lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Junior Data Analyst
Category: Data Science
Experience: 1 years | English: upper

•	Computer science education. Educated to PhD degree in systems analysis and decision making theory. In scope of my PhD research work I developed machine learning model for the classification of US stocks.
•	Strong analytical and quantitative skills.
•	Financial markets knowledge.
•	Data analysis using Excel (VLOOKUPs, pivot tables).
•	Understanding of various data formats like xml, json, csv.
•	Basic Tableau skills. Working towards certification.
•	Basic SQL skills (various select queries to fetch data from a database).
•	Basic Python programming skills. Working towards certification.
•	Attentive to details, fast learner and quick thinker.
Analyst freelancer working on freelancing projects
Some of the projects were data analysis related such as:
•	Debug and analysis of the momentum strategy for sector ETFs (Excel, csv files)
•	GDPR law analysis and recommendations for European recruitment firm

Lecturer and docent conducting a set of disciplines for students of all years:
-	Mathematical modelling in economics;
-	Mathematical programming;
-	Operations research;
-	Higher math;
-	Probability theory and statistics.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent

Data Analysis with Python(certification)
Kaggle, Python course.
Google data analysis certification.
Kaggle Advanced SQL
-Analyzed demographic data using Pandas.
-Automation of processes for the calculation of the mean, variance, standard deviation, max, min, and the sum of the data provided.
-Provided visualization and calculations from medical examination data using matplotlib, seaborn, and pandas. 
-Sorted and analyzed a dataset of the global average sea level change since 1880. Made a forecast of the sea level change through the year 2050 based on data.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate

During the intensive training on the course, I completed several projects from which I learned:
- create reports and dashboards to track key products and business metrics: LTV, churn rate, cohorts, retention, ARPPU, funnels, etc.;
- analyze the costs of advertising companies and calculate advertising conversion metrics: CPC, CPM, CTR, ROMI;
- work with data visualization tools Tableau, Power BI, Looker Studio;
- use SQL to obtain, filter and clean data that is necessary for analytics;
- use Python and its main analytical libraries for data analysis.
An aspiring data analyst with a passion for transforming data into valuable business insights through visualization. My previous work as a head of IT departments gave me great experience in both communicative, team, and daily analytical work.  Now my experience is enhanced with very useful skills gained after completing an intensive Data Analysis course.
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Technologies and tools I use in data analysis projects:
Tableau/Power BI/Excel/Google Sheets/Looker Studio/SQL/Python/BigQuery
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2011-2017,  Head of Information Systems Security Department.
- Development and implementation of procedures, policies and standards for the holding companies in the field of information security; 
- Monitoring and analysis  the state of security of individual elements of IT systems.

2000-2011, Head of IT Department.
- Development, coordination and implementation of the strategy of holding companies in the field of IT;
- Development and management of the IT budget of the holding;
- Analysis of ways to reduce internal IT services costs.
I am looking forward to working on interesting and challenging projects in the future to apply my knowledge, skills and desire to learn, in order to gain satisfaction from completed tasks and experience to improve my professionalism.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


As a junior Data Analyst, I have had the privilege to work in the healthcare industry for about 3 years, analyzing patients' diagnosis data. During this time, I have also worked on personal projects, such as analyzing bike sales data, which has enabled me to expand my skillset beyond just healthcare data analysis. Additionally, I have utilized SQL to analyze A&E data, which has been instrumental in identifying patterns and trends within the data.

In terms of projects, I have completed several, including analyzing crimes data for a personal project, which required me to use SQL for data cleaning, Tableau visualization, and analysis. This project was particularly exciting as I was able to uncover insights that could help law enforcement agencies in their crime prevention efforts.

Currently, my role in the team involves working collaboratively with other analysts and healthcare professionals to analyze patient data, identify trends, and generate insights that can inform decision-making. Additionally, I am responsible for designing dashboards and reports that visualize the data and communicate insights to stakeholders.

Looking to the future, I would like to improve my knowledge of machine learning and statistical modeling techniques, as I believe these skills could enhance my ability to provide more accurate and insightful analyses. Additionally, I am keen to continue expanding my knowledge of different data analysis tools, including R and Tableau, which I believe could further improve my analytical capabilities. Overall, I am excited about the opportunities for growth and learning that lie ahead and am committed to continuous professional development to become a more effective and valuable data analyst
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


As a third year system analysis student of Kyiv Politecnical University I have done many different study-related projects like basic mashine learning projects which included data classification and regression, programing projects on C++ and Python languages like Hanoi Tower and some numerical methods projects
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

As a data science enthusiast, I have accomplished a number of things over the past year. Some of my key accomplishments include:
Successfully completing several data analytics projects using various programming languages
and tools such as Python, SQL, and Tableau.
Improving my skills in data cleaning, data exploration, predictive modeling, and data visualization.
As Data Analyst I have experience in gathering and scrutinizing data using specialist tools to generate information that helps others make decisions. 

1. Budget VS Actuals result (Power BI)

Financial overview which helps to understand income and company result per each project. Overview gives analysis of budget expenses (forecast) and actuals expenses of the company. 
Detailed expenses breakdown provides understanding how exactly the expenses were spent.

2. Overview of expenses consumption (Excel)
Detailed overview of actual expenses per category type. Overview summarizes the expenses by type and compares them to forecast expenses. Automatically calculated deviations help to analyze and prevent overbudget at an early stage.

3. Ads analysis (Tableau)

Project Description:
Project focuses on analyzing advertising campaigns in the retail domain.
It includes metrics
like impressions, clicks, conversions, CTR, CPM, and ROAS. Segmentation
techniques are applied to assess different advertising channels, campaign
types, and target audience segments. 

3. Onboarding funnel (Tableau)

Project Description:
Project focuses on the number of registrations each month along with the conversion rate from registration to the trial phase.
Includes illustrates the average number of days it takes for users to move from registration to making a payment, categorized by the month of registration.
I'm a Data Analyst on the lookout for a full-time job at a company focused on making everyday life and business smoother, more efficient, and user-friendly. I know my way around SQL, Python, and I've got hands-on experience with Power BI. I'm a quick learner, responsible, and up for challenging tasks.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

Kottans: Junior frontend developer
Course: Software Testing в Infopulse University
Trainee: NetCracker qa engineer(3 months)
Automation Quality Assurance Engineer 
In this position, I carried out quality assurance of IT projects by performing testing in order to identify defects. The main tasks were: 
1)Analysis of product requirements
2)Working with the test plan
3)Running various types of tests
4)Writing Autotests using Python/Postman
5)Fix and document all bugs

The main thing I expect from the company is the opportunity for growth as a data specialist, as well as mentorship and support. Initially, I need the presence of specialists in this area within the company.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate

I had three own pet-projects
Cohort analysis
The project helps to analyze players' behavior and track key activity metrics. Through basic statistics and analysis, the project measures user engagement and retention. It defines cohorts based on players' activity time and tracks retention and engagement metrics. The project aims to optimize game acquisition, and monetization based on data-driven insights gained from iterative analysis in Google Sheets.

Data visualization
Project focuses on visualizing revenue data to gain valuable insights into business performance and identify growth opportunities. By applying Tableau's powerful data visualization capabilities, I've built interactive dashboards which showcase the revenue contribution by products and location, time chart, calculated ARPPU and New MRR metrics.  These dashboards and reports will allow users to explore revenue data dynamically, drilling down into specific details, filtering data, and gaining actionable insights in real-time. 

Ads analysis, Retail
Project focuses on analyzing advertising campaigns in the retail domain. Leveraging SQL and Google Looker Studio, this project extracts and analyzes data to evaluate the performance and effectiveness of ads. It includes metrics like impressions, clicks, conversions, CTR, CPM, and ROAS. The project emphasizes data integrity, optimization, and generating visual reports to inform marketing strategies and optimize ad performance in the retail domain.
Position: Junior Data Analyst
Category: Business Analyst
Experience: 8 years | English: upper

DS DataRoot course and kaggle projects,trading journal(Pyqt5+postgresql),work with data in marketing
Course DS from DataRoot University 
Have Kaggle projects(NN, XGBoost) 
Have work experience in Tensorflow,Keras, know ML algorithms and libs(regression,
classification,clusterization,NN,CNN,SVM,PCA, decision tree,XGBoost(classifier and regression))
Python libs(numpy, sckit-learn, scipy,pandas, matplotlib)
High level of mathematics(linear algebra, maths analyses)
B2 Level of English
Postgres SQL
PowerBI, Excel,Ms Office 
Pyqt(trading journal project)
Statistic and Theory of probability
Position: Junior Data Analyst
Category: Project Manager
Experience: 0 years | English: upper

2020-now getting a Bachelor degree in Computer Science at Kyiv Taras Shevchenko National University
Currently I’m working as a customer support representative for more than a year at a New York medical laboratory. My responsibilities here are assisting customers, generating different kinds of reports and statistics for management, doing lots of paperwork and giving training for new employees.
Would love to develop my analytical skills and work in the sphere related to my education.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

I've finished Junior Data Analyst's courses in robot_dreams, where I:
- collection and research of a dataset from free sources to achieve
practical skills in working with Google Sheet, namely cleaning and
processing data, sorting and grouping, creating Pivot tables, creating
graphs, diagrams, dependencies;
- basic SQL syntax and working with it in Google Big Query;
- basic knowledge of statistics (mean, median, mode) and probability
theory;
- basic Python syntax and familiarization with libraries (Pandas, Numpy,
Seaborn);
- working with Looker Studio, namely integration with Google Sheet and
Google BigQuery, creating filters and options for manipulating data on
reports, creating graphs, charts and percentages.
Currently working as Sport analyst manager at Turturibus LTD, Larnaca, CY
1. Collecting and processing of various data about players, teams,
opponents and other aspects of sport activities, including player stats and
match results;
2. Timely placement and management of content on the website using the
corporate CRM system;
3. Working with large volumes of data in the field of sports events;
4. 4. Preparation of reports and presentations using Google Sheets based
on analytical results for sports teams.
Previous work was as Warehouse administrator in Alza CZ, Prague, CZ
1. Experience with warehouse management system (Oracle WMS);
2. Keeping records of goods, creating reports, analyzing data using Google
Sheets;
3. Working with an internal platform for tracking transporting traffic and
delivery;
4. Preparations of reports and visualizations using Google Data Studio for
suppliers, customers and other departments of the company.
In search of part-time remote work for acquiring new skills and knowledge in the field of analytics which will facilitate my further career growth. High adaptivity skills to a new surrounding, tasks and team.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Data analyst at PwC:
• Data pre-processing, testing and post-processing
• Development and verification of Design documents (contain research results and functional requirements)
• Requirements development and negotiation with the client
• Impact analysis (data analysis) for changes proposed
• Development and automation testing data analysis support
• Data analysis (Excel, SQL, statistics scripts, Qlik, other tools)
• Code analysis, logic reconstruction, proposals for logic improvement
Position: Junior Data Analyst
Category: Data Science
Experience: 0.5 years | English: upper

I have spent the past 10+ years experiencing different business domains, and since last year I have been following my passion for data and my desired career strategy, developing myself as a data-driven professional, digging deeper into the knowledge of working with Big Data, and I am planning in nearest future to become a master in data analytics. 
I am proud of the realized projects and good responses of clients. I have successfully finished a Data Science Bootcamp, Tableau Analyst course, Python programming course, KPMG Data Analytics Virtual Internship. I am a self-learner and develop my knowledge of data analysis every day.
· Data preprocessing and making predictions project for an e-commerce company. I have made a full circle of data analysis including activities: understanding the data distributions, feature engineering, data transformations, modeling by using statistical analysis, and Python (Numpy, Pandas, Scikit-learn, Seaborn). In the end, I presented some data insights with Tableau and multiple regression model results with Python.  This work was successfully processed further by the client.
· Data quality assessment report for a retail business. I have explored data type, missing values, duplicates, out-of-range values, impossible data combinations, invalid data, and then replacing, modifying, or deleting these inaccurate records in the dataset using Python (Numpy, Pandas, Scikit-learn). During this project, I have practiced six dimensions of the data quality approach and applied it for the most effective data quality assessment in my report.
· Trouble clients’ analysis project. I have explored and analyzed a specific group of customers (using filtering and aggregating in Python), creating its visual analysis report via Tableau for monitoring the situation on regular basis, made a presentation of findings to the client using Tableau story.
· Data manipulation project. I have analyzed, filtered, and adjusted the data to client requirements using DAX via Power BI and engineered analytical report.
· Other projects where I analyzed data by using MySQL, Python libraries, Tableau Desktop.
Don't want to use mainly Excel for data analysis, I am fond of working with such tools as Python (Jupyter Notebook), SQL (MySQL, PostgreSQL), and Tableau Desktop.
Position: Junior Data Analyst
Category: Data Science
Experience: 1 years | English: upper


- Data Visualization (can visualize the data and complex relationships using python libraries and R)
- Data exploratory analysis, data modeling, quality check
- Python (pandas, matplotlib, numpy and other)
- SQL, MySQL, Postman
- Deep knowlege of key disciplines (probability theory, statictics, data analysis)
- Databox
I'm not interested in short opportunities. Would like to become member of the great team for long term period.

I extremely want to develop in field of data / BI analysis, data engineering. Upgrade personal technology stack with Python or R. Very passionate to learn and drill down into product or marketing analysis, A/B testing.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

Implementation of short- and long-term Planning and Reporting (P&L, CF)
Automatization of Personnel KPI’s calculations and operational reports for management decision making
Development and implementation of a monthly tool for informing and monitoring the production efficiency
Automation of reports and checks for period closing
Dec'2022 - till date at PwC Lviv SDC - Junior Data Analyst: 
Cleaning and Preparation of data in Altyrix, MS SQL for further analysis; loading of data for reports creation.
Jul'2020 - Nov'2022 at Ambulatory of the Family Medical Doctor LLC (network of private medical centers, Odesa) - Financial Manager:
Preparation of management reports and financial statements and budgets; Cost control and reports analysis with Excel and 1C, presentations for CEO, investors.
May'2018 - Jul'2020 at JV Vitmark-Ukraine Ltd - Financial analyst:
Production and Investment control, participation in audit and financilal reporting. Business analytics. Advanced excel, Power Point.
May'2014 - May'2018 at Agrosyndicate Ltd (Agriculture Trading and Farming) - financial analyst:
Management reporting and Controls of Transport and Warehouse.
Dec'2012 - May'2012 at Tavria-V (Chain of retail markets) - Accountant AP
I'm looking for a position where I can apply my new skills in data analytics using SQL, data visualization, and profound experience in finance and business analytics to help businesses grow.
I was always interested in solving analytical business tasks. 8 years I worked in finance using advanced Excel and PowerPoint as the primary instruments for analytics and presentation of information to management. Half a year ago I got a job as a dedicated data analyst and started courses on DAN IT platform mastering SQL, PowerBI, Tableau, and python. New instruments are exciting in efficiency and usability, and I am glad that I can use them now.
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate


- Development, support and automation of statistical and analytical reports
- Work with large data sets, building models, providing conclusions in analytics, preparing presentations
- Conducting analysis of project effectiveness
- Low-code configuration and development of new processes on BPM'online/Creatio CRM, creation, modification of screen forms, work with directories, process master, configurator, system settings and delivery of own CRM system package.
- Support and development of existing processes in Creatio.
- Working with an internal business customer, analyzing problems and designing their solutions, constant communication with stakeholders, bank departments, IT
I would like to develop my DB and analytical skills,
modeling of data structures, design of DB architecture, get to know and master new technologies such as MS PowerBI, Python
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate


During my studies in the GoIT Data Analyst course, I successfully worked with SQL queries, Google Sheets, Microsoft Excel, Looker Studio, Power BI, Tableau, and Google BigQuery
Additionally, for 8 years, I have been working in the field of accounting, gaining diverse experience in areas such as real estate, the service industry, and retail. I have been involved with each project from the very beginning as part of a team. The most interesting and exciting project I consider to be the launch of a cinema in our city, where we captured 30% of the market within a year, largely thanks to an analytical system I built. This system provided the marketer with the necessary information for development and promotion, and it continues to operate to this day
I look forward to further developing my skills in the field of data analysis while working with my team. In parallel, I will continue to improve my proficiency in the English language. I believe in synergy, where 2+2 is always much greater than 4
Position: Junior Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

I have worked with vast amounts of different projects - from small e-com brands to colossal enterprises.
I have come up with ideas to improve the product and helped with the implementation
I have trained and introduced new employees to work processes
Dynamic Digital Project Manager with a breadth of experience across diverse industries, I bring a unique blend of strategic thinking, analytical prowess, and effective project management to the table. I am a fast learner who thrives on new challenges and have a proven track record in turning these into opportunities for growth and success.

Throughout my career, I have cultivated a strong ability to make data-driven decisions and to adapt swiftly to new environments and technologies. This adaptability, coupled with my strong self-discipline and time management skills, allows me to work efficiently, embracing the philosophy of 'work smart, not hard.'

With over 7 years of diverse experience, I have developed a unique skill set that allows me to troubleshoot and solve complex problems, a trait that has proven valuable to all the teams and companies I've worked with. I am driven by the desire to utilize my skills to elevate businesses to new heights of success.

Open to new challenges and opportunities, I am always ready to leverage my skills and experiences to create positive impacts and drive success in any endeavor I undertake."

Please feel free to modify as needed, or let me know if there's anything specific you'd like to include or emphasize.

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