques such as descriptive statistics, correlations, and linear regressions to derive meaningful insights.
* Successfully automated API requests, streamlining the reporting process and saving valuable time.
*Demonstrated effective data collection abilities, utilizing both automated API and manual approaches to gather relevant data.
*Skillfully performed data cleansing using Excel and RapidMiner, ensuring high-quality and accurate datasets for analysis.
*Showcased expertise in data visualization by creating engaging and informative visual representations using various tools, including matplotlib, seaborn, DataWrapper, Adobe Illustrator, and Flourish.
Conducted quantitative research (descriptive statistics, correlations and linear regressions) with SPSS, Excel and RapidMiner
Automation of API requests
Data collection (API, manual) 
Data cleansing (Excel, RapidMiner)
Data Visualisation (matplotlib, seaborn, DataWrapper (for visual exploration), Adobe Illustrator, Flourish)
Position: Data Analyst
Category: Marketing
Experience: 6 years | English: fluent


-Conducting analyzes on demographics, income levels, product usage, and risk profiles for specific segments. I personally implemented process optimization strategies resulting in a 20% reduction in average review time.
-Ensuring compliance with AML and KYC regulations, conducting reviews to identify potential risks and mitigate them;
-Staying updated with regulatory guidelines and documents;
-Creating reports and presentations summarizing insights, highlighting areas of improvement, and proposing strategies for optimizing processes. I successfully reduced the customer form rejection rate by 15%.
-Conducting regular meetings concerning processes and address any concerns.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


- Conducting data quality checks, ensuring the integrity of data
- Reporting and documenting data quality issues
- Performing user acceptance testing
- Reporting findings to the development team
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


•Connecting data sources, importing data, and transforming data for Business Intelligence
•Implementing DAX functions for various calculations for efficient data visualization
•Developing visual reports and dashboards using Microsoft Power BI Desktop
•Creating interactive designs using Microsoft Power BI Desktop
•Building Analysis Services reporting models
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent

I won the Trailblazer Qualification challenge 2022 organized by Zindi Africa and supported by South Africa with 495 fellow data scientists. 

I won the Data Science Africa 2021 data hackathon supported by Gedia, arm.com of 524 fellow data scientists.

Detail-oriented, thorough, and vigilant to collect all necessary data without missing critical components.

Skilled understanding of data analysis to effectively interpret findings in a way that makes sense to end users.

Competent communicator and confident presenter to report analytics findings to members of senior management.

Creative in putting together projections for a variety of scenarios to assist departmental experts in making future decisions regarding the organization’s growth.

Technologically savvy to assist end users with understanding technology, software updates, and changes to existing protocols.

Enthusiastic and friendly team player who can motivate colleagues and contribute to shared objectives in efforts to accomplish departmental goals.
Constructed operational reporting in Tableau to improve scheduling contractors and clients.

Implemented a long-term pricing experiment that improved customer lifetime value by 23%

Ran, submitted, and reported on monthly client enrollments, services opted in for, and the employees assigned to clients.

Built a price sensitivity model to offer lower pricing for room inventory unlikely to be booked, resulting in a decrease in room vacancy of 17%.

Built an AI-enabled system with other colleagues.

created dashboards to understand the performance of external staff employed by SILQ

Track staff performance on different dress designs and the customer's reaction to them. 

Documented the experience of the customer on each design.

Interacting the production database to extract information and insights to help the management  

Tools used: Tableau, SQL, Excel, Python, Tensorflow, OpenCV
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent


* Coordinated statistical data analysis with Python and PL/SQL
* Created various MS Excel documents to assist with pulling metrics data and presenting information to stakeholders for concise explanations of best placement for needed resources.
* Produced monthly and daily reports using advanced Excel spreadsheet functions.
* Utilized Tableau and other dashboard/visualization toolsets for data intelligence and analysis.
* Analyzed large amounts of data to identify trends and find patterns, signals and hidden storieswithin data.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

3 years ago joined Data team. During this time my team grows up from 4 to 40+ people. Launched new projects.
Coordination and management of a data analysts team consisting of 50 people including employees training's, guidance, motivation, and evaluation.
Coordination of Power BI and RPA team
Explore and implementation of new automation solution
Responsible for daily monitoring of actual delivery performance
Support of IT-related projects
Communication with key stakeholders in the company
Team budget allocation, budget control, implementation of measures.
Marketing research, project management, Project methodology design, project field conducting, data cleaning, statistical data processing via SPSS and Excel, Data analyzing, client service, Surveys tool, SQL, Power BI
Professional growth, gaining new skills and knowledge along with the development old ones, non-standard tasks, opportunity to work with data, and analyzing friendly team.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Coordination and management of a data analysts team including employees training's, guidance, motivation, and evaluation. Coordination of IT and Business teams. Implementation of new automation solutions, mailing system and scheduling automated reports using R. Responsible for daily monitoring of main commercial KPIs.   Communication with key stakeholders in the company. Team budget allocation, budget control, implementation of measures.
-Preparing regular reports and dashboards for internal business partners;
-Experience with  Excel (Power Pivot,Power Query)
-Knowledge of SQL
- Report automation with R
- automatic mail distribution R
- visualization with R  
-Preparing data analysis and reports on demand;
- Сollecting and validating data for regular reporting;
- Building and maintain effective business partnerships within and across departments in related issues;
- Building monthly, quarterly reconciliation and closing reports in Excel
-Data visualization
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: pre

Implementation of SQL and Power BI in the company. Before that, all calculations were in Excel.
Coral Travel Ukraine company

The main functionality is divided into several sections

1. Sales department analytics
Calculations in Excel and the internal EagleEye database
Preparation of daily, monthly and control annual reports
Setting targets for sales departments
Development of reports for sales control
Preparation and preparation of analytical reports on competitors
Writing technical documentation for the IT department
Calculation of ABC analyte and RFM analysis
Evaluating the effectiveness of advertising campaigns

2. Call center analytics
Preparation of reports to monitor the implementation of plans for calls
Settings for uploading data from the contractor's database
Development and preparation of reports by department

3. Microsoft Dynamics 365 CRM administration
Writing IT department documentation to run a CRM system

4. Sales Manago
Preparation of bases for mailings.
Program administration.

5. Project manager implementation and development of the WebTutor training portal for Coral Travel
Writing a plan for the implementation of the portal
Communication with IT departments to launch the project
Control and communication with the departments responsible for filling the portal (content, business coaches, designers, technical staff)
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent


Correlation of movies with Python : i did this project  for a company to know how the budgets for movies correlate with revenue generated.

Data Profession Dashboard with PowerBi : i performed this job for a Company that needed information on the programming language data professionals prioritise, if they are happy with their salary and their work life balance and so many other information. 

Education Dashboard; a personal development project that highlights reasons why there are high drop out rate, and the course that had high drop rate.

Excel Data Cleaning : I was a given a dataset to clean up and verify the integrity of the data
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate

Final project for Data Analytics course &
Final project for Excel Advanced course
links are in the resume
Courses:
1 Data analyst advanced
- Statistical DA (Statistics, Desicion trees, A/B-testing, Time series  and forecasting) 
- SQL (Programibilities (Function, Views, Stored Procedures), Query Performance Tuning, Transactions, Indexes, Window Functions)
- Python DA (Loading, Querying & Filtering data, NumPy, Pandas, Data Visualisation: matplotlib, seaborn, geopandas, folium)
2 Excel advanced
Powerquery + Language M
Dynamic ranges and references, Named ranges, Array's formulas
Automatic system management
Data validation & Conditional formatting, Control elements
Power Pivot + DAX + OLAP-cubes formulas
Visualisation, PowerView + PowerMap
Predictions, Solver, Database functions
3 Tableau Advanced
Groups and Sets
Advanced table calculations
Data prep + analytics
Creating animations
Level of detail calculations
Advanced mapping techniques
Data analytics fan. Love math, deep analytics and 
creative solutions. Need a chance, would give the result.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Certificates: 
Google Data Analytics, 2022
Courses:
Google Data Analytics Certificate, 2022

Skills:
- Google Sheets/Excel;
- SQL;
- R (programming language);
- Data Visualization in Tableau;
- Data cleaning;
- Data analysis;

Education: 
Taras Shevchenko National University of Kyiv 
Master of Science in Physics and Astronomy 2020-2022

Taras Shevchenko National University of Kyiv 
Bachelor of Science in Physics and Astronomy 2016-2020

While studying at the university I've conducted multiple experiments  in lab setting which involved tasks such as data extraction, data cleaning, analysis and visualization in programs such as OriginPro.

Willing to compensate my lack of commercial experience with my motivation and fast learning skills.
Looking for a Data Analyst position either in office or remotely. My goal is to advance myself both personally and professionally in the field.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent

HSE Olympics winner 
Abandoned HSE Masters, learned math and analytics on my own.
Created BI System for 2 Photo/Video apps, API connectors for general performance marketing platforms, performed quantitative and qualitative researches (with ML models application e.g. clustering, segmentation, prediction ). Designed and calculated experiments. Performed bunch of qualitative researches in different domains.
Startups/small companies preference. Best - in mobile/gaming. 
Relocation/Ability to work from Kiev (acceptable without help) - is a must.
Believe that analyst is a person, who build knowledge system and helps to make business decisions in company, not only a calculator/DB API.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


- Created interactive visualizations in Power BI, submitted and presented to management team 
- Worked with database by using MySQL/PostgreSQL/BigQuery
- Performed statistical analysis in Python included correlation and trends analysis, t-tests
- Made connection between CRM and database, worked with API (Python)
- Integrating payment system with Power BI (via Python Script)
- Constructed daily reports for the accounting team using SQL requests
- Prepared datasets and transformed data in SQL and Python
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

As a Data Analyst, I developed monthly sales leads which led to a 10% increase in product sales strike rate.

As a Data Analyst, I was part of the team that created a Customer segmentation model and created personas that lead to a more personalized and improved sales process for the bank.

As a relationship manager, introduced various programs and initiatives to improve branch profitability, moving from loss-making to profit-making and
achieving > 50% of the PBT target for the first time in 5 years.

As a relationship manager, I solely fulfilled 90% of branch loans and new customer acquisition targets.

As a relationship manager, I increased revenue and profitability by growing wallet share, sourcing and delivering business credit solutions, cross-selling
bank products, achieving high levels of customer satisfaction.
Created sales leads using complex SQL queries and KNIME workflows based on certain business rules,
increasing leads strike rate by 16% compared to the existing leads workflow.
 Querying, cleaning, processing and modelling data using SQL and Python libraries, Pandas and
ScikitLearn
 Developed a clustering model based on K-means algorithm and data mining techniques to segment
customers by certain important indices, increasing product sales by 30% as marketing became more
targeted.
 Steered transformational change in the delivery of valuable insights to drive senior management
decision-making capabilities, utilising complex SQL queries and implementation of well-detailed
interactive Power BI dashboards, increasing staff productivity by 22%.
 Refactored old and slow SQL and Python codes to improve computational performance on large
datasets.
 Created and Monitored Business Intelligence Dashboards, KPIs and other indicators using SQL and
Advanced DAX functions by gathering, cleaning and formatting data from multiple sources.
 Contributed to development of quality control metrics for data acquired from the Data Warehouse;
formed strategy to cleanse the data, fill the missing values and remove outliers, resulting to about 80%
good quality data.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


Creating a monitoring system (marketing, promo, business metrics)
Communication with internal teams
Analysis A/B testing
Researches
Monitoring and analyzing the effectiveness of traffic purchases
Writing Functional Specifications for Developers
Creating a monitoring system for Ask.fm, Ning.com, Survarium
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


- creating and presenting digests, reports, dashboards and manuals (mainly by Google Data Studio, Confluence);

- collecting and processing of a large volume of data (Excel, Google Sheets, Impala);

- finding, documenting and fixing bugs in Tableau dashboards (incl. using SQL queries);

- using YouTube and Google Analytics to find insights about videos and articles' performance;

- helping related departments in the settings of their spaces in TargetProcess as well as conducting training meetings;

- regular communication with DWH and EPMO depts on technical aspects of data collection;

- conducting business correspondence with colleagues from EU/NA regions on content dashboards and reports;

- acting as a Business Analyst's assistant (helped my leader set up Core Content teams' spaces in TargetProcess);

- particapating in the development of a data-driven approach to content creation.

The thing that motivates me more than others is decision-making based on my analysis – realizing that my data insights help to improve some metrics drives me to improve my analysis and skills.

I'd like to continue developing myself in game industry because it's a perfect combo of my passion: data and games.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

- Created a full cycle of data analysis processes from scratch: parsing/extraction, processing, visualization, and creation of insights reports.

- Created automated processes from scratch. Automated key monthly/weekly reports and routine tasks using Python.
- Creating automated reports based on information retrieved from databases, and open data (XML, CSV, JSON files, API, and parsed sites).
- Creating automated reports in excel and power point.
- Creating dashboards in BI system.
- Calculation of client's probability of default using regressions and conducting hypothesis testing.
- Working with databases using SQL.
- Creation of calculation scripts on my department tasks using data analysis python libraries (pandas, numpy, sklearn, statsmodels etc.).
- loan portfolio & loans collateral analysis.
- expected credit losses calculation.
An environment that drives personal and professional growth, and challenging tasks in product analytics. Data Science assignments are also interesting although my profile is closer to the Data Analysis domain.
Position: Data Analyst
Category: SQL
Experience: 7 years | English: intermediate


Creating export databases, tables and fields according to data requirements and types, creating data, clearing and normalizing input data, using a relational MySQL database to fill the repository with relevant data, which can be used for analytical work OLAP cube.
Communication with the customer: defining goals, wishes, forming requirements for the final product.
Close cooperation and coordination of 1C developers, and outsourcing OLAP Architect.
End-user communication: technical support, end-user training, data troubleshooting.
Working with the data warehouse: data analysis, creating queries to the database to find the causes of data inaccuracy.
Database administration: adding users, assigning rights, setting up service mailings, creating tasks for the database. Creation of manual and automatic backups for data storage and OLAP cubes, creation of tasks for automatic updating of database storage with current data.
Work with OLAP cubes: creation of sections, processing of OLAP cubes (full, updating, processing of separate sections).
Working with the BAT analytical program: administration, creation of users, user groups, reports, creation and management of access rights, connection of OLAP cubes, creation of automatic mailings.
Other skills: installing software to develop the OLAP cube on the server, installing the BAT program, deploying a web server and mail server for the BAT program, transferring software to the cloud server.
Position: Data Analyst
Category: Data Analyst
Experience: 10 years | English: fluent


Creating high-level design concepts and supporting talented developer teams for various projects
 Relaunched and redesigned the f2p racing game Highway Getaway for a casual market with
significantly improved ad revenue and retention for Google Play and App Store
 Increased conversion rates and significantly lowered the total acquisition costs for the f2p rider game
Gravity Rider Zero (Android, iOS) using data-driven design and A/B testing methodology.