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

- Exceptionally quick learner and avid researcher;
- Commercial experience _ top tech brands: Netflix, Expedia.
- Predicting AD and dementia with ADNI clinical database. Selected and tuned the parameters of the model, which resulted in model’s 93% accuracy.
Tools and methods used: Statistical analysis, Pandas, Numpy, AdaBoost, RandomForest, Support-Vector Machines, Seaborn, Matplotlib.

- I used MATLAB and Psychtoolbox to analyse the dataset of a psychological experiment.
Tools and methods used: MATLAB, Statistics and Machine Learning package.

- Wrote SQL queries for a project at Netflix to navigate a BigWord database.
My main goal is to translate my academic knowledge and commercial experience into real-life projects.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


Prepare audit observations supported with adequate working papers. 
 Maintain adequate current audit file (working papers) for review at the end of the audit. 
Study and inspect budgets, balance sheets and other related financial records and statements 
 Perform Analytical and Substantive procedures 
 Performs other related tasks as assigned by the management.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


Preparing and cleaning large datasets for analysis. Writing SQL queries to extract and manipulate data from 5 complex databases. Applying statistical methods to draw insights and make data-driven decisions. Creating data visualizations and interactive dashboards to communicate findings to stakeholders. Collaborating with stakeholders to understand business needs and requirements and providing actionable insights and recommendations based on data analysis. Working with cross-functional teams such as marketing, finance, and operations to support data-related initiatives.
I have high expectations from this company as I believe it aligns well with my career goals and values. From what I have researched and learned about the company, I see it as an innovative and dynamic organization that values employee growth and fosters a collaborative work environment. I expect to work in a challenging and intellectually stimulating role that allows me to apply my skills in data analysis while also providing opportunities for professional development and growth.
Furthermore, I expect to work with a team that encourages open communication, creativity, and learning from each other. I value an organization that promotes diversity and inclusion, as I believe it leads to a more enriching and productive work culture.
Overall, my expectation is to be a contributing member of a team that makes a meaningful impact through data-driven insights, while also being supported in my personal and professional development journey
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


Preparing of SQL queries for dashboards.
 Creation and support of own inner projects.
 Data analysis and visualization using Python.
 Creation and maintaining dashboards using Power BI.
 Support data collection, storage and processing.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate


-Preparing regular reports and dashboards for internal business partners;
-Experience with Power BI(DAX, M), Excel (Power Pivot,Powe Query)
-Knowledge of SQL
-Preparing data analysis and reports on demand;
- Сollecting and validating data for regular reporting;
- Building and maintain effective business partnerships within and across departments in related issues;
- Building monthly, quarterly reconciliation and closing reports in Excel
-Data visualization
Office work with ability to work remotely
Professional growth
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: intermediate


- preparing reports (Oracle PL/SQL, Hadoop, MS Excel) and dashboards (MS Excel, Power BI, Python, Oracle APEX);
- monitoring of key metrics: MAU, DAU, retention, churn rate, attrition, ARPU, product load;
- сustomer segmentation;
- ad-hoc requests.

I have analytical experience in the financial sector. Now I hold the position of Client Analytics Project Manager in the IT department of the Bank.
I want to apply the gained analytical experience in a friendly IT company and develop my skills.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate

I worked with a team that created large projects such as cryptocurrency exchanges, fintech projects, various CRMs, etc.
Data analysis / Python / PM
Previous experience: 

PM, 3 years (outsource)
Data analyst, 2 years 

Python: I have an experience in creating small projects in Django / telegram chatbots;
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


PREVIOUS EXPERIENCE

- Reporting & analytics setup (Looker Studio, Google
Analytics, Power BI)
- Creating reports in Looker Studio
- Analyze performance, search for insights in data, optimize campaigns based on received data
- Building a digital marketing strategy
- Launching and maintaining ad campaigns on Google Ads, LinkedIn, Facebook 
- Working in different fields: events, education, IT, e-commerce, services in B2B and B2C

GOALS

My goal is to become a Data Analyst, so I am learning  Excel, SQL, Power BI, Python, and Statistics, and I have an experience with Google Big Query. 

I made several projects to demonstrate what I have learned so far. You can find them in my portfolio.

My previous experience has a connection with the analytic field though it is specific to advertising purposes.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

Graduated from the best university in the country (Nazarbayev University)
Radically changed the field of activity without expensive courses and training
Previously, I worked as a civil engineer for more than a year and decided to change my path into IT. Having independently learned all the spectra of data analytics, I became a Data Warehouse Analyst in the business intelligence department. My responsibilities include compiling reports and collecting requirements for the development of the product and services. I work on Qlik Sense, PostgreSQL, Excel (Power Pivot) and Python. In the future, I plan to interact a lot with other teams and management, as I will be the person who offers business solutions.
I would not like to be engaged in compiling tables in Excel, only if it is not done with the help of Power Pivot or other advanced functions
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: intermediate

First, I studied computer networks and computing technology repair service at the Baku College of Management and Technology. Then I started studying computer engineering at Western Caspian University. In addition, I completed courses in Data Analytics, Machine Learning, Data Science, and SQL
Previously, I worked as a Data Analyst at the Ministry of Digital Development and Transport. As a position, I was engaged in data analysis and visualization. In addition, I was involved in data cleaning, structuring, etc.
When I work, I prefer to be given a business plan in advance. It would be great if I was informed in advance of what I was going to do and honesty was ensured.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate


Previously, I worked as a private math teacher teaching students and children in areas such as linear algebra, statistics and logical approaches to solving various problems.

At the end of February of the year before last, I set a goal for myself: by the end of the year, I would devote more than 1000 hours to the theory and practice of data analysis. These include Python programming, SQL, Data Science, Machine Learning libraries, data visualization, Power BI/Tableau, math and statistics.

Finally I became a Data Analyst at CPA Network ClickLoop. This company promotes various applications.

My area of responsibility included collecting information on all resources, analyzing client data, searching for dependencies and correlations, as well as a robot using SQL
An environment that drives personal and professional growth. Data Science assignments are also interesting although my profile is closer to the Data Analysis domain.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


Previously worked as Support associate and support Data Analyst, created dashboards and visualizations for B2B, and supplied training and AM teams with interactive Dashboards for B2B interactions. Also created metrics and calculations and automatized support reporting, results, and processes monitoring.

Currently, work in Data Science (previously known as Risk Team) as a Data Analyst, where I do the following tasks:
- daily/weekly fraud detection scripts and alert creation
- users/clusters/locations investigations
- Kibana Dashboards creation for reporting purposes
- existing products analysis for further improvement
- data visualization
- data extracting, clearing, ordering etc.

I do not consider working ONLY with such tools as Tableau or Power BI/Excel. If you have python/SQL-related projects, I will be happy to see the details
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

My first achievement was joining to clinical research company without experience in this field. In a short time, I adapted to the specifics of work in clinical research and significantly improved the capabilities of the team and the company in existing projects.
With just 6 months of experience, I became one of the key persons in the team and later received a leading position.

I have a lot of experience with risks and instant reactions to the project's risks. One of them is: the customer changed priorities of collecting biological samples for international shipment on aircraft with a fixed departure time one hour before the flight. My team was able to complete the task, I prepared all the export documents and satisfied the research timelines of the customer.

In clinical research, I have experience with all types of work: aliquoting blood into tubes, negotiations with the customer, the development of documents for the international shipment of biological samples, verification of an established oncological diagnosis, entering data into the database, revision the company's standard operating procedures in conducting audits. 
I work like nothing is impossible.

Despite working in the clinical research field, I am fluent in IT terminology and I have personal experience with several programs. For example, I prepared my CV in Figma, before that I tried to create projects in JS and Python.

I have a deep understanding of the nature of setting the rules, so even without reading the current one, I already know the boundaries of any operation.
Previous position: Head of Data and Logistics department (CRO, not IT) in 2020-2022 years.
Responsibilities:
- Provided leadership to Data Analysts, Supplies Managers, Logistics Managers, Office Managers, and Laboratory Staff
- Performed the training of the personnel in every team
Managed the projects from initiation to closure in the data part, solved project issues/queries
- Secured program resourcing and participated in the recruitment of project resources when required
- Created/edited/pre-approved the Project Documentation (Project Specifications, Standard Operational Procedure, Statement of Work, other)
- Created the forms of automatic tracking of the project status on a daily/weekly/monthly/annual basis
- Communicated with clients on a daily/weekly basis
- Investigated the risks related to project deviations

I was not only involved in the management and coordination of people because I had my own tasks and responsibilities as a logistics manager.

Four years of my work in numbers:
Projects I participated - 310;
Projects I took part in as head of department - 160;
Maximum number of projects I managed at the same time - 12;
Clients who asked specifically me to lead their projects and notify them in a planned way - 5.
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: fluent

Currently, the segment I work in is Support, and my recent achievement is a successful usage of the TFIDF model to predict the request type of a ticket/request coming from email as a source (and containing no type identified, therefore). Based on the identified request type, the ticket gets directly assigned to the correct 2nd level agent, which helps us to reduce first-level support agents' overload. The implementation of my solution helped my team to achieve this goal.
Primarily, I analyze data with the R programming language. My current skill set includes data manipulation, data visualization, exploratory data analysis, reporting with R Markdown (interactive reports), building shiny dashboards of different levels of complexity. I have a strong knowledge of statistics. I also use SQL to query data from databases. In my current work, I combine all of the above to help my team make data-driven decisions.
I am on my way to becoming an exceptional data scientist, so do not expect from me a strong knowledge of machine learning. Right now, I am a true data analyst with a background in statistics. 

I prefer to work with the R programming language, exceptionally, so please do not captivate me with Python or Excel. I am also confident with working with BI tools and SQL, but it's important for me to use R studio in my work as well.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: pre

Providing legal services to individuals and companies, legal support for projects, Representation in courts of various
levels (analysis of the problem, analysis of legislation, development of a business strategy, negotiations). Contractual
work (analysis of the situation, analysis of processes, finding the best option for protecting the customer and
negotiating). Legal opinions (analysis of the situation, analysis of legislation, selection of the applicable rule and
writing). Consultations, mediation, mediation, interaction with public authorities.
Private Advocate
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: upper

3.92 GPA in Ukrainian Catholic University,
Certifications: Probability & Statistics MIT OpenCourseWare – November 2022
Academic Projects:
Image Style Transferring 
Collaborated in a team of three to create an application that transforms content of one image into the style of another.
Developed team schedule, including quality measurement for each major milestone.
• Conducted a thorough analysis of the relevant literature, a unique and effective algorithm has been developed.


Developing an App for Database Management System
Developed and tested the Database Management System
• Specified missions and objectives.
• Elicited requirements, Developed an External views. (UML Class Diagram, Logical Model) • Normalization of DB to 3NF (MySQL)
• Developed and tested Software App for manipulating DB. (Python, Tkinter)

Collaborated with a team of three individuals to conduct an econometric analysis on the wages of IT specialists in
Ukraine during the course of the pandemic.
• Preparing the data for the research.
• Performed Preliminary Data Analysis (Python, Jupyter Notebook). 
• A/B testing, Analysis of the chosen econometric model.
Private joint-stock company «MHP», Kyiv, Ukraine: Business Analyst
• Developing and analysing the idea of cashier-less store 
• Performing Cost Analysis, User behaviour research
FreshFish, Vinnytsia, Ukraine: Software Developer
• Developing software aimed at optimizing distribution processes across various stages of the product sales cycle. 
• Collaborative efforts focused on enhancing brand visibility and acquiring a wider customer base.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

While working on ShypShyna in collaboration with developer implemented tyre price comparison parser built-in local CRM. As a result phone sales increased by 4% as was seen on GA. 

During my second Ph.D. year created a crystallizer to automate process of crystal synthesis in cooperation with my groupmate (Using 3D printing techniques, deep scientific analysis of crystallization process)
Proactive, business-oriented and determined Data Analyst with good
analytical skills, strong technical background in physics, and great
communication skills. 

I've been working as marketing representative and as a sales manager. During that period I take a close look at business processes, constantly thinking about how to improve and innovate them. After all, I decided to become a data analyst.
- Preferably work in office, because I tend to interact with the team offline. 
- Enjoy complex and various tasks
- Would appreciate mentorship, as I am a strong believer in the lifetime-learning concept
- Would like to try myself in cloud technologies
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: intermediate

Organization of daily open monitoring of all operational processes. Analysis of efficiency and adjustment of existing processes, information support when testing new processes.
Training work team leaders to see, monitor and influence key performance indicators of their subordinates.
Processing of large data sets, due to the use of MS SQL and processing and design in Jupyter Lab, MS Excell. Automation of management and analytical reporting. Analysis of the sales funnel and loan portfolio based on the analysis of supply of change. Calculation of key performance indicators (KPI) of operating room employees, development of new indicators for performance analysis. Analysis of existing business processes and products related to project implementation. Preparation and development of new regular and specific analytical reports and information materials. Development of technical tasks.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

I have been able to help a fashion company keep one of its stores it intended to close open as a result of insight gotten from visualisation done based of the dataset they presented. The visaulisation made me critically think as to what caused other stores to pick up in sales and customer retention at different points in time, and why the store the client had wanted closed did not improve at all.

After some critical thinking and investigative analysis, I discovered the reason other stores picked up was because one of the employees had started investing her resources in developing her customer and sales skills and had influenced her other colleagues. She had built a sub-structure in the stores she had worked, these were the stores that were performing well.

The knowledge of this insight made the stakeholders in the business invest more in developing the soft and hard skills of their employees and also promoting the particular employee that was responsible for the ripple growth in their stores.

It is an accomplishment to me because i was not only able to help keep one of their stores open, my critical thinking and investigative analysis skills was able to give an employee a promotion.
Process-oriented Data Analyst with demonstrated and proven experience in analysing and interpreting data while enhancing customer retention to drive successful business objectives. Utilises business analysis intelligence in assessing business performance, developing cost-effective solutions, and leading efficient operations. Skilled in preparing detailed documents and reports while managing complex internal and external data analysis responsibilities. I focus on leveraging data analysis outcomes to improve decision-making while leading a successful and productive team. I possess strong attention to detail and dedication to technical improvement to each project embarked on which has allowed me to garner skills and knowledge in PowerBI, Tableau, Data Cleaning, Data Modelling, Data Analysis(exploratory, descriptive and most recently predictive analysis which I am working to improve on.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


Process oriented specialist with analytical thinking. Have experience in SQL, Power Query and applying these skills for data collection, processing, delivering, analysis, and visualization.

BUSINESS DEVELOPMENT SPECIALIST at Ab InBev Efes
- Implementation of improvements in data exchange (JSONAPI, XML) between the company's and distributors'systems
- Gathering, handling and visualizing data
- Creation reporting tools using Power Query to check data correctness and analyze project implementation effectiveness
- Writing SQL queries to get data for analysis

DISTRIBUTION PERFORMANCE ANALYST at Ab InBev Efes
- Distribution discounts calculation and effectivenessanalysis
- Creating on demand project reports
Participation in data implementation to B2B portal
- Recommended stocks reporting
- Automation of report forms for collecting data

PROCUREMENT FUNCTION SUPPORT SPECIALIST at Ab InBev
- Leading PDCA project of creation Purchase orders for
services
- Implementation of automatic purchase order creation
- Participation in global KPI projects
- Support for purchase order creation, SAP ERP
- Compliance with and the enforcement of global policy
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper

I work on creating ideas and hypotheses about the direction of product development. I am involved in creating testing plan for these hypotheses. I communicate with the development team about the statistics that need to be collected for testing. I apply new approaches to test analysis, data visualization, data-driven storytelling and share them with the analytics and product communities. I have deep knowledge of sql, deep experience in creating dashboards, working with product metrics, testing statistical hypotheses and applying knowledge of mathematical statistics in practice.
PRODUCT ANALYST at Jooble, 2021-now
Identify, analyse, and interpret trends or patterns in complex data sets;
Conduct quantitative and qualitative analysis;
Implement interactive dashboards;
Perform ad hoc analytics requests;
Provide insights and interpretations supporting features and business
decisions;
Responsible for verifying all DWH tasks are performed;
Proactively work to optimize/improve analytics stack;
Position: Data Analyst
Category: SQL
Experience: 1 years | English: upper

Udemy:

The Complete SQL Bootcamp – (2021)
 • I figured out how to read and write complex queries to a database using PostgreSQL.
  • Analyzing data using aggregate functions with GROUP BY commands.
 • Running advanced queries with string operations and comparison
operations.
 • To use logical operators to add logic flow to SQL queries.
 • Common SQL JOIN commands.
 • Create tables and databases with constraints on data entries.
 • Use the psycopg2 library with Python to interact with a database in PostgreSQL with Python.
 • Import/Export functionality of PgAdmin.

English Grammar Launch – (2021)
Product*
Is a B2B solution for restaurant CRM. This system is used at restaurants (generally in the USA market) and includes a loyalty program, gift card, delivery service, shopping tracker, etc. It consists of the full mobile app for IOS and Android that’s eCommerce enabled for e-Wallet and integrated online ordering.

Responsibilities:
•  Setup and update clients configurations;
•  Data manipulation and analysis;
•  Correctness testing;
•  Engaged in optimization and implementation of new features for the product;
•  Writing articles for the Questions and Answers blog;
•  Technical support, etc.
Looking for a team with common values, where it would be possible to develop and be realized as a specialist.