lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst/Product analyst
Category: Business Analyst
Experience: 11 years | English: pre


Performing functions of business analyst and "product owner" of lending/ restructuring process systems (CRM Siebel, BPM PEGA, SAP CMS, OFSAA, IBM FileNet). Writing business requirements, communicate it to developers, testing and monitoring deadlines.
	Conducting presentations, training events and consultations for users of systems. Preparation of instructions and additional information materials.
	Prepare monthly bank's loan portfolio analysis and reports: conduct data analysis, construct and evaluate calculation models, finalize results into reports.
	Communicating bank's loan portfolio state to auditors and NBU representatives.
business/ data analyst with 15 years work experience in bank system;  business analysis and project management experience with credit process IT systems in bank; data analysis of credit risk portfolio; analytical reports creation for top management.
Position: Data Analyst/Product analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


Skills:
- Python (pandas, numpy, sklearn, pytorch, matplotlib, opencv, pymc3)
- SQL(BigQuery, Postgresql) & NoSQL(MongoDB)
- Business intelligence tools(Data Studio, Tableau, Looker, Google Spreadsheet)
- Data analysis and visualisation
- Classic machine learning & deep learning
- Big Data
- Other: AppsFlyer/Adjust, AirFlow, Git, Google Analytics, GTM, Firebase
Position: Data Analyst / Product Analyst
Category: Data Analyst
Experience: 2 years | English: upper

Self-motivated and responsible data analyst with experience in
ecommerce.
My skills:
• Good mathematical background ( statistics and probablility theory, calculus, linear algebra )
• Advanced concepts of the Python programming language
• Knowledge of Python packages like NumPy, Pandas, Matplotlib, SciPy, etc
• Able to conduct statistical analysis of any kind ( regression, classification, hypothesis testing,
descriptive analytics, predictive analytics, prescriptive analytics )
• Using SQL queries to extract needed data
• Proficient in Excel / Google Sheets
• Able to create visual reports using Python or PowerBI
Data Analyst
(September 2021 - Present)
Developed model to automate supplier selection process, resulting
in significantly decreased time to process order and achieving 95% accuracy.
Created model for inventory management that minimized the
number of replenishments, resulting in profit increase.
Conducted customer segmentation to help marketing team create
a promo campaign.
Build various ad-hoc reports and gathered insights to help
stakeholders make data-driven decisions.
Position: Data Analyst / Product Analyst
Category: Data Analyst
Experience: 1 years | English: upper

Below my the most significant achievements from the latest place of work (brightfin):
1) Ardent Health Services: Onboarding of new billing accounts
Ardent Health - one of the biggest healthcare group in US.

Problem: AHS has lots of local departments (facilities) which pay invoices by themselves (lot of missing invoices, late payments fees…) > AHS doesn't have visibility of charges and cannot manage it.

Task: integrate new billing accounts that were processed by local departments to brightfin system.

Result: +334 new accounts in 3 months, total monthly amount $650K. Full visibility of charges and allow payment on corporate level.


2) Nokia: Inventory reconciliation & clearance
Problem: due to inaccuracy of downloaded data to the system (data sources, incorrect uploads) and absence of data audit  > mess in the inventory (85k records): duplicates, blank records...

Task: to clean up inventory and make reconciliation.

Result: clear inventory in 3 months +founded mismatches in golden source
MY THE LATEST WORK EXPERIENCE:
brightfin | software provider of TEM and ITFM solutions for enterprises
Service Delivery Specialist | 08.2022 – 05.2023
- working closely with Client Delivery Manager. Back up DM.
- manage operational tasks.
- preparing presentations and reports (QBR, savings reports, etc.).
- handling weekly / ad-hoc calls with projects’ stakeholders.
- collaboration with R&D, Implementation, Ops departments.

Data Quality Analyst | 09.2021 – 07.2022
- data quality check.
- data audit (detect, analyze, and resolve discrepancies).
- participating in calls with customers.
- preparing documentation (guides, comparison spreadsheets)


EDUCATION:
Kyiv National Economic University | Finance

ADDITION COURSES:
Lemberg Solutions: Data Science Camp 2023
DAN.IT: BI (Data Analytics) Course


MY DATA ANALYTICS PROJECTS:
1) Hospitalization Hypothesis Testing. This project represents analytics research and hypothesis testing of COVID injured patients of Apollo Hospital. 
Main goals are to find out which factors are significant in predicting the viral load for different regions of Delhi and understand how well some factors like viral load, smoking, and severity level describe the hospitalization charges.

Tech. used:
Python: NumPy, Pandas, SciPy, Statsmodels, Matplotlib, Seaborn
Statistics: T-Test, Multi-factors ANOVA, Regression, Tukey HSD, Shapiro-Wilk, Levene's Test

2) Airbnb Market Analysis. The goal of this project is to analyze, understand, visualize, and communicate the demand from guests and hosts' supply in Dublin.

Tech. used:
Python: NumPy, Pandas, Matplotlib, Seaborn

3) Pizza Restaurant Ops Report. Goal of this project is to build dashboard for Operation Manager of Pizza Restaurant to improve operations and visibility of the restaurant performance.

Tech. used:
PowerBI: PowerQuery, DAX, Dashboard design and interaction
Position: Data Analyst | Product Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

During my data analysis study I prepared pet projects:
1) data visualization in Power BI - analysis of information on Ukrainian exports by a breakdown by product category, country, calculation of dynamics
2) data analysis in Python - monthly analysis of information on Ukrainian exports with data downloaded via API, with a breakdown by product category and calculation of dynamics
•	15+ years of experience in marketing, market research & analytics
•	0,5 years of educational and work experience in data/product analysis 
•	Huge experience in analysis for business decision-making
•	Strong analytical skills
•	Good knowledge of statistics and math
•	Experience with SQL (PostgreSQL, MySQL, MariaDB)
•	Experience with Power BI 
•	Educational experience Python (basic level)
•	Experience with the online product
•	English - Pre-advanced
I would like to continue my career in data analysis /product analysis.
Position: Data Analyst, Product Analyst
Category: Data Analyst
Experience: 2.5 years | English: upper

Academic projects:
* A complete cycle of real-time data collecting, preparing, fitting, and forecasting project about NBA season statistics and forecasting matchup outcomes, using Docker, BeautifulSoup4, FastAPI, and Scikit.

* Complete cycle but with finetuning LLM instead of building from scratch for Named Entity Recognition problem for matching CV and Job descriptions from 5+ web resources.
Ukraine agriculture time series data decomposition and research of the best performance model.

* One semester in New York Tandon School of Engineering, studying data science and analytics.

Personal achievements:
* 6 months as an Analyst in a European product startup in the domain of Health&Beauty. Сovered all the analytical and data engineering questions by myself and collaborated with developers to improve the back end regarding data manipulation and communication with investors and B2B clients.

* 1+ year of experience in an outsourcing company, direct communication with stakeholders, transforming business requirements into technical tasks in Jira.
Data / Product analyst with 2+ years of solid business experience in product/outsourcing companies, freelance
+ 1 year of related academic and internship experience.

I can work either in a team or on my own, establishing ETL pipelines (preferably GCP) and building real-time refreshing dashboards in Tableau/Looker/Looker Studio/Power BI with clear delivery to the end-user.

I used to work with freemium-modeled mobile applications, performing product analysis (LTV, churn rate, users stickiness, conversion rate, etc.) and events setup (Amplitude/Google Analytics).

I also worked as a marketing analyst, creating data extraction scripts with Python and analyzing marketing campaigns launched in META Pixel or TikTok.

Last but not least, I perform solid and precise ad-hoc analysis, including specific approaches from the perspective of Probability & Statistics, Linear algebra, classic data science, algorithms, and economics.
Position: Data Analyst, Product Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


FLIME by Gismart, Discovery Analyst (1 year):
- Established concept and hypothesis testing.
- Made and updated benchmark system Brainstormed for ideas for future concepts Interpreted, and tracked various data of huge number of test results, created various reports
- Analysed hyper-casual mobile gaming market
- Visualised gathered information and presented it to different colleagues.

TUT.BY media, Project Coordinator (4 years):
- Run advertising native projects from start to delivery
- Monitored projects performance 
- Established performance report system 
- Monitoring the market and developing competitive analyses, financial analytics, cost estimating, SMM promotion 
- Maintained project documentation.
Position: data analyst, product analyst, BI analyst
Category: Data Science
Experience: 3 years | English: upper


I am 5+ years experience analyst and strategist of tv users data at one of the ‘Big Five’ Advertising Company (business domain media advertising). Worked with lots of Fortune 500 Clients and was accountable for 50+ mio UAH yearly volume turnover. 
Responsible for yearly media strategies and full media data analysis and pricing to perform maximum marketing return. Development, modelling and delivering media performance metrics: media mix efficiency, cost per mix contact, cover and cost per effective cover. Creating data models for users and competitors behavior prognosis, market demand/supply forecasts. Implementation of new tools for work flow automation, building the BI reports and dashboards system (from Excel to PowerBI), designing and maintaining DB for the department (from Excel to SQL) and defining the data to be collected. Proficiency at Excel (Complex formulas, Pivots, VBA, Solver), PowerPoint and industry dedicated softs. Experienced with Power BI, Google Data Studio, SPSS, Google Analytics, Bitrix. 
Now I actively master skills (1+ year) at: MySQL - experienced, Python (Pandas , Pyplot) - Intermediate, R - basics.
Open for long term cooperation as Data/Product/BI analyst. Interesting and challenging tasks, friendly team, professional growth. Projects where I can take responsibility.
Position: Data Analyst, Product Analyst, BI Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Data Analyst
Seniordev AS
Sep 2022–Present

Working with some SeniorDev's projects providing product and BI analysis
Collaboration with the development team to analyze and interpret data to support business decisions for projects
Design and developing reports and dashboards using Power BI
Writing SQL queries to extract data from various databases (Heroku, Google BigQuery, Tripletex....)
Creating data visualizations using product and analytical data metrics to communicate findings to top management of projects
Position: Data Analyst, Product Analyst, BI Analyst, Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

- Completely moved company's analytics to metric dashboard in Power BI

- Automated screenplay generation based on fiction books teamwork project (Python, NLP)

- 3rd place in 12th Europian Best Engineering Competition 2020
I have been leveraging data analysis to answer business questions for half a year.


The list of all my positions:



**Junior Product Analyst at Lalafo (3 mos)**

• Investigated ways to increase various users conversions with SQL, Python

•  Visualized users stats in Tableau to help improve the product



**Junior Data Analyst at GlobalLogic (3 mos)**

• Restructured and improved metrics dashboards in Power BI/Data Studio

• Created valuable HR & Sales documentation for dashboards
I aim to continue helping companies leverage Data Analytics & Data Science and advance myself professionally and personally.

I am open to any offers in the Data Analytics field, willing to start shortly.
Position: Data Analyst / Product analyst / BI Developer
Category: Data Analyst
Experience: 10 years | English: fluent

Working with McKinsey company at the biggest retail bank of the country on a project of "Transformation" which was aiming to optimize Business Processes and calculate required employee count for the branches. My role was to support "Change teams" with data, reporting and calculations. Established a Business Model to calculate required employee count. Have used Statistical approaches and worked on DataWareHousing projects.
I am an experienced Business & Data Analytics specialist with advanced Excel, SQL, Power BI skills and work experience in financial industries, Retail Banking, Investment bank (Risk Finance and Treasury) and Telecommunication.
My previous jobs required Business Modelling, Data Analysis, Business Intelligence, Data Warehousing, Data modelling during my daily job. I have created and managed analytical reports, automated management reports which was based on SQL connections, and have provided reports in Power BI, Excel, Tibco etc. I have been Excel trainer for the largest retail bank of the country and have taught SQL along with Excel. During my last 2 jobs, I have improved R and Python skills. Also gained technical skills like working with Git Hub, Agile and Kanban, Jira, Autosys etc.

EXPERIENCE:

1. Telecommunication sector:

Writing SQL queries and mining databases to get target data
Microsoft R, Python for data mining, cleaning and data modeling
Analysing customer data and creating visualization reports with MS Excel, 
Providing KPI and performance indicators analysis to management in MS Power Point
Customer segmentation and analysis to issue new products
Building models in Excel to automatically pull data, analyse and provide visualized results
Regular reports on major KPIs
Customer churn analysis and CRM
Provide analysis on product, service and solutions
Conduct market research and competitor analysis.

2. Retail Banking sector

Daily, weekly, monthly reporting, visualization and data analysis
Usind Excel and Power BI for data modeling and data visualization
SQL Querying and creating data models in conceptional and logical phase using star model
Create relantionships (one to one, one to many) between tables, provide dimension and fact tables for reporting
Building several business models to calculate KPIs and metrics
Calculating the year-end forecast according to monthly sales of Branches.
Analysis of business effectiveness, financial analysis, average service time, average waiting time
based on data of electronic turnover system in branches
Business process and Labor demand analytics - built FTE calculation model in Excel
Mostly used tool(s): Excel (advanced), SQL, Power BI.
I am looking for a company where I can apply my experience
and improve my data analytics skills.
Position: Data Analyst, Product Analyst, Data Engineer
Category: Data Analyst
Experience: 3 years | English: intermediate

23.06.2021. Received a distinction from the National Academy of Sciences of Ukraine for young scientists.

Building analytics from scratch (architecture creation and full automation of processes (using GCP)).
Analyst with 3 years of experience. I am proficient in the following tools: 
• Excel (Power Query, Power Pivot, DAX);
• BigQuery, MSSQL, MySQL,  MariaDB, DBeaver;
• Looker Studio, Power BI, Zendesk;
• Python (Pandas, Numpy, Selenium, Request);
• Docker;
• Terraform;
• GCP (Cloud Storage, Cloud Run (jobs), Artifact Registry, BigQuery, Data Transfer, Pub/Sub);
• Git;
• Google analytics (GA4), Google Ads, Facebooke (developer, pixel), Admitad;
• Vertex AI.


WORK EXPERIENCE:
Data Analyst
hotline.finance, Kyiv / January 2023 – present time
•	Development and support of the data platform (GCP, Cloud Run, BigQuery, Python, Docker, Terraform).
•	Building analytics from scratch (architecture creation and full automation of processes (using GCP)). (Work with google ads, Facebook, Admitad, Google Analytics (GA4)).
•	The full cycle of creating dashboards (from 0, from prototyping to implementation and support, automation and upgrade). (Looker Pro, Looker Studio (Data Studio))
•	Calculation of client metrics LTV, ARPPU/ARPU, MAU, DAU, CAC/CPA (for app and web).

Inventory Analyst
Fora, Kyiv / March 2022 – December 2022
•	Report automation (using Python (Numpy, Pandas, Pyodbc), R (dplyr, tidyr, plotly), SQL.

Data Analyst
Fozzy Group, Kyiv / January 2021 – March 2022
•	Traffic forecast (calls, letters, chats) by month, day, hour, 15 minutes. Calculation of the required number of staff.
•	Development of various reports (using Power Query, DAX, Excel, Power Pivot, Zendesk, Power BI, SQL).
•	Monthly reports (calculation of operators' salaries (according to KPI), key indicators of Call Center, etc.).

Research Engineer
Bakul Institute of Superhard Materials of NASU, Kyiv / November 2019 – December 2020
Position: Data Analyst, Product Analyst, Data Scientist
Category: Data Science
Experience: 1 years | English: upper


Used SQL Server Management Studio to implement changes in databases requested via clients of internal business systems.
Collaborated with cross-functional development team members to analyze potential system solutions based on evolving client requirements.
Participated in testing modules for new releases of business systems on every stage of it (Training, UAT, Production) as a part of the BSS team.
Categorized incidents according to SLA standards and to relevant resolution teams, provided transparent communication to clients; used professional and high quality Business English in the incidents.

Using Python to build optimization methods.
Implementation of numerical methods in Python.
Training project: creation of a neural network that classifies images of waste into organic and inorganic, using the fastai Python library.
Coursework: Analysis and prediction of the popularity of the top 50 songs according to Spotify. 
Attempt to create multiple startups.
A good team of specialists who will be able to point out mistakes, in which case - to consult;
Data analysis, product analytics, application of machine learning algorithms for data analysis, creation of visualizations.
Position: Data Analyst/Product Analyst/Data Scientist
Category: Data Analyst
Experience: 0.5 years | English: upper

Took first place in Int20h Hackathon 2023 with uklon as a main sponsor.
I was rated among the top 10% of students in my faculty in the first year, also successfully finished numerous courses on Coursera. 
Additionally, as a little soft skills accomplishment, I was chosen as the headman of my group at the university.
Data Science Content Developer at Codefinity (Genesis)
Developed educational content for courses, mainly on Machine Learning and Statistics. 
Collected and analyzed user feedback to improve the content.
Worked in a team to develop courses and tracks(sequence of courses) as fast as possible.
Was responsible for analytics of content, making weekly presentations, scripts for dashboard and ad hoc queries. Used pandas+BigQuery for that.
I expect to find a challenging job with experienced colleagues to quickly gain experience and improve my skills.
Position: Data Analyst, Product Analyst, Data Scientist, Data Analytics Engineer
Category: Data Analyst
Experience: 2 years | English: upper


Experienced data analyst with expertise in statistics, data visualization, and programming languages such as SQL, Python, and R. With a focus on data quality and accuracy, I am able to identify trends and patterns that help drive informed decisions. Strong communicator and collaborator with a passion for leveraging data to drive business success.
Position: Data Analyst/ Product Analyst/ Operations Analyst/ Business Analyst// Operations manager
Category: Business Analyst
Experience: 3 years | English: fluent

Ability to deliver measurable results
In 5 years in IT I went from sales and support to analytics. Working as Lead Operations Analyst for the last  10 months.

Responsibilities in recent role:
- Leading data discovery team
- Using logs, Salesforce and QueryTree to collect information
about issues
- Improving current business process and implementing
automation
- Writing and discussing technical requirements
- Tracking development and implementation of new features
- Lead communication between operations and development
- Doing research and preparing reports related to various projects
- Analysis of support load and customers issues
- Creating resource, performance, incident and other reports
Achievements:
∙ Creating tools that enable support to deal with cases in half of
the time
∙ Separating issue types and change priorities increasing
efficiency
∙ Adding a number of features to be able to track and eliminate
gaps in customer service quality
Friendly and professional team, structured and defined workflow, defined scope of tasks
Position: Data Analyst/ Product analyst/ Power BI Developer/
Category: Data Analyst
Experience: 9 years | English: intermediate


My work experience:
Analyst of consolidated information, Holding of emotions ! Fest,  from 2013 to May 2023.
My job experience:
- collection, aggregating and analyzing big volumes of data from different sources;
- ad-hoc analysis;
- customer and sales analysis;
- cluster analysis with SPSS statistics;
- measuring the effectiveness of marketing campaigns and analysis of the work of employees (waiters);
- marketing researches;
- report's visualization and interpretation;
- periodic reporting and automation with Power BI (main connectors SQL and MySQL databases, nontrivial measures in DAX, writing SQL scripts, row-level security settings and etc.)
My goal is to try myself in new projects, using my own experience and skills
Position: Data Analyst, Product Analyst, Product Manager
Category: Product Manager
Experience: 5 years | English: upper

*I am a QA Analyst with 5 years of commercial experience. 
TEAMS: from 4 to 200+ people
COMPANY's type: outsourse, outstaff, product
PROJECTS (EU/USA/UK-based):  e-commerce, data storage, external API integration, Salesforce.  
*Communication across different teams (from Devs to Designers / PO / Sales) and levels (from junior to C-level)
My expertise includes:
*conducting data quality checks (new integrations or maintenance of existing data)
*User flow analysis, mind maps, and flow diagrams creation
*Internal and external (for clients) demo presentation
*Product research and requirements documentation
*Creation, and optimization of well-structured test documentation (low and high level), diagrams, user flows, and mind maps 
*User/support guides creation, onboarding knowledge sharings, QA interviews 
*Continuous support and troubleshooting of customers' issues  
*Locate and define new process improvement opportunities
*test design; smoke, regression, ad-hoc test execution; bug reporting, UI/UX, functional testing, API testing (Postman, Swagger, Workbench)
*end-to-end scenarios creation for further automation
*managing and splitting tasks
*integration testing (mainly with Salesforce CRM)

NON-COMMERCIAL experience: 
*Lecturer, content writer, websites admin, book editor, Organizer of interdisciplinary scientific events
*10 years in management of scientific national and international projects. Project Lead (5 people) for 2 years.
A friendly and motivated TEAM,
COMPANY with solid and transparent values,
PROJECT with a focus on data analysis