lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent

I am a long standing member of WomenTech Network, a global community that promotes gender diversity in tech. 
I have received many accolades and certifications from several learning institutes for my various academic achievements.
I currently work as a database administrator where I use SQL to query databases while performing analyses. I have worked on various in-house projects over 2 years, including redesigning the company database to fix mistakes and inconsistencies in the initial design, transforming data by cleaning and wrangling existing erroneous data from company database. I have worked with many tools including MySQL, Python (NumPy, Pandas, Seaborn, Matplotlib), Tableau, Microsoft Excel, Power BI, Jupyter amongst many. I am interested in expanding my work experience and analytics field with respect to more diverse opportunities.
Seeking jobs that enable me to explore new technologies and expand my skill sets. Interested in flexible hours as well.
Position: Data Analyst
Category: Support
Experience: 1 years | English: intermediate


Identification of cases that may affect the organization's activities and management of the associated risk, as well as control that the organization's risk limits are not exceeded and the provision of reasonable assurance that the organization's objectives will be achieved; maintaining the level of risk that ensures the continuous operation and sustainable development of the organization, obtaining the optimal result of the organization's activities, taking into account the risk for founders, owners, and other interested parties.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

- identification of customer needs
- collection and analysis of business requirements
- requirements management
- transformation of business requirements into TK for development
- communication with stakeholders and the team, solving operational issues
- delivery of implemented projects to the customer/informing customers about releases
- development and maintenance of project documentation
- identification of customer needs
- collection and analysis of business requirements
- requirements management
- transformation of business requirements into TK for development
- communication with stakeholders and the team, solving operational issues
- delivery of implemented projects to the customer/informing customers about releases
- development and maintenance of project documentation
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

Analyzed IBM attrition Datasets and did the visualization of the report using Powerbi
Identified, analyzed and interpreted trends or patterns in complex datasets by finding correlations and visualizing with charts using Powerbi and Tableau.
Utilized professional statistical techniques and maintained large databases to collect and analyze data from partners and customers using Excel and SQL.
Presented reports to clients and teammates regarding project progress and results.
Performed routine tasks under direct supervision and within established procedures and guidelines.Explored new data sources to enhance current models.
Currently a Data Analyst Intern and would like to improve my querying skills.
I would not want to work with non-english speaking people as I only speak and understand English language
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


identifying, analyzing, and collecting relevant data to forecast trends in project activities; developing new areas of service; expertly managing and processing large databases; generating insightful reports; delivering impactful presentations of the results; representing the company at international exhibitions and participating as a speaker at conferences; achieving a client satisfaction rate of 100%.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


Identify trends and patterns in the data
Forecasting
Building machine learning models
Creating dashboards
Visualization
Decision-making
Analytical skills
Communication skills
Creating data queries
Data analysis
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


I designed and developed professional-grade tools using Power BI for Balance Sheet review and KPI reporting. I utilized complex DAX calculations and M language transformations to ensure accurate financial insights. The tools improved reporting processes and empowered stakeholders to make data-driven decisions.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: intermediate

- Organize research of Child Goods market in Kazakhstan. This research became of base to government program.
- Create 2 analytical model in bank (client segmentation & client retention). Also organize marketing activity for possible outgoing clients, which helps save around 40% of possible clients. 
- Semi-automatize preparing heavy report of market estimation up to 4 time (from 2 month to 1 week) and implement BI reports for clients, which reduce technical work of client managers.
I develop dashboards and implement BI tools to the organizational process. Automatize manual preparing casual reports to free specialists for making decisions, not technical work. Also I'm experienced in customer surveying and business analysis. 
My main domain: finance & retail
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: intermediate


I developed and supported systems for analyzing clients, sales, and goods movement for product companies. Last 2.5 years worked as a project manager at the project for management marketing departments. Our team created a very flexible and useful system then can be used in different product companies.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I did a project of data analysis for a fictional bike-share company in order to help them attract more riders. It was a case study I have performed from through the all steps (ask the correct questions, get and prepare the datasets, clean the data, analyze the trends and relationships, share the results through visualization) using SQL tools, R and Tableau.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


I do new pricing models for products of retail bank. 1) In November of 2021 I introduced new pricing for car loans. After that the number of car loans is increased 3 times. 
2) I analized the portfolio of exisitng card holders customers and predict probability of uptaining other products such as deposits and credits. After implementing our my recommendations the convertion rate of telemarketing calls is increased from 5% upto 21%
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I don't have any working experience, but i was a participant of Analytics in Product-based IT course by Genesis, where i've gained skilles in SQL, Tableau, A/B testing and improved my knowledge of Python. After course completion, i realized that i am eager to work in data science/analysis sphere, and now i am looking forward to chance to enter my career
Position: Data Analyst
Category: Data Science
Experience: 0 years | English: intermediate

Basic knowledge of Python, NumPy, Pandas
Experience in preparing data and identifying the types of machine learning model needed
Skills for choosing a metric for model quality control
Getting to know the structure and visualization of information
Basic knowledge of My SQL
Basic knowledge of Power BI
English level intermediate
I don’t have commercial work experience yet, but during the training on each topic I did practical tasks to develop skills.
I want to work on an interesting project and put all my skills into practice
Position: Data Analyst
Category: Python
Experience: 0 years | English: intermediate


I don't have much commercial experience. I worked at the university in a position close to system administration and devops. I have good knowledge of Python and libraries for data analysis. At the university I had a course "Data Analysis with Python" and got practical skills.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent


I excel at transforming complex data into actionable insights using statistical analysis, data visualization, and predictive modeling to derive actionable insights from complex data sets. My proficiency in SQL, Python, R, and BI tools such as Power BI allows me to perform data mining, cleaning, and manipulation effectively. With strong analytical, problem-solving, and communication skills, I am an excellent collaborator who can work well with cross-functional teams to meet business objectives. My past experience includes analyzing sales data, creating predictive models, and developing dashboards and reports to track KPIs and business performance. I am passionate about using data to drive informed decision-making and always strive to keep up-to-date with the latest industry trends and best practices.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: intermediate


I excellent understanding and proficiency of platforms for effective data analyses, including SQL, spreadsheets, Tableau, R and Python. I own a strong communication, organizational, and analytical skills. Recently completed the Google Data Analytics Certificate and IBM Data Analyst Professional Certification - a rigorous, hands-on program that covers the entire scope of the data analysis process.

Project 1: IBM Data Capstone Project
- Web Scraping (requests, BeautifulSoup, numpy, pandas)
- Data Wrangling (Finding duplicates, Finding missing values)
- Data Visualization (matplotlib.pyplot, seaborn)

Project 2: Bellabeat Marketing Analysis
Analyze data from FitBit fitness tracker, a non-Bellabeat smart product, to gain insights into consumer’s trends. This trends are to be applied to one Bellabeat product to help guide marketing strategy for Bellabeat to grow as a global player (Cleaning Data, Transforming Data, Analyze, Data Visualization).

Project 3: Extraction and Visualization of Stock Data
Extract and Graph financial data with the Pandas Python library.
- Web Scraping (requests, BeautifulSoup, pandas, yfinance) 
- Data  Visualization

Project 4: US Data Job Market Analysis
The field of data analysis is growing worldwide. In this project, I will take a closer look at the US labor market. Namely, the direction of Data Analysis.

Project 5: Passenger Flow of The Kyiv Metro
This project is a demonstration of my data visualization and dashboard building
skills in Tableau.

Project 6: Data Analysis and Visualization in Excel
This project is a demonstration of my data visualization and dashboard building skills in Microsoft Excel.

You can read more about the projects in my GitHub profile (volodymyr-chubai)
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I finished Data Analyst woth Python & SQL Academy in my country. The only experience that I have are the projects that we worked at the Academy. We learned about Python, SQL, Pandas, numpy, data visualization, data entry... I have the ability to learn quickly. I am enthusiastic about data and willing to help companies make informed decisions, create a more effective marketing strategy and to achieve better results and succes.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I finished the course at DaN.IT school in November 2022. During my learning I gained knowledge of  SQL, ETL(basics), Power BI (DAX),Tableau (LLOD) - data cleaning, transformation, and validation. I created 15 Dashbords.
I'm full of energy and determined to use my knowledge in
practice.
Position: Data Analyst
Category: Data Analyst
Experience: 11 years | English: fluent


I focused on orientating my career, with the help of my former experiences, as a BI
& Data Analyst professional for the strategic game plan of a company. My highly intense
database and data analysis experience will be very essential and beneficial for these operations. As an executive-level consultant enhanced QlikView, QlikSense, PowerBI, and Tableau experience. Also, on September 2022, achieved the “Microsoft Certified: Power BI Data Analyst Associate” certificate (PL-300 former DA-100). I believe that my educational background and job experience are advantageous for available positions.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

I'm interesting in data analytics, operation work etc. I would like to work and grow as spatialist in this direction. I am also interested in the field of finance and I think I have a good knack for it.
I got a big experience in customer service and operation work with local and foreign customers. Works allot with excel and googl spreadsheets to prepeare reports for other departments. Cooperate deeply with analytics and sales teams.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


I had a load of experience working in an insurance firm as a junior analyst
I did data mining and profiling 
I mostly used excel and power point 
For cleaning and visualization.

We compared the data of the clients to know the leads to focus on, then we did a comparison analysis to help identify our weakness and strength.

I had to further my education in Data Analysis where i gained more know on the subject SQL, Tableau, Power bi and many more. I am still developing myself and my expertise.

Where i did a comparison of petrol prices among countries in different continents with their minimum wages as the prices of petrol have sky rocketed in the pass months.

I have worked remotely for a Canadian company for more then 3 years now.
I am self motivated and have worked with the Amazon workspaces in all these period.

I am ready for more challenges to help me grow in my field and I look forward to your response, thank you.
I do not want a role that will not help me grow career wise and as an individual
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper


I had an internship at Consulting company where business analytics, product analysis, and sales prediction were my main job. During this internship, I obtained experience in solving case problems and had an opportunity to improve my soft skills. In addition, my skills in Power BI and Google Big Query improved. It is my very first experience in the company, I was very excited about working in the field of business analysis, solving real cases in production. 

My next place is a research company where I am working on a project based on sequence models and neural networks. Python(Sklearn, PyTorch), Statistics, and SQL are my main tools here.

I have a passion to work in the data analytics field in data-driven companies where I can enhance both soft, and hard skills as the result become a decent specialist in data science.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: intermediate


I had been working for Azerbaijan Robotics Engineering Academy as a Robotics teacher for 1.5 years. My main role was teaching to the students (8-14) Scratch programming language in which we create several games and animations and simultaneously, students(8-19) Studio 2.0 to design our robots by using Legos, LEGO MINDSTORMS EV3 to program robots and lastly, Virtual Robotics Toolkit to simulate and test our programs on the various maps. They also participate in World Robot Olympiads on the Robot Virtual Games
website online. Now, I am doing my master’s degree in Computer Science at the University of Tartu. I have an experience in Python programming language, and I use NumPy and pandas libraries to work with data, such as cleaning, preprocessing, and exploratory data analysis. I have a Machine Learning course in which we learn supervised, unsupervised, and reinforcement learning. To visualize the data, we use matplotlib and seaborn libraries. We use Machine Learning algorithms using the sklearn library. For example, we use Linear Regression, Multi Linear Regression, Polynomial Regression, Ridge Regression, Logistic Regression, Decision tree algorithm, Random forest algorithm, Xgboost algorithm, Gradient boost algorithm, AdaBoost algorithm, and so on. We have a project on drinking water quality prediction, and our goal is to create a model that predicts the water quality in Estonian water stations based on the government’s open data of the previous measurements. Now, I am learning SQL, Tableau, and Google Data Analytics courses over the Coursera platform to improve my skills in data analysis.
I want to work as a Data Analyst(entry-level or intern). I prefer remote jobs because of my study. But if it is in Tartu, Estonia, I can work on-site. My expectation about salary is a minimum of 600 €.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

My achievements are taking 3 places on the third tour of the All-Ukrainian math olympiad for 4 years in a row/
I hadn`t any work exp, to be honest, so I can only say about my uni work. 6 lab works on math methods of information processing, which I did on R. Also I can say about my courses on Codefinity and Udemy
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent

I have a publication in Monthly Notices of the Royal Astronomical Society (arXiv:1802.00746)
I won Germany Scholarships from Potsdam University
I have an IBM Data Science Foundations Specialization certificate, and some other related certificates
I created and conducted a reasonably large detective tabletop roleplay game
I had several research projects in theoretical physics. This means that my work was primarily related to computer simulations and data processing. I worked with scientific codes written in Fortran, C ++, and Python. My contribution to the work was to bring a large amount of data into a convenient format, analysis, and visualization, which I did in Wolfram Mathematica. I used statistical methods to compare simulation data with real data and to draw conclusions for the next observations. My results were published in a high-impact international journal.
And currently, I am working on my self-education in the field of data analysis and data science, for example, I've earned IBM professional certificate in this field. I mostly work with Python and try to do some educational analytic projects and solve problems. I have small experience in SQL. 
I have experience not only in the technical sphere but also in the organization of a tournament for high school students. This gives me such skills as public speaking, delegating the work, and organizing other people to do some part of the job. I have an understanding of how to make things work - starting from creating ideas, analyzing and planning projects, teamworking, and finishing with visualization and presentation.
I love and know how to work with the organization of information. This makes me open to many areas of work. But I'm not very interested in finance and sales
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: upper


I had two years of experience as a manager of import and exports. I got chance to fully be introduced to, comprehend, and implement Power Query, merging of tables, and chart tables. Last but not least, during the trainings I participated related to data process, I was tought how to work with and implement Tableau, we used it as a method of data sorting. After this, I had a year of experience as a Data Analytics. During this period, I got mastery SQL, to clarify, I did have a lot of experience working with MySQL, Oracle, PostgreSQL, MSSQL, DBeaver, T-SQL. I do know how to sort data and present it in the reasonable way, to fit in the requirements. Additionally, I mastered Python for data manipulation
and statistical analysis.
Position: Data Analyst
Category: Other
Experience: 2 years | English: upper


I had worked as an auditor for almost 2 years. Work with financial data of the clients. Auditing clients' financial statements in accordance with IFRS.
I have been working as an junior financial specialist for year. Processing information about marketing expenses and revenue of the company. Processing of received invoices and control of their payment (invoices from Facebook, Google Ads and others).
Advanced user of Excel and MS Office. Ability to process large data sets quickly and efficiently. Experienced user of 1C (BAS), App Store Connect, Google Play Console and payment center, Confluence, Asana. Knowledge in use GoogeAds, Facebook, SearchAds, TikTok's cabinets.
I am looking for opportunities for personal development in Finance. I would like to work with the company's financial statements.
Position: Data Analyst
Category: Data Analyst
Experience: 10 years | English: upper

Conducted analysis of Company data, products, and processes for detection and prevention of fraud. Carried out the investigation that revealed and suppressed huge Fraud of Service providers. 

- Developed the python scripts for parsing data from different sources in SIEM Systems.

-Detected numerous high-cost Fraud cases in Financial, Sales, and Roaming operations. Using SQL and Python has created automated processes of fraud detection for different fraud types.
I have 12 years of experience in Telecom. 5+ years of them in data analysis. Hands-on experience in implementation of A/B tests, hypothesis testing, and revealing deviations and anomalies in the data. Efficiently analyze information and navigate multiple systems to detect and prevent cybercrime and fraudulent activities. In the analysis using SQL, Excel, Python (Pandas, NumPy), and Tableau. 
    Integrated anti-fraud systems for mobile operators. The projects implied raw data collection from all the company sources, correct processing, and exploitation of information for automatization of fraud detection and prediction processes.

I have an MBA degree in Computer Information Systems. Also hold PMP, CFE, and PSPO1 certifications.
I want to join a team with different challenging projects. Where I can use all my potential. Zero bureaucracy is crucial. A startup ecosystem and mindset are preferred.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

•Winner of the DAAD Program and got a chance to participate ERASMUS Program during one semester in Remagen, Germany 
Note: During the exchange semester, I was working as a business analyst intern.
I have 1.5 years of data experience and approximately 3 years of job experience as an intern in the marketing and bank industries.
You can review my experience at data field: 

Company: Smart Link, Azerbaijan (05.2022 ) 
Role: Data Analyst
Responsibilities:
• Generate data reports and perform backups in archives
• Input customer account information into databases within required time limits
• Analyze data using statistical techniques and providing reports
• Filter and clean data
Technologies:
• Microsoft Excel
• SQL
• PYTHON
• Power BI
•1C

Company: Koblenz University of Applied Sciences, Germany (09.2021-02.2022)
Role: Business Analyst intern
Responsibilities:
• Conduct research and compile data about customer(students) and industry trends
• Help the marketing team create new advertising materials
• Develop workflow charts for system changes
• Create technical reports and manuals for end-users (mainly students)
Technologies:
Moodle 
Open OLAT
Microsoft Excel
Power BI

Company: Universal Group, Azerbaijan (08.2020-09.2021)
Role: Junior Data Analyst
Responsibilities: 
• Acquire data from primary and secondary sources
• Analyze data using statistical techniques and providing reports
• Filter and clean data
•Identify, analyze, and interpreted trends or patterns in complex data sets
Technologies:
• Microsoft Excel
• SQL
• PYTHON
• Power BI
• One Soft ERP
What is preferred:
•  work with new technologies
• work in a friendly team
• flexible working hours