lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Engineer
Experience: 5 years | English: fluent

Agency Dashboard  – Jubilee Insurance
Modelled and Developed a dashboard for the Agency Team to track on daily, monthly, quarterly and yearly basis, the number of policies sold as well as the premium collected. This assisted the management in tracking on a daily basis whether the different teams were in line to achieve the targets and implement and investigate further where more effort was needed to ensure that the monthly targets were achieved. Previously they had to wait until the end of the month for a compilation of the report on excel from the different unit managers. This has greatly improved proactive rather than reactive engagement with the different agents, unit managers and regional managers.

Reinsurance Dashboard – Jubilee Insurance
Modelled and developed a dashboard for the Reinsurance team for tracking of the premiums, commissions, paid and outstanding claims. This resulted in a drastic drop in the time taken to develop the report manually on excel to reporting available at the click of button and change the reporting from monthly to daily improving the efficiency and productivity of the team.

Corporate OMNI Channel – Co-operative Bank   
Implementation of OMNI channel platform solution as Lead data integration engineer and report developer where my role included:    
Transformation of customer data from the old system to allow for consumption in the OMNI channel platform.    
Migration of customer information from the old system to the OMNI channel system.    
Design and creation of report scripts to allow for monitoring in the OMNI platform system.   
  
VeriTouch  CRM - Microsoft Dynamics 365- Co-operative Bank   
Implementation of Microsoft Dynamics 365 VeriTouch CRM solution as a data modeller and data integration engineer. My role included:   
Modelling of data from various source systems that customer information is stored, to create a 360 view of the customer from all systems in the bank such as loans, credit cards, current accounts and saving accounts, fixed deposit accounts, internet banking, mobile banking among others.   
Development of SQL Server Integration Services Packages for the loading of a daily batch feed from the banks source systems to the CRM application database as well as automation of the same process.
Experienced Data Practitioner whereby through my studies, experience and personal initiatives, I have acquired skills in ETL development using (ODI, PowerCentre, SSIS, Pentaho, Oracle PL SQL, Google Big Query), Data Analysis using SQL Queries and Python, Data integration and Dimension modelling, Data mining, Oracle database administration, Master Data Management development, Business intelligence analysis and reporting on (OBIEE, COGNOS, POWERBI, SSRS, Tableau), Big Data Engineering, Data Warehousing among others.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


Experienced in interpretation, evaluation interrelation, and researching big data using business intelligence and online analytical processing techniques (dashboards, drill-down, OLAP, predictive modeling).

Dealt with modeling, data mining, identifying anomalies using statistical, math, and probability theory tools (regressions, data sampling, clustering).

Was responsible for preparation and performance of cross-functional Sales, Marketing, Product reports and reviews, analysis of different processes, and company results.

Was engaged in calculation operational and financial metrics, KPIs (LTV, ROI, Renewal rate, R&D, etc.). Created business logic for the most optimal implementation of indicators and calculated the company results based on them.
Interesting and challenging data mining tasks. Professional growth.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: upper


Experienced insight manager with the expertise in FMCG industry. Skilled in Market research and Data analysis with the focus on advanced solutions. I have successful experience in client management and business development on agency side and stakeholders management on product company side. Full cycle research project manager. My focus is on creating and enhancing data analysis systems within organizations to enable data-driven decision-making processes. I am passionate about building robust data analysis frameworks that empower businesses to make informed and strategic choices based on actionable insights.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

Projects I have carried out and still working on...
-Founded D'challenger Data Vizualization page on Linkedin
-Data-Viz anaylsis on World Bank financial inclusion data 
-World Happiness Report Data Vizualiztion
-National Instant Crime scheme -NICS firearm data viz. etc
Most of the projects are monthly challenges.
Experienced in Spreadsheets and Powerbi tools for data analysis and data visualization. I am currently taking up monthly data visualization projects and tasks on Linkedin being hosted by Data oriented pages like D'challenger ,and rarely with Onyx data and Maven.My biggest project as at today is the D'challenger data Visualization Page. As the founder, my true aim is to help young talents grow in the data analysis skills set and also direct them on best ways to approach data related tasks by asking structured questions.I am currently working as a Stock Controller in the Biggest Cinema company in my country where  Excel spreadsheets good knowledge is a must have. Honestly, I want to quit my current job to focus on improving my data analytical skills and help others do so too, i believe this is the route to follow towards achieving my dream that's why I am here to Win.
I understand that the task ahead might not be rosy but I will always appreciate that respect and acknowledgement be given.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


Experienced in the Analysis, Design, Modeling, Development and
Implementation of Data Warehouse applications and acquired excellent analytical, coordination and interpersonal skills for leadership. Working knowledge of various packages in R and Python like ggplot2, Pandas, NumPy, SciPy and Matplotlib. Capable in the collection, cleaning, wrangling, analysis of data and building models on the data sets in both R and Python.
Position: Data Analyst
Category: Business Analyst
Experience: 2 years | English: upper


Experienced mostly in bank sphere as the Data and Risk analyst. Also worked at Home Credit Bank as the developer of the system of credit decisions, using basic knowledge of Java language. Good level of SQL, data visualisations with Microsoft Tableau, Splank, Power BI, basic knowledge of Excel. Latest workplace is Freedom Finance Bank, position is lead business analyst where I am able to deepen my analytical skills, work with visualisation tools, and learning to find out business decisions from data.
Position: Data Analyst
Category: Other
Experience: 0 years | English: pre

Conducted research and analysis of data.
Prepared reports and presentations for management and stakeholders.
Submission of theses to the analytical notes and R&D annual reports.
Search, systematization, and analysis of information for R&D.
Providing proposals to the legislation in the field of public finance.
Maintain documentation of the operational department activities.
Experienced Researcher and Analyst with 10 years of experience in the economic and financial research, and analysis field. Possesses a strong analytical mindset and a proven track record of success in managing financial operations, conducting research and analysis, and providing strategic financial guidance to organizations. Seeking a challenging opportunity to leverage my skills and expertise in a dynamic and fast-paced environment.
I have strong executive and soft skills, being diplomatic in my approach with any task or concern.
I am quick to learn new skills and software, including that required when working abroad in unfamiliar environments.
Position: Data Analyst
Category: SQL
Experience: 10 years | English: upper


Experienced Senior DBA with expertise in SQL Server and Oracle databases. Skilled SQL & ETL developer with a proven track record of successfully managing large-scale database systems and implementing efficient data integration solutions. Seeking new opportunities to utilize my skills and knowledge to drive business success. 

Specialties: SQL, T-SQL, RMAN,  PL/SQL, SSRS, SSIS, ETL, Bash,Performance Tuning, Data Integration, DBA, Python,  Talend, Power BI, SAP Business Objects.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


Experienced Support Specialist with a demonstrated history of working in the food & beverages industry. 
Skilled in Creative Problem Solving, Accounting, Analytical Skills, Communication, and Data Visualization. 
Strong customer success and support professional graduated from Lviv Polytechnic National University. 
Closely work with stakeholders/customers to identify and coordinate new system developments/enhancements 
Actively facilitate amicable solutions with the appropriate stakeholders • Prepare and presents technical reports and project presentations 
Create Power BI Dashboards and Business intelligence reports;
Maintain dashboards and WEBI reports to ensure data integrity;
Communicate with stakeholders and different steams to collect proper data related to the projects; 
Provide support to the partners as the data management expert during relevant meetings; communicate with databases owners to ensure data delivery and/or issues resolution;
Ad-hoc requests management.
Position: Data Analyst
Category: SQL
Experience: 8 years | English: fluent


Experienced Technology leader and professional who collaborates with business
leaders to deliver trans formative ICT strategies that improve profitability, drive
growth and efficiency. Proven track record of success managing multi-faceted
projects and services that cut across various functions within the bank
operations.Competency in product development , Evaluating current and future
technologies such as Data and Analytics, Productivity Tools and Leading purchase
planning for such to ensure they support both short and long-term IT initiatives.I am
a hands on project manager, able to coordinate and direct all phases of project-
based efforts while managing, motivating, and guiding teams, cultivating excellent
relationships, and communicating effectively across the organization to build focused
and productive teams.
SKILLS Enterprise systems support
Database administration
Staff education and training
Project lifecycle management
Data analysis
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Experienced with data preparation, transformation, analysis, visualization, and modeling using such instruments as Excel, R, SQL, Tableau, and Data Studio.
Solid experience in strategic planning and analysis, project management, teaching, academic research, and banking. 

Product Analyst 1 y.:
- Developed and communicated dashboards on product performance, KPI monitoring and A/B testing;
- Helped design, prioritize, execute and evaluate A/B tests;
- Identified opportunities in data for user activation, retention, engagement and monetization;
- Conducted exploratory analysis, market research, and forecasting.

Senior Lecturer 10 y.:
- Taught Mathematical Methods in Economics, Applied Econometrics, Statistics for Business, and Business Process Modeling, mainly in English. 
- Supervised bachelors' and masters' diploma projects.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


Experience for 10 years as Store-keeping analyst, MRP, Sales analysis.
Specialties: ABC-XYZ analysis, optimal store-keeping, Excel.
Expert in MS EXCEL (+VBA) - pivot tables, visualisation, automation the routine.
Also have experience in purchasing and sales.
Give a lot of attention to details, can work hard in stress situations. 
English Upper-Intermediate.
I want to continue my career as Data Analyst.
Basic knowledge in: SQL, Python (numpy, pandas, sklearn), Linux, parsing, HTML/CSS, Hadoop, math statistics, linear algebra.
I'm looking for company with friendly atmosphere where I can start my path in BigData Analysis and utlize all my previous experience.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


Experience
I have more than 3years of experience working as a web analyst and data analyst, I have good knowledge of web analytical tools, visualization tools, and programming languages. I can use Microsoft Excel, Google Sheets, SQL, Tableau, PowerBI, and Python.
I have strong communication skills and I like new challenges daily.
I have experience working on:
Perform user testing or usage analyses to determine website effectiveness and usability.
Gather, analyze, and interprets data and turn it into useful information that improves the business.
Using a variety of tools to extract and analyze data generated by online user activity.
I want to work remotely with companies or individual on any niche and use data skills to make a better decisions.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


Experience in marketing, automotive, thermal power engineering. 
 Passionately focused on a customer, disciplined executor, tenacious commitment to continuous improvement, strong analytical skills, ability to interface and communicate with different levels of organization.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: pre

SQL (JOIN, aggregate function, window function);
Excel (Function, group table, VBA);
Python (OOP, API, JSON);
Analytical skills, Data Visualisation, statistics, ability to learn quickly, Data Science, Git, Data Analisys, Jupyter Notebook, Self-organized, Report Automation.
- Experience in the business process of the financial sector
- Development and support 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 AWS QuickSight.
- Creating dashboards in AWS QuickSight.
- Analysis of business processes, and interaction with the marketing department.
-  Loan portfolio & loans collateral analysis.
- Created automated processes from scratch. Automated key monthly/weekly reports and routine tasks using Python.
**Highlights**
- Created a full cycle of data analysis processes from scratch: parsing/extraction, processing, visualization, and creation of insights reports.
**Looking for**
-An environment that stimulates personal and professional growth, as well as complex tasks for automating processes, working with databases. The data science assignments are also interesting.
I want to work in database development and Python development.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

Currently I am studying for a master's degree in Data Science at the University of Padua in Italy.
During my bachelor's degree, I studied in the SABAH groups of the Azerbaijan State University of Economics, the admission of students to these groups is based on interviews and exams. During my bachelor's degree, I studied finance. Many of my subjects were based on statistics, math, finance, and economics. Over the years, I have participated in many seminars and courses online and in presence.
My master’s degree education is mainly focused on Python, Statistics and Economics. I selected this field because my bachelor's degree is economics-oriented and my interest in coding. 
As I mentioned in my CV, I have worked on many projects since I started in this field. Examples include Kaggle projects and the "Estimation of the risk of death in heart failure patients" that I developed during university. With the model I developed in this project, I used data from about 300 people to determine the characteristics of patients, i.e., whether they smoke or not. I calculated the risk of death of these patients.
EXPERIENCE:
Kapital Bank Azerbaijan (Intern) :
-Assist customers approaching the bank in conducting
banking operations
-Assist in day-to-day tasks
-Answer phone inquiries, direct calls, and provide basic
company information

QSS Analytics(Intern) :
-Interpreting data, analyzing results using statistical
techniques
-Developing and implementing data analyses, data collection
systems and other strategies that optimize statistical
efficiency and quality
-Acquiring data from primary or secondary data sources and
maintaining databases
-Working with management to prioritize business and
information needs

Neqshicahan Holding (Data Scientist) - Present:
Identifying relevant data sources for business needs
Organising data in to usable formats
Enhancing the data collection process
Analysing data for trends and patterns and to find answers
to specific questions
Generating information and insights from data sets and
identifying trends and patterns
Preparing reports for executive and project teams

The technologies and applications I use: Python, R, SQL, Microsoft PowerBI, Statistical Analysis, Microsoft Office
I am eligible for relocation.
Position: Data Analyst
Category: Data Science
Experience: 1.5 years | English: upper

The Data Science Course 2019 (Udemy)
IELTS
Experience:
October’17 – Present		Olam LLC Ukraine, Kyiv, Ukraine
			Junior Analyst (Data and Crop Analysis)
•	Managing and analyzing export statistics of major agriculture exporters 
•	Managing M2M statistics of current company’s market position
•	Financial execution of contracts (payments and account posting)
•	Providing financial and statistical reports 
•	Managing and analyzing Cost of Production and Logistics Costs for farmers
•	Forecasting Supply and Demand of World Grain Market


July’16 – August’16		Private Enterprise, Okhtyrka,Sumy oblast, Ukraine
			Sales Assistant/Project Coordinator
•	Acts as the sales administrator on jewelry
•	Handles customer’s inquiries for jewelry, negotiates prices and volume of orders by maximizing rate or volume
•	Determines availability of goods and coordinates delivery and installation meeting the needs of customers 
•	Provides financial and statistics reporting on operating revenues and expenses

Courses:
The Data Science Course 2019 (Udemy)

Want to find:
•	Data mining (SQL, Excel)
•	Modeling and Machine Learning (Python, R)
Developing myself in Data Science
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

Licenses & certifications (2022-2023): 
-	Hillel. “Machine Learning”
-	Hillel. “Python Advanced”
-	Kyiv School of Economics. “Overview of AI with Focus on Business Applications”
-	Google Career Certificates. Google Data Analytics 
-	Hillel. “Python Basic”
-	Experience of extracting data from difference sources, including MySQL, MS SQL Server, PostgreSQL, BigQuery, API, tools for data analysis of mobile apps (Appfigures, Sensor Tower, Google Analytics, Data.ai, Mobile Action, App Store Connect, Google Play Console); 
-	Data processing and visualization results with Excel, Google Sheets, Python (Pandas, NumPy, Plotly, Matplotlib, Streamlit), PowerBI, Google Data Studio, Google Slides;
-	Automation of tasks using Python/VBA/ Google App Script;
-	Calculation of various key indicators, business metrics and preparation of options for process optimization; 
-	Ad-hoc data analytics;
-	Cooperate with front-end / back-end developers and other team members to design new user-friendly data analysis tools for the whole team;
-	Good understanding of statistical analysis;
-	Fundamentals in Machine Learning.
Looking for interesting and challenging tasks, a team of like-minded people, minimum bureaucracy and opportunities for professional development.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


EXPERIENCE
Project manager for the call center  12.2022 - present time

training of the team, support and technical settings of the programs;
analysis of big data, customer problems and search for appropriate solutions;
working with Oracle, visualizations in Power BI reports and working with reports in Excel;
creation of User Story Mapping, MVP, SMART methodologies;
creation of projects for the department of services for individuals;
research of the client database, determination of behavioral factors.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


Experience:

• Researched Blockchain technology, Crypto, Decentralized Finance (DeFi), and smart contracts while validating findings through data processing for accurate insights
• Developed and optimized complex SQL queries in AWS Athena 
• Leveraged Power BI and Plotly library to create insightful data visualizations for enhanced understanding of on-chain data
• Built an ETL pipeline by creating DAGs and tasks in Apache Airflow to automate data workflows
• Dockerized Python scripts for seamless execution of ETL  jobs
• Performed Exploratory Data Analysis, conducted Feature Engineering, and built predictive Machine Learning models using a dataset related to the Oil and Gas Industry. Additionally, I wrote a research paper summarizing my findings


Skills:

• Programming skills in Python (Numpy, Pandas, Matplotlib, Seaborn, Plotly, Scikit‑learn, TensorFlow)
• Working with SQL databases
• Good understanding of statistical analysis
• Fundamentals in classical Machine Learning / Deep Learning
• Excel / Google Sheets
• Power BI / Tableau
• Advanced level of English
I am eager to be a part of a team that works on diverse and challenging projects. My goal is to contribute my knowledge and skills while also learning from fellow team members, regardless of their varying levels of experience. I have a particular preference for a startup ecosystem and mindset, and I am especially interested in opportunities related to blockchain jobs.
Position: Data Analyst
Category: Data Analyst
Experience: 6 years | English: upper


Experience (starting from the present job):
1) Senior Analyst (FinTech company)
2) Electronic Business Software Developer (Bank)
- maintenance and optimization of internet-banking processes, mathematical
- analysis of business processes for handling financial and nonfinancial
- operations: creation and technical implementation of statistical models,
- development of practical recommendations on resource optimization,
- conversion growth; solving problems of cyber safety and anti-fraud
- activity: operating big data (of about tens of thousands to several million
- records, including several tens of multifactorial fields). Working with applied
- mathematical software (R-Studio, MathCad, etc.), applying elements of machine learning (using regression, correlation and factorial analysis), building econophysical models.
3) Analyst
Design, implementation and testing the algorithmic trading systems for various financial markets using both traditional market analysis and author’s personal techniques based upon the use of correlation and factor analysis along with special mathematical statistics software
4) Model validation analyst
- Validation of the models of financial risks (VaR, RNIV) for European international banks. Dealing with large data sets, statistical and mathematical analysis of financial time series using programming and analytical methods (mathematical tools like R, MatLab and others), pricing models. Each projects is an independent research task, and the results are the proprietary
inforrmation of the client.
5) Analyst (Dealing Department)
Developed the system of monitoring the binary options trade of American and European type, allowing quick and effectively evaluate the trends and clients‘ behaviour in real time and reveal the key factors of trade efficiency from the
viewpoint of the company’s profit.
6) Associate professor, PhD (University)