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


-	Database management
-	Make data structure on MS Visio
-	Decompose formulas
-	Write technical specification according to customer requirements
-	Formulate the problem to developer 
-	Analyze Methodologies of IRFS 9 for the Banks of Republic of Kazakhstan
-	Test data load, classification and calculation of the system using SQL-queries
-	Negotiate with the customers
-	Project evaluation
PROJECTS 
-	develop Provision System due to new standard IFRS 9 in 4 Kazakhstan banks that includes modeling PD, LGD of credit portfolio and financial risks
-	developed Operational Risks business processes
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Data & business analyst with more than 5 years experience of working in the FMCG industry, providing valuable expertise to business development, sales forces and planning divisions. Worked with multifunctional projects and build from scratch database, automatically updating reports and various documents related to reporting/analysis.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


• Data Cleaning and Data Visualisation using Microsoft Excel.
• Data Analysis and Data Visualisation using Tableau.
• Data Analysis and Data Visualisation using Microsoft power BI.
• Database management using Postgre SQL.
• Database management using MSSQL
• High proficiency in Analysis using SQL and Python.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


Data cleaning and visualization with the use of Excel, PowerBI, and Looker since January 2023 (tlll date) at Octave Incorporation
Practice in the use of SQL as well as Python at Future Academy Africa
Research Analysis with the use of SPSS, EView and STATA from 2020 till date ..
Position: Data Analyst
Category: Data Science
Experience: 2.5 years | English: intermediate


- data collection, preparation, and validation from several data sources
- automation of regular reporting
- building dynamic data marts from several business entities
- building analytic dashboards (Apache Superset, Metabase, Grafana)
- experience with data storage (hands-on experience with GCP: Cloud Storage, BigQuery)
- develop, support, and monitoring ETL pipelines (Airflow) 
- building different types of data analysis and deliver to customers: basic statistics, ad-hoc, LTV calculation, EDA, cohort analysis, RFM, anomaly detection, clustering clients, etc. 
- creation and support of project documentation (Confluence, Wiki,  Sphinx)
- collaboration with the backend and data engineering teams
- supporting other departments and projects with analytical calculations
2+ years of proven experience. Looking for a Data Analyst position where my analytical, data engineering, and data science skills would be an asset.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

Saw opportunities for improvement and proposed more efficient solutions and implemented many automations for processes, that previously were done manually. Most interesting case was regarding automation of interviews' transcripts preprocessing. I wrote a script that iteratively read each transcript, chose relevant parts and wrote it automatically to the appropriate word file. (saved about 2 human hours for each interview). Used simple NLP - matching questions via stemming and Levenshtein distance.
- Data collection: web scrapping, extraction via API from social media.
- Data cleaning and processing, EDA, ETL pipeline.
- Data analysis (hypothesis testing, a/b testing, confidence intervals, correlations, frequency tables, aggregations, respondents segmentation, linear regressions) Making visualisations and interactive dashboards (python matplotlib, Tableau).
- Misc. : created and managed a database of mobile phone numbers that came from raw collected data (RegEx), coded interview questionnaires (KOBO form), managed tracking of the data collection process with google sheets, conducted technical workshops, wrote documentation for scripts (Python and R).

Data Science Master’s Program, UCU [2020-2023]

- Understanding of fundamentals of Linear Algebra, Probability theory, Statistics, Calculus.
- Knowledge and application of classic machine learning algorithms. Ability to read, understand and prototype ideas from academic papers.
- Ability to quickly understand task, research best recognised practices, try several of them, compare results and choose the best one under existing conditions.
- Various learning projects. To name a few: prediction of car prices, recognition of person's movements from gyroscope data, building a recommender system, calculation of "fraudulence" score for politicians based on open declarations, 3D reconstruction, object detection.
I would like to avoid using old and manual ways of doing things (where possible) - I am interested in automating and making more efficient solutions (also where possible).
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate


Data-driven problem solver with marketing and manufacturing industry experience. Proven ability to use Excel, SQL, Python and data visualization tools to analyze data, identify trends and make recommendations for business development.
Successfully managed a team of 8 employees of UAB "Technogaja", going from an ordinary employee to a shift manager in a year. I was able to increase the production indicators of the department by 10%, thanks to the establishment of teamwork
Analyzed advertising campaigns to determine which campaigns were most effective.
Implemented new ideas based on analytics, which led to a 30% increase in sales.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

CompTIA Data+ Certified
Data extraction, transformation and aggregation using Excel and MS SQL (>30M rows)
Exploratory data analysis and data manipulation
Creating models to analyze and predict business needs via Python
Preparing advanced dashboards to enable data-driven decision making via Tableau
Quality analysis, anomaly detection, data cleaning and profiling using MS SQL
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


Data labeling and video annotation for sports sponsors in different leagues: This project likely involved working with sports-related video footage and labeling or annotating it to identify specific elements, such as logos or advertisements for sponsor brands. The goal of the project was likely to provide valuable data to the sponsors or the sports leagues themselves to track engagement and ROI.

EDA for Olympic data analysis: EDA stands for "exploratory data analysis," and this type of project would likely involve analyzing data related to the Olympic games. The goal would be to identify patterns and insights in the data, such as trends in athlete performance, medal counts by country, or changes in participation over time.

Tableau project for IT professionals with details on job titles, salary, and experience: This project probably involved using Tableau software to create interactive visualizations of data related to IT job titles, salaries, and experience levels. The goal of the project would be to help IT professionals or job seekers understand the job market and potential career paths.

Excel projects for Adidas dataset and McDonald's by creating interactive dashboards: These projects likely involved using Excel to analyze and visualize data related to the performance of Adidas or McDonald's. The interactive dashboards would allow users to interact with the data, such as filtering by time period or product line.

Power BI for food preprocessing dataset: Power BI is a Microsoft software tool used for data analysis and visualization. This project likely involved using Power BI to analyze and visualize data related to a food preprocessing dataset. The goal of the project would be to identify patterns in the data and gain insights that could be used to optimize food processing procedures.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


Data Management:-Determine the primary data and information elements required for the project's internal and external support. Create, manage, and maintain databases, spreadsheets, and other data tools. Understand, document, and ensure the accuracy, consistency, and comparability of high-value data. Consolidate operational data on a regular basis to aid analysis, and design and implement long-term information management and dissemination systems for data collection. To ensure data integrity and availability, develop and implement proper backup, restore, data validation, and security procedures.
Data Analysis:-Act as a focal point/central instrument for the collection, analysis, and dissemination of enterprise information.
Organize, design, and carry out the evaluation and analysis of operation datasets. Create data standards and provide guidance on their implementation. Participate in the creation, implementation, and administration of new indicators. Understand, document, and ensure the accuracy, consistency, and comparability of high-value data.
Visualization/Reporting:-Produce and update information products such as maps, charts and infographics by turning data into graphical products to convey messages and a storyline as well as support strategic and operational decision-making.
Training/Technical Support:-Provide maintenance and end user technical support in issues relating to the database use and administration, including trouble-shooting for data entry and access to the existing database.
Web Management :- Build / implement and/or update a web application for the company, which includes : content management system, news items, easy to use navigation system, document repository, statistics.
Working on the application and user setup of CMMS software, work order, work planning, and spare part functionality of the software. Provides workflow development and configuration and routinely monitors data transfer from and to the CMMS and other core business systems. Design, develop and manage databases, spreadsheets and other data tools. Develop and implement proper backup, restore, data validation, and security procedures to ensure data integrity and availability. Propose and implement upgrades to the database
webpage, data entry and data storing systems.
Coordination with Engineering, Information Technology (IT), and CMMS users to
facilitate the import and export of equipment, inventory, and other data. Adjust and update the CMMS system.
Position: Data Analyst
Category: Data Science
Experience: 10 years | English: upper

Team leadership within two projects funding by the Ministry of Education and Science of Ukraine. Both had a two-year duration. The last of them was finished recently (Dec. 2021).
 Expert of Scientific Council of Ministry of Education and Science in medical apparatus and devices in 2014 - 2017 years.
Data mining, analysis, and processing within the system of computer Math Maple-2016. I`m the professor of Black Sea National University at the department of computer engineering. My main area of expertise is the use of Maple for medical data analysis and visualization, including using Andrew's plots, Poincare Plots, digital filtering etc. My total experience in this field exceeds 10 years.
I speak Ukrainian, Russian and Polish, besides English.
I'm looking for remote-only work due to my disability (I am moving in a wheelchair).
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


Data Mining and Data Analytics Department Intern. Kazakhtelecom - Kazakhtelecom is the biggest telecommunication company in Kazakhstan. 
- Developed an geo-locational analysis of the market competitors for the marketing and sales department, thus leading to more focused propositions for possible customers using Python and 2GIS API
- Optimized data mining report, therefore decreasing number of errors arising in the report using SAS
- Continually provided data for the marketing and sales department using Oracle SQL

Business Analyst, Japan Tobacco International. JTI - retail company that holds most of the market share in the Central Asia and Mongolia region.
- Provided tobacco market split analysis using R and Excel
- Reported audit analysis of the tobacco sales in the vital sale points like chain
- Updated and controlled the data flow of the tobacco prices and maintained up-to-date state of the tobacco market state using R, Microsoft SQL, Excel

Junior Data Analyst, Kaspi Bank. Kaspi Bank is the fintech banking system that is one of the most significant bank by the user base in the Kazakhstan.
- Optimized and transferred the currently existing system of committee of financial monitoring using SQL
- Developed an model for identification of the lottery and financial pyramid organizers using LightGBM (accuracy 73%, ) 
- Deployed model of the classification of the fraudulent transactions on the bonus segment with 76% precision and 60% recall of all existing fraud in the segment via CatBoost

Main technological stack: Python, including but not limited to the data analysis and machine learning libraries sklearn, numpy, pandas, Catboost, LightGBM, and data vizualization libraries matplotlib, seaborn, SQL (Oracle, Microsoft), SAS Guide.

Minor understanding of C++, R and Power Bi.

Current role in the team is the antifraudulent analysis and model development on the bank's service segment. Would like to develop myself more in the ML/ DL side of the work.
Position: Data Analyst
Category: Data Engineer
Experience: 3 years | English: fluent

I resolved nearly all main projects in my current workplace. Mainly integration through different database servers, writing complex scripts to fulfill demands of BI and visualizations of them are tasks that I am very comfortable with. You can check my GitHub to get more information about my works.
On the other hand, software that i built with combination of Streamlit(Python)/Docker/Nginx reduced job of finance department by 70% with automatation of reports, email sending and reconcilation processs.
Data oriented developer with 3+ years of experience in project work and freelance jobs. Experienced in big data, ETL proccesses, data manipulation and vizualization and building models that fit the problem best. Skilled in machine learning, statistics, problem solving, and programming.
Mainly dynamic and strong team where I can focus on my tasks, learn from them and fulfill all demands of company.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

While working in Renovation Map, I created a script to automate time-tracking process of NCO's team by collecting tasks data from Asana and visualizing it using Google Sheets (particularly creating personal time tracking reports and analyzing time usage). It saved 8 hours of team's manual work monthly.

As a Junior Analyst in Vox Ukraine, I optimized and improved database of checked Ukrainian politicians statements on project «Антологія Брехні» by merging and structuring several unstructured databases.
Data Quality Analyst (June 2022 - Present):
- Support business decision-making by analyzing subscription and performance metrics
- Extract relevant data from the Data Warehouse using complex SQL queries
- Determining the causes of key metrics deviations from the expected values
- Ensure quality of data for all products and clients
- Analyze, plan, estimate requirements, identify risks involved and provide solutions to them


Head of Research Department, Renovation Map (August 2020 - May 2022):
- Managing teams of volunteers, that are researching info about abandoned historical houses using OSINT (open source intelligence) technics
- Developing scripts using Python for optimization inner NCO's processes

Junior Analyst, VoxUkraine (December 2019 - July 2020):
- Fact-checking statements by Ukrainian politicians and debunking economic myths spread by them
- Optimization and making improvements of databases
- Writing analytical articles that debunk fake news and conspiracy in social media
No tolerance to Russia affiliated companies
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


DATA REPORTING ANALYST, VISIQUATE, INC
Designed and created analytical reports, dashboards and subscriptions
in MicroStrategy reporting tool
Wrote complex queries, stored procedures for gathering required data
Development of SSIS packages
Setup of ETL process (extract from MS SQL Server Data warehouses,
DB2, csv./xlsx. files, etc.)
Development of complex ETL workflow in Alteryx (extract data from
txt., csv., xlsx. files, etc.)
Optimization of queries and saved procedures in systems
Performed data structure investigations
Setup ETL workflow (extract and transformation EDI files using of
edi parser)
August 2018 - August 2022

MASTER DATA TEAM LEAD, PJSC «SUN INBEV
UKRAINE»
Team management of master data department
Process optimization and standardization
Creation of process maps and descriptions for Master Data and
Pricing process
Master data efficiency increase
Organization of training for employees
Monitoring compliance with all legal norms and policies
Communication with external and internal clients, implementation of
SLA / KPI (performance indicators)
March 2018 – August 2018

CREDIT CONTROL ANALYST, PJSC «SUN
INBEV UKRAINE»
Control and analyzing of account receivables, approving of shipments
Leading of credit control standardization process in European
countries
Leading of pricing automation process in SAP
Creation of account receivables reporting
September 2011 – March 2018

FINANCIAL SPECIALIST, PJSC «SUN INBEV
UKRAINE»
Processing of primary documents (uploading of data into the SAP
system)
Preparation of reconciliations acts with counterparties
Implementation of the internal control over the quality of processed
documents
May 2010 – September 2011

ACCOUNTANT, KHARKOV STATE COLLEGE OF
TEXTILES AND DESIGN
Working with primary documents, bank statements, cash documents
Preparation of reconciliations acts with suppliers
August 2009 - May 2010
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent


DATA SCIENTIST - BLUE MOTORS FINANCE
MARCH 2022 – DECEMBER 2022
 Extracted data from the company’s data base using MS SQL
 Cleaned and pre-processed data
 Built a loans collections prediction model using Python
 Mentored a team of intern Data Analysts

DATA ANALYST - MTN COMMUNICATIONS PLC
MARCH 2019 – FEBRUARY 2022
 Built a churn prediction model using R
 Collaborate with cross-functional team members to understand business needs, formulate, and complete end-to-end analysis,
including methodological design, data collection, analysis, and presentation of key findings.
 Built the data and reporting infrastructure from the ground up using Power BI and SQL.
 Worked as part of an Agile Delivery team to deploy new features and upgrades on the app
 Developed root cause reports addressing problems with customer conversions.
 Led a team to carry out periodic and transactional customer surveys such as; Customer satisfaction surveys, NPS surveys, and Customer Effort Score surveys.
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: upper


Data Scientist/Data Engineer with math background and 1+ years of experience in building data-driven solutions. Passionate about solving different problems alongside learning something new.

For most of my relevant experience, I worked for an outsourcing company as a data science mentor. As a member of the R&D department, I worked on mostly short/mid-term projects and internal ones for the company itself.

My experience is balanced between Data Science and Data Engineering, sometimes dealing with both roles on the same project. you can find details on the latest projects below.
Friendly environment, flexibility of working hours and synergy in the team.
Position: Data Analyst
Category: Data Science
Experience: 1.5 years | English: upper


Data Scientist who strives to pose and answer questions with quantitative-driven insights.Has experience working with data mining tools such as Python, SPSS, R, Tableau and SQL Proven knowledge in expanding existing data collection and data delivery platforms.

Sales Dashboards for Digital Marketing Company
Illustrated map shows total Sales by Region for the entire company history. 
Illustrated Treemap of Sales by Region and Subcategories Time-Series of Sales growth by quarter and Customer Type Used Complex Design Tools, titles, filters, dashboard actions for getting better view Python McKinsey(2022)
Participant of Pro hack : International Data science Hackathon by McKinsey & Company .I was always on the lookout for machine learning projects and competitions; The McKinsey hackathon gave me an opportunity to compete for a new job, which was a nice bonus. Plus, I was curious about the type of problems McKinsey would present. It was great experience to compete with professionals all over the world and learn from different solutions.

Performance Analysis with Tableau(2022)
NLP with R(Keras) (2022)
I am provided with data containing public comments from social platform .I have been asked to classify toxicity level of comments. I used tokenization method to prepare comments for models. Build my model using Google BERT Algorithm and Keras library.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent

I am a Certified Tableau Consultant and Power BI Developer
- Data Visualization Specialist at E2E Group since 3/2022
- Developed a data model and ETL process for structuring data as needed to support data visualizations using Tableau and SSRS
  - Built interactive dashboards with different functional teams to provide insights and recommendations based on data analysis
  - Used SQL and other database tools to query, manipulate and validate data sources
  - Worked with internal staff and external clients to provide subject matter expertise and guidance on data visualization best practices
- Data Visualization Specialist at PATH from 2021 to 2022
- Used Tableau and Power BI to develop data preparation workflows for cleaning and structuring data as needed to support the data visualizations
  - Created engaging and informative dashboards with various types of charts, maps, filters, and parameters for different audiences and purposes
  - Collaborated with project managers, analysts, and stakeholders to understand business requirements and deliver solutions that met their needs
  - Conducted quality assurance testing and troubleshooting of data visualization products
- Developing ideas to create effective and user-friendly dashboards for data visualization
- Having a great understanding of data schemas and how to use them to support data analysis and reporting
- Applying best practices and standards for data quality, security and integrity