lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: intermediate


I received a bachelor's degree in computer science at Lviv Polytechnic National University this year. Currently I am a student at master's degree program at this university.

I have some experience with Python visualization tools (matplotlib) and data preparation and analysis (pandas, NumPy). Also I have some skills in Excel (Power Query, basic formulas), basic knowledge of Power BI (data preparation and data visualization) and some experience with SQL (simple and complex queries, joins, grouping).
I expect to work in a good team and gain new experience working on exciting projects.
Position: Data Analyst
Category: Data Science
Experience: 1.5 years | English: upper


I recently worked on a predictive model on a country's electricity dataset using linear regression and deployed it through Flask Api to Amazon EC2 instance.
This model predicts the amount of shed load fall that the country would experience in few years to come. 
To achieve this, I utilised pandas, numpy, linear regression and matplotlib libraries in python. 

At the the end, the model accuracy was optimised with random forests which even scaled over 71% MSE.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


IScout LTD, Nottingham, UK
Helped the Stakeholder by making data driven decisions.
As a data analyst team, we went throught the 6 phases: ask, prepare, process, analyze, share and act.
1-Produced a System Requirement Specification with the Stakeholder and the subject manner.
1.2-Broke the big problem into 3 small problems in order to make a data driven decision. 
2-We collected the data from the stakeholder and discussed the goals of the project.
2.1-After collecting the data, we checked it, we requested more data from the stakeholder and we collected data from second and third parties.
2.2-Reporting the data to the Stakeholder. 
3-We cleaned the data properly using Microsoft Excel.
3.1-Documentation of data cleansing throughout a changelog.
4-Proceeded with Data Analysis, using SQL, Python and E-views.
5-Managed to share the data with the subject manner first, and the stakeholder in a later stage through data visualization tools, such as Microsoft Excel and Tableau. 
6-Our solutions were:
6.1-Decrease prices of the software.
6.2-Creating a Demand Model for the software sold to clients.
6.3-Introducing a Competitor Analysis Sheet in order to evaluate their performance in the market.

Kindly note that we reported every step of the 6 phases mentioned above.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: fluent

I learned how to make data talk.
I started my data journey in October of 2017. I how to crawl with Excel, stand up with SQL, and walk with Tableau and Python. 50-60% of the time I work with MSSQL through which I extract data from SQL servers and use them for visualization with Tableau to get insights.
To learn new things and gain more experience, make more money, meet new people
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


I started my working life in my undergraduate period. I developed projects using SQL Server, HTML5, CSS3, and C# for an average of 2 years. I've worked as a Customer Success Developer at Personaclick for brands like IKEA and Asics to provide a personalized shopping experience for every customer. In this study, knowledge of front-end technologies (Javascript, HTML, CSS), product feed and media information (XML, YML), eCommerce functions and how they work, strong time management, projects with tight deadlines, and powerful analytics experiences. I lived. think. I also gained experience in problem solving, systems development skills and the ability to write high performance, maintainable and reusable code. I worked on Audio Quality Control in the UTTER project for AI improvement. Using the system within the framework of the rules, taking into account the environmental conditions and noise types, quality control of human voices, noise markers, punctuation and symbols, numbers and numbers, dashes and apostrophes, initials, abbreviations, spellings, trademarks, hesitations, abbreviations and human I ensured the correct addition of environmental samples to their sound. During my master's years, I worked on Data Science, Data Analysis, and Visualization and used the Python programming language. I also used Python programming language for interbank communication code in my thesis. I also use the python programming language for group authentication for our ongoing article with my advisor.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


I started working in the IT industry in the sophomore year at the university. I worked in different parts of the IT industry (RPA, Software Engineering, Business Intelligence, Data Science). I am also an entrepreneur.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper


I studied math and computer science at university(graduated in 2021), specialization: Applied math and computer science. During the education I learned programming in Python, mathematical methods of data analysis, probability theory and math statistics, SQL. I did projects of using data analysis methods while training. I took an intensive course Introduction to machine learning and online  courses of data analysis. Now I don't have work experience, but I am looking for an opportunity to start career as a data analyst.
January 2022 - April 2022
Intership at Deloitte TTL (CIS) in Audit department as a Audit assistant.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I studied Software Engineering at the University, which helped me understand different mathematical and statistical conceptions. Also, during my studies, I learned about common software development methods and got acquainted with various programming languages and frameworks. After that, I worked at Squad in the Data Operator position, where I gained experience working at the product company and mentored several teammates. I also acquired some experience working with data. My tasks were mainly about preparing data for further analysis, and I learned a bit about analysing data using Google Sheets. At the Genesis IT School, I learned about products, how to research and analyse the market, different management styles, and some new development approaches. During this course, I collected information about several markets and products for team projects and defined requirements and expected deadlines. I also levelled up my presentation skills.
Position: Data Analyst
Category: SQL
Experience: 4 years | English: fluent


I successfully delivered critical data projects, achieved high data quality standards, and played a pivotal role in driving business insights through data analysis and reporting. My strong analytical skills, coupled with my expertise in SQL, SAS, Python, and other relevant tools, have empowered me to contribute to the success of cross-functional projects and provide valuable insights to stakeholders
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


I support the data warehouse, help develop reports and analysis, extract data and generate reports from single or multiple systems (using Sql Server tools, PL/SQL, Power Bi, Excel, Jaspersoft) on Reporting Team .
Position: Data Analyst
Category: Business Analyst
Experience: 2.5 years | English: intermediate


IT Consultant
• Implementing the functional requirements that were discussed in the workshops and documented in the requirement handbook.
• Help at customer workshops where the customer requirements are defined.
• Implement the solution into the OMNITRACKER software package.
• Presales activity and product presentations.
• Development of a customer satisfaction module on OMNITRACKER(VBScipt).
• Taking part in the work on the formation and editing of reports, identification of defects and elimination of failures on the side of the customer.
• Creating a Telegram Bot.
• Implementation of ITSM and BPM projects at all stages.
Front end developer
• Development and editing of websites.
• Integration of layout on the cms system of the company.
• Cross-platform development.
• Cross-browser development.
Teacher
• Development of a lesson plan and their implementation for
 students in grades 5-9.
• Training in HTML, CSS, Scratch 2, Scratch 3.
Front end developer 
• Development of websites.
• Editing websites.
• Development of mobile applications.
• Cross-platform development.
• Cross-browser development.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

*The project for the thesis was related to face recognition, used OpenCV, Haar Cascade and Python
* University projects related to computer vision (edge detection, face mask detection)

**SUBTITLE GENERATOR**
Create subtitles for videos in real time. Learning and understanding how the
YouTube subtitle generator works, then understanding the algorithms and trying to
recreate the subtitle generator. I started with simple videos of 10-30 seconds each
with a distinct sound of speech, then complicating the whole process to videos of
5 minutes with background noise.

**RISK PREDICTION MODEL FOR BANKING SYSTEM**
A project related to the financial sector, where there was a huge dataset with bank
clients. I did data analysis, brought out a group of creditworthy clients and a group
to which it is not advisable to give loans. Trained a model that itself displayed
sorted groups and singled out clients with possible risks of not paying the loan, if
given to them.
**IT DEPARTMENT OF THE UNIVERSITY | Intern**
Learning Python and C++. Learning python libraries like NumPy, Pandas, Matplotlib Creating and visualizing graphs using ready-made solutions in Matplotlib and pandas During the training, datasets were chosen to test their skills. The project was called ”911 calls” and a project related to the financial sector where, using pandas, it was necessary to get information from the site. Studying machine learning and theory. Things like linear regression, logistic regression, k nearest neighbors, decision trees, and random forest have been
explored. Completed projects for the complete assimilation of educational material

**INSTITUTE OF INFORMATION AND COMPUTING TECHNOLOGIES |  MACHINE LEARNING INTERN**

Learning NLP and neural networks. Preparation and cleaning of datasets for
subsequent training of the model for recognizing human speech and displaying
human speech on the screen in text format. While working, I studied PyTorch, ANN,
CNN and RNN.  Simultaneously with work, I was doing a project to hone my skills in machine
learning and NLP. The project was related to the creation of automatic subtitles for
videos of various types. From documentaries to YouTube videos.

**KASPI.KZ | Junior Data Miner**
Analyzing banks partners for maximizing profits and stimulating activeness in products.
Position: Data Analyst
Category: Data Analyst
Experience: 10 years | English: fluent


I used extensively STATA for data analysis for social projects as well as for business projects. 
I carried out empirical studies quantifying the impact of disaster on the likelihood of one's survival which was integrated into USAID's development strategy for the regions vulnerable to natural calamities. http://pdf.usaid.gov/pdf_docs/PA00TH36.pdf
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


I used to be an economist in the company Pick-Stroy, I performed various tasks related to the economic affairs of the enterprise. The collected information from a significant company design department, verification documents for passing tenders from government agencies orders from the council of Odessa. Communicated with suppliers to purchase necessary spare parts for the company's construction equipment leading to regulated and administrative accounting. Engaged in the calculation of salaries and kept records of waybills for reporting to the tax office on the movement of equipment and the performance of work according to contracts. In 2021, the company opened a small plant for the production of concrete mixtures in the city of Sarata. My task was to organize reporting on new business activities which is this plant within the framework of a road repair company. Less than a month later, the plant was put into operation. Further accounting of produced raw materials for road construction and the calculation of the cost of production led only me. For the first time, I began to use Python in this position for cataloging purchased spare parts for the enterprise. Wrote a script that helped me sort out several dozen folders with invoices that were lost in the database due to a fire on the server, in less than a month the information was digitized. As a trader in DTTW, I was responsible for included collecting the necessary information and creating charts about trading in the US stock market (NYSE, NASDAQ) of a team of traders and personal collection statistics on your trading results. At that time, I used Excel to visualize the results, I also wrote small Java scripts to filter financial products in a specialized platform.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper

MITx • 18.6501x - Fundamentals of Statistics
MITx • 6.419x - Data Analysis: Statistical Modeling and Computation in Applications
MITx • 6.86x - Machine Learning with Python-From Linear Models to Deep Learning
I used to work as a data scientist and data analyst in Banking, Telecommunication, Finance and Hospitality sectors starting from 2016. 
As a data scientist with experience in Python, Tableau, and SQL, I have a strong background in analyzing data, building machine learning models, and visualizing data. 
My skills in data analysis, machine learning, and data visualization make me well-suited for any role that requires a data scientist.
Startup ecosystem mindset are preferred
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: fluent


I used to work with full-cycle product management of online courses, including planning, development, launch, management of online courses, market research, content development, instructional design, and collaboration with cross-functional teams. 

I know how to do data analysis to evaluate the business model and develop ideas for its improvement. Also, I have strong research and analytical skills, including monitoring and evaluation, qualitative and quantitative research. This involved designing research methodologies, conducting fieldwork, analyzing data, and producing reports and policy briefs.

I developed and implemented communications strategies for various organizations, including social media management, content creation, media outreach, and event planning.

Currently, I want to deep dive more into data analysis for the impact and improve my computational skills, preferably in the field related to security (info environment, national security, cybersecurity, etc).
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: pre

i think data analytic  projects very good for me
i use python, sql, tableau and other libraries for data analytic
i want a job which i will develop day by day and this job mainly about data analytics
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: fluent

Currently, I work as a manufacturing engineer at ATC (Aero structure Technologies Cyclone) where my responsibility is to pursue the production line of the Boeing 787 Dreamliner composite part production. Furthermore, I was mostly involved in the PTTP (part tool thermal profiling) experiment qualifications; therefore, I had to apply my programming skills to my job. I used to analyze and visualize the data using MATLAB and python. 
Besides my working experience, I'm currently studying in the Ilia State University at Advanced IT training (Data ops). With my experience in data engineering so far I can handle data analysis and visualization projects. Meanwhile, I'm learning flask and django.js to advance myself in this field and start using those frameworks for machine learning.
I've analyzed data from the composite part manufacturing curing oven called "Autoclave". Using MATLAB and python I've cleaned analyzed and visualized the data for the Boeing qualifications. Moreover, I've been writing scripts for fluid flow problems in MATLAB.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

The financial system for Amazon trader company has been built.
The accounting and analytic system for outstaffing company has been built.
The financial system of holding (3 types of business and 9 business units) has been built. Strategic planning, budgeting + financial modeling, and ERP system have been implemented.
I've been in finance for more than 15 years. I have a huge experience in accounting, reconciliation, budgeting, and corporate finance.
I am familiar with such accounting tools as Quick Books, Xero, ZohoBooks, Odoo e.t.c.

I have experience in finance modeling using both: MS Excel and Google Spreadsheets. Also, in my practice, I use MS Power BI (including Power Query) and Query (SQL) in Google Spread Sheets. Now I am exploring Google Cloud Platform tools. like Big Query, Data Prep, Cloud Fusion, Looker, etc.

I have two degrees.

The first is in computer science (the subject of my diploma was: "Protect of information in DataBase (Oracle 7.3)". And I developed a server part of the system including Database scheme, triggers, stored procedures, and functions.)

My second degree is in enterprise economics.
I've made a successful career as a financial director and now I want to come back to work with data as a Data analyst, Data engineer, or Data Scientist.
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: upper


I've been working as Analyst for 7 years including 3 years as Analyst Team Lead in international tour operator.
I love working with numbers, creating different reports, finding a source of problem when something is going wrong.
My career changed 3 years ago when I became Analyst team lead. It's not just about management. It's about helping other people to work better and increase efficiency of your team.
Now I'm looking for good oportunity to improve my skills and learn new technologies.
Position: Data Analyst
Category: SQL
Experience: 4 years | English: fluent


I've been working as data analyst and data engineer more than 5 years at the largest bank of Azerbaijan - Kapital Bank OJSC.
My main duties are writing SQL scripts on Oracle, SQL Server Postgre and MySQL, develop ETL pipelines on SAP BODS and MS SSIS, data cleaning, development of feature stores and managing team of data experts consisting 10-12 people. Also, have been developing and designing visual dashboards on MS Power BI and Tableau for Kapital Bank OJSC and the Ministry of Education. 
I've been working in Agile structure therefore have good experience working with scrum methodology.
Fluent in English and Russian.
Position: Data Analyst
Category: Support
Experience: 1 years | English: upper


I've been working as data enrichment for a year at a map developing company, took a park in several projects. Also have experience in writing texts, rewriting and copywriting. Ready to learn new programs and work in new line.
Position: Data Analyst
Category: SQL
Experience: 2 years | English: fluent


I’ve been working for a couple of years as a data analyst in a company. I’ve a very good experience and understanding in databases. I also work in sql,MySQL, myPhp and different kinds of databases. I want to carry on my studies and I’m planning to start remote jobs and upgrade my career in the future
Position: Data Analyst
Category: Data Analyst
Experience: 7 years | English: upper


I’ve been working in a bank in Risk Management department almost 7 years. I started as a credit risk analyst and then switched to credit risk modeling field. As an analyst I used Sybase and PL/SQL for data extraction and then building reports on excel and tibco spotfire and get analytical insights from the data. As a credit risk modeler i participated in building various credit risk models
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


I've done different type of project using Microsoft excel.
Projects like:

Employee performance analysis
Social media sentiment analysis
Fraud detection analysis
Product recommendation analysis

I will like to improve my  data visualization skills by learning visualization software, like Tableau.
Position: Data Analyst
Category: Data Science
Experience: 5 years | English: fluent

1st place in Master's degree exam
3rd place in Bachelor's degree exam
1st place in Sheki chess tournament
I've done Digital Sales tracking automation with McKinsey and also created an python tkinter simple automation app in current job. I've used python, pl/sql developer, tableau, and r language. My current role in the team is senior data scientist. For future, i plan to build machine learning models regarding with x-sell.
Remote work, part-time, freelance, and relocation to another country are all okay for me.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

Successful data engineering support of Amazon reseller with several millions of SKUs during about 2 years.
I've got a huge experience at production environment at industrial engineer position. Quite often this role require a data analysis of process, so I'm aware about common toolkit for this activities.
My first meet with Data analytic starts from about 2 years at data engineer position at the Amazon reseller company.
Then, previously finished Data analytic course from Google at coursera give me a new abilities as SQL, Tableau and R, surely at basic level.
Through those working years I've gained a colossal experience at the problem solving and team collaboration.
I don't have any unwanted duties at work scope, at least yet. :)
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper


I've just graduated from courses - Business Intelligence (Data Analysis). During 6 months I have been learning how to write SQL qeuries and Python code. I found out how the ETL prosseses carried out. I worked with a relational database MySQL. Also I worked in Tableau and Microsoft Power BI programs. I found out how to get data, clean it and worked with it to obtained the result (e.g. make a proper calculations, informative chart/graph/diagram, ets.)