lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data analyst / scientist (preferably in fintech) / Risk analyst/Financial analyst / Investment analyst
Category: Data Science
Experience: 3 years | English: upper

Career progression in Financial company due to fast development in data analysis tools using.

Career progression in OTP due to fast development as analyst.

10.2019 — passed course (Coursera): Python and statistic for Financial analysis (The Hong Kong University of Science and Technology)
12.2019 — passed course (Coursera): Guided Tour of Machine Learning in Finance (New York University Tandon School of Engineering)
01.2020 —  passed course (Coursera): Databases and SQL for Data Science (IBM)
01.2020 — passed course (Coursera): Python for Data Science and AI (IBM)
02.2020 — passed course (Coursera): Data Analysis with Python (IBM).
03.2020 — passed course (Coursera): Data Visualization with Python (IBM).
05.2020 — passed course (Coursera): Machine Learning with Python (IBM).
12.2020 — passed course (Coursera): Fundamentals of Machine Learning in Finance (New York University Tandon School of Engineering)
04.2021 — Passed specialization (Coursera): Investment Management with Python and Machine Learning Specialization  (EDHEC Business School)
.
Financial company
05.2021 — 11.2021 — Senior Portfolio analyst (Senior Financial data scientist/analyst)
09.2020 — 04.2021 — Portfolio analyst (Financial data scientist/analyst)


OTP Bank Ukraine:
03.2019 — 04.2020 — Financial analyst (Credit analyst: Expert in SME Risk management department)
11.2017 — 03.2019 — Financial analyst (Credit analyst : Specialist in Credit analysis department)

2017 — Logistic specialist in Sumatra LLC (network of shops «СOSMO»)
2016 — Credit specialist in Bank Trust.

Looking for Data analyst / scientist (preferably in fintech) / Risk analyst/Financial analyst / Investment analyst positions.
Expectations:
Using python, ML, data analysis, data visualization tools on the reular basis.
Rather low share of mechanical tasks.
Significant part of intellectual content in my future tasks.
Position: Data Analyst / Scientist (Remote)
Category: Data Science
Experience: 1.5 years | English: fluent

I am currently a second-year master student in Big Data Management & Analytics at CentraleSupélec (Paris, France), with 1.5 years' experience in data and business analysis. Holder of the French Government Scholarship.
On my first internship at the position of a Data Analyst Intern at a payment gateway, I have been working daily with SQL, Tableau, and Python. I've been using Tableau for constant monitoring of payment transactions' databases, improvement of the existing real-time reports, and preparing daily/weekly/monthly reporting and analytics for the team. In the meantime, I was using Python and SQL to build a data reconciliation software to compare our internal databases with data from other sources in the payment process chain.

During my time on the position of Business Analyst at the consultancy company, I was also working in the data department and was using Python and SQL to build solutions for our clients' needs based on a preliminary analysis of their real business needs and available databases. I was also using Excel and PowerPoint to work with clients' data and prepare visualized presentations for clients.

Working as a System Analyst at a logistics company, I entirely focused on developing an internal warehouse management tool. Primarily, I analyzed the current state of a deal, rebuild a database structure to fit my planned web solution. After, I developed an online portal using Python (Django) technology for the back-end. The tool itself is a real-time data-driven web tool for visualization and management of all warehouse activities, with multiple users. Also, I was using Tableau for regular reporting.

For my personal project, I also dived deep into the recommender systems field and studied content-based and collaborative filtering. These approaches are based on different data mining, machine learning algorithms to predict users' ratings of unrated items, and user similarity.
Position: Data Analyst / Senior Data Quality Engineer (remote Part-time only)
Category: QA
Experience: 9 years | English: fluent

Microsoft Certification exam: 70-461: Querying Microsoft SQL Server 2012
Microsoft Certification exam: 70-462 Administering Microsoft SQL Server 2012 Databases  
Microsoft Certification exam:  70-463: Implementing a Data Warehouse with Microsoft SQL Server 2012
MCSA (Microsoft Certified Solutions Associate): SQL Server 2012
•	 Result focused and customer oriented software testing engineer with 7+ years of professional experience in IT;
•	 Understanding of QA Principles, QA Process, Use Cases and Software Development Life Cycle: Agile & Waterfall;
•	 Experience in BI/DWH testing, designing Test Scenarios/ Cases/ Test Data/ Bug Reports creation and mapping document analysis;
I have BI/DWH tester background( tested ETL, DWH items, have experience with the creation of complex SQL queries for testing and data analysis). Would like to combine Business Analyst/Data Analyst and Quality Engineer skills. 
Interested in Part-time job.
Position: Data Analyst sql
Category: SQL
Experience: 3 years | English: pre


Currently, I work as an Middle Analyst at Kyivstar.

My responsibilities are:

- working with databases, uploading scripts of various complexity (Oracle);

- analyzing customer experience metrics in a telecommunication sector (NPS, CSI);

- preparing post-launch analysis of business activities with further recommendations;

- developing and launching ad-hoc surveys for customers;

- preparing presentations on a regular basis for decision makers.

My position 
Being only Analyst in the Customer Experience Department I play a leading role in data operations, providing statistical information, trends, patterns and recommendations.

Now I’m open to new challenges, projects and complicated tasks and would like to use my hard and soft skills to develop in the field of analytics within the IT sector.
Position: Data Analyst, SQL Analyst
Category: Data Analyst
Experience: 5 years | English: upper


Head of Analysis Department, Risk division
BLG Microfinance (Blago) 07/2019 - now
	Development/creation reports and views in MS SQL Server Management Studio/Report Builder (SSRS)/ Power BI
	Evolve data analytics processes and architecture
	Monitoring of data quality and finding mistakes
	Writing new requirements for software
	Migration datas from 1C to Datamart and creation reports
	Optimization reports and proceses

  
Leading Specialist, Retail Risk Division
First Ukrainian International Bank 04/2018 — 06/2019
	Development and analysis data sources generation algorithms for processes and reports of the retail risk department
	Formulation business requirements for creation and / or filling in data sources
	Implementation of data quality monitoring

Manager of cards and retail products support team
Raiffeisen Bank Aval 03/ 2011 — 03/2018
	Optimization of processes: creation databases in MS Access and SQL queries;
	Writing algorithms for creation reports in bank software;
	Performing testing: functional, positive, regression, acceptance; 
	Participation in development new software: writing business requirements and algorithms, participation in focus groups;
	Analysis of income and accounts receivable in retail banking;
	Services support, calculation of commission: "Payments through the branches", "Payments through the self-service terminals", "Direct-Debit", "Payment through ATM", Raiffeisen Online Internet-Banking, acquiring; calculation with accredited insurance companies; calculation of income tax for individuals and military collecting.
To work and develop as data analyst in interesting project with professional team.
Position: Data Analyst/ SQL developer
Category: Data Analyst
Experience: 6 years | English: fluent


Data Acquisition and Management:
Managed the data acquisition process for several core projects for the bank.
Worked with stakeholders to gather data from a variety of sources, clean, transform and deliver the data.
Very experienced in complex data schemas, complex business logic, and complex SQL. (Oracle OCA)
Worked with financial, accounting, inventory, customer, and product data.

Data Visualization and Analytics:
Built data visualization layers for financial departments.
Used data visualization tools to create dashboards and reports that help to make financial data more understandable and actionable.
Experienced in Tableau Desktop.
Use data to identify trends, make predictions, and improve decision-making.
Python for data analytics (numpy, pandas) and visualization.

Data Modeling and Database Design:
Experience in full DWH migration
Experience in data modeling and database design.
Experience in Oracle, MS SQL Server, Sybase IQ.

Financial and Banking Knowledge:
Understand the different types of financial products and services.
CFA Level 1 exam passed.

Other Skills:
Experienced in creating stored procedures, functions, and triggers in PL/SQL and T-SQL.
Experienced in SQL Tuning for Oracle DB
Open for negotiation
Position: Data Analyst / SQL developer/ BI Developer
Category: Data Analyst
Experience: 3 years | English: fluent

- SQL Oracle certification.
- SQL for Data Science from University of California (certificate of completion)
- Analyzing and Visualizing Data with Microsoft Power BI (certificate).
- Financial Accounting (F3) exemption
- Developing SQL databases and writing applications to interface with SQL databases.
- Building database prototypes to validate system requirements.
- Maintaining data quality and overseeing database security.
- Analyzing existing SQL queries for performance improvements.
- Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
- Analyze data using statistical techniques and provide reports.
- Preparation of data reports and dashboards in Power BI based on the data provided.
Position: Data Analyst, SQL Developer, Business Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate

Strong skills in data analysis, SQL, Python, and BI tools
Excellent written communication skills, able to communicate analytical findings to non-technical stakeholders
Project management experience, consistently delivering high-quality work on time
Experience working with global remote teams
Background in engineering and data science training
Demonstrated ability to analyze trends, data issues, and insights, and to build and maintain reports, models, and visualizations
Experience working on a variety of data analysis projects, including analyzing crypto and financial data, exploring and visualizing customer data, and representing COVID data.
I am a Data Analyst with 3+ experience. I help organizations translate business requests into presentable, readable and understandable data by cleaning, preparing data to compute KPIs and perform analysis. I also analyze datasets to uncover trends, patterns and Insights that facilitate help in decision making (Help guide strategic planning, use existing data to forecast future performance, etc.)
I'm an analytical thinker exploring practical projects. I have successfully engaged and delivered multiple analytical works, built projects over the past three years on freelance, part-time, full-time and personal work models. I have completed tasks using tools such as python scripting, SQL, Tableau and Power BI. Some projects which I led include Business Sales Insights projects, Deduplication of organizational Dataset for stakeholders, Airline Ontime Performance Metrics projects.
Technical Skills & Tools: Market Research, Analytical thinking, Slack, Google suite, MS Office suite, Business intelligence and reporting tool (Tableau), Data mining & visualisation, SQL, PostgreSQL, Python, Jupyter Notebook, VSCode etc.
Position: Data analyst / SQL Server DBA
Category: SQL
Experience: 10 years | English: fluent


PROFESSIONAL SUMMARY
Extensive experience in 
•	Data Analysis, SQL Server DBA
•	database administration, design, modeling, and
        development
•	design and implementation of ETL from different data 
        source (Oracle, SQL Server, Excel, CSV)
•	design and implementation of complex queries
•	design and implementation of PowerShell and Command 
        Shell automation and orchestration
•	design and implementation of complex data generators for 
        database test cases, post migration data reconciliations, 
        analytical reporting on data quality and usability

Tools and Technologies: 
SQL Server, SSIS, T_SQL, SQL, SSMS, SQL Server Performance Dashboard Reports
Oracle, PL/SQL, SQL, TOAD, SQL Developer, 
RedGate Data Tools, 
Visual Studio, 
DataFlux Data Management Studio and Server, 
PowerShell and CMD Shell
vSphere, 
Visio, Sparx
Position: Data analysts team lead or senior Analyst
Category: Data Science
Experience: 9 years | English: upper


The variety in my role means applying my expertise in quantitative analysis, data mining, modeling  and data visualisation, asking the right questions, understanding and identifying opportunities to deliver solutions appropriate for the business. I have more than 8 years work experience as data analyst  in financial field .
More detailed information in CV
Position: Data Analyst | Supply chain Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


Inventory control Supervisor 2018-current
Supervise the Inventory Control team;
Ensure necessary production capacity, finished goods stock, raw materials and packaging availability;
Promote and implement continuous improvement initiatives
Launched electronic data interchange of clients orders in Oracle ERP system
I
Position: Data Analyst (Tableau Developer)
Category: Data Analyst
Experience: 4 years | English: upper


Detail-oriented Data Analyst (Tableau Developer) with 3+ years of experience interpreting and analyzing data. 
Expertise in investigating and responding to client data queries. 

Data Analyst, Tableau Developer Oct 2020 - Jul 2023
• Created insightful and meaningful data visualizations, dashboards, stories, and reports within Tableau;
• Ensured migration of Tableau reporting using BigQuery as a data source instead of PostgreSQL;
• Provided ad-hoc reporting and analytics for teams;
• Provided guidance regarding the collection, structure and organization of data, as well as refinement of existing data sources and data points, in collaboration with Business Ops, Engineering, and Product

Data Analyst, Dec 2019 - Apr 2020
• Translated business requirements into the dashboard development
using Tableau and SQL;
• Made adjustments to existing Tableau dashboards;
• Ad-hoc reporting and exploratory data analysis upon request;
• Created and optimized current database objects;
• Researched and responded to reporting requests

Analyst, 2011-2019
•	investigated data inquiries;
•	executed of statistical operations processes;
•	optimized data processing; 
•	analyzed sales data and developed new performance reports;
•	prepared sales performance presentations;
I would look forward to applying my skills in a new work environment as Tableau Developer, Data Analyst, or Business Intelligence Analyst.
My ideal working environment is a place where everyone can contribute to the growth of the company and learn something new from everyday duties, a friendly team, and an interesting project.
Position: Data Analyst / Tableau Developer
Category: Data Analyst
Experience: 7 years | English: fluent

Social Project
brandin.gg — Founder, an analytics platform to find esports sponsors

I want to deliver positive value to our world through data analytics, not just making money. So I decided to do this social project to help young people get funding for their digital creativity and esports.
As the founder, I performed such roles to create the analytics platform:
a data architect (designed the serverless analytic platform from scratch),
a data engineer (wrote asynchronous Python scripts and built data pipelines with data lakes and BigQuery),
a data analyst (designed metrics and data visualization)

Top-25 percent of Neural Network contests
My trained neural networks for data analysis made it to the top 25 percent of finalists in two contests on Kaggle.com

Wargamming's data analytics contest, 2017
I was selected as the winner of the data analytics competition to fill the position of esports project analyst for their game, "World of tanks".
With 6 years of experience in data analytics, I am a seasoned professional who is passionate about data analysis and insights discovery. I have a deep analytical mindset and a strong technical foundation. My colleagues often praise my ability to discover hidden and complex patterns in data, as well as my talent for creating stunning but informative visualizations.
I believe I am also skilled at explaining technical concepts to business users in a way that is easy to understand.My solid business experience enables me to identify key performance indicators and translate data insights into tangible benefits for the company, while my friendly and calm demeanor makes me a valuable team player. I'm eager to contribute my expertise to help companies unlock their data's full potential in a simple, relatable, and human way.
A key position for all data-related topics in an early/ mid-size product company, with the opportunity to build a data team around me in the next few years. The company is truly dedicated to bringing value to the public, and the focus is on the long run at a reasonable pace, not the short crunches.
Position: Data Analyst/Tableau Developer
Category: Data Analyst
Experience: 5 years | English: intermediate

As Tableau Developer I have:

- Increased calculations accuracy and enabled early detection of errors due to various data checks & validations at different data integration and report generation stages
- Safeguarded reports compilation according to the priority and secure preservations of sensitive business reports in a single repository with a flexible system for managing access rights
- Introduced automated, synchronized data updates (e.g., hourly, daily, weekly, and monthly updates) and data validation according to pre-defined metrics, such as data lagging and anomalies detection
- Enabled business users to easily find necessary reports via the corporate SharePoint portal, integrated with the analytics system.

I was responsible for:
- Creating/managing Projects, Database Views, Data Sources, and Data Connections in Tableau tool,
- Build, customize and publish interactive reports,
- Data visualizations and dashboards creation,
- Writing report specifications and other technical documentation.
5+ years of experience in the IT domain. I was working as a technical support engineer, have an in-depth understanding of technical and end-user support flows. Successful track record of Data Analysis, Visualization, Automatization. 2+ years working on projects as Tableau developer. Have experience of setting up Tableau from scratch, working with requirements, familiar with change and incident management. Have mentoring experience. Experience working in a 24/7 format. Stress-resistant, able to do the extra mile, hardworking.
Position: Data Analyst, Tableau Expert
Category: Data Analyst
Experience: 1 years | English: upper


- Real-time earthquake detection from Twitter, Power BI Dashboard (Python Predictions)
- Extracting and summarizing information from legal documents, Tableau Dashboard (KPMG)
-Fraud detection in financial transactions
-Recommendation system for movie suggestions
-Financial asset portfolio forecasting and optimization
-Churn prediction model to identify student dropout
- Scraping a real-estate website and building a price prediction application

Clients: Accenture, KPMG, Python Predictions
Position: Data Analyst Team Lead
Category: Data Analyst
Experience: 4 years | English: upper


Querying and formatting data using SQL Server. Formatting data using Microsoft Excel, SQL
Working with app created on base Qlik Sense.
Creating dashboards in Power Bi, communication with the clients. Managing team
Position: Data Analyst / Team Lead / Head of Analytics
Category: Data Analyst
Experience: 4 years | English: fluent

-Developed a Recommender system that boosted monthly revenue by 30% 
- Launched and led the Analytics department from scratch for a wellness mobile app, launched and led the Personalization department for an iGaming company
- Initiated and launched A/B tests that resulted in a +15% revenue increase monthly
- Initiated and launched new users onboarding and gamification
- 1st place at NBU IT Hackathon (computer vision track) - banknotes images classification and Telegram bot development, a team of 3 people. My role - team lead, and developer.
- 1st place at BEST Course Hackathon in Leuven - medical image segmentation. My role - team lead, and developer.
- Google Developer Student Club Lead 2021
- Microsoft Student Ambassador 2021
As a Data Analyst, Team Lead I have profound experience in the following:
- Planning and developing Analytics projects for all company's departments from scratch: 
Paid Marketing, Product Marketing,  SEO, Product, Billing, and Customer care
- Delivering impactful insights and critical recommendations for business (my favorite ones are related to web funnel, CRO, and product improvements)
- Analytics roadmap implementation
- Setting up analytics tools
- Consulting and communication with direct stakeholders and other teams
- Tableau Dashboards development
- Data Pipelines implementation (Airflow, SQL, Python, R, APIs)
- Internal DataWarehouse planning
- Mentoring team members and hiring
- Proficient knowledge of SQL with optimization techniques
- Launching and analyzing A/B tests
- Monitoring key metrics and alert system implementation
- Web analytics (GA4, GTM, event tracking)
- Mobile analytics (Amplitude, AppsFlyer, Qonversion) 

As a Data scientist have experience in such commercial projects:
- customer segmentation, which increased the effectiveness of marketing emails and conversions to clicks and sales through personalized offers
- recommender system (content-based, collaborative filtering- matrix factorization and autoencoders) 
- units per check, traffic, sales prediction 
- churn prediction, RFM analysis
- SEO requests clustering
-text-similarity tasks

Research projects at Samsung:
- malware detection in Android apps (based on static analysis and dynamic - system calls)
- advanced speech recognition system (with additional noise to prevent fake speech)
- HTTP traffic classification (for malicious traffic detection)
- IoT traffic classification (for botnet traffic detection)

Other projects:
- Lviv Data Science School 2019 -  multiclass image classification for the marketplace, 2M images, Slack bot development
I'm looking primarily for projects where I could be the first Data Analyst, Team Lead, or Senior position in a strong and motivated team. Teams that are open for initiatives and are data-driven are warmly welcome :) Also, I appreciate the knowledge-sharing culture inside the company and experienced management.
Position: Data Analyst/Technical support L2
Category: Data Analyst
Experience: 3 years | English: upper

- Expert in sphere of cryptocurrencies, P2P, fiat and crypto transactions, international transfers; experience with a giant merchants as Binance, Gate.io, NEXO, KuCoin etc.
- Course of frontend developer
- Data analyst at current position within L2 responsibilities
• Data analyst, EPAM
(09/2022-current) 
• Technical support specialist, Protectimus
(Blockchain, crypto) 
(02/2021-09/2022)
Huge background of customer and technical support, service desk.
Service oriented, disciplined, fast grown.