lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Engineer
Experience: 4 years | English: fluent

1.Gathered and extracted data from various sources, including databases, spreadsheets, and
APIs.
2.Conducted exploratory data analysis to identify patterns, trends, and anomalies in the data.
3.Developed and maintained data models to organize and structure large datasets.
4.Created and executed SQL queries to extract and manipulate data.
5.Developed and executed statistical models and algorithms to analyze the data.
6.Created visualizations and reports to communicate findings and insights to stakeholders.
7.Collaborated with other teams, including business analysts and data scientists, to develop
data-driven solutions.
8.Participated in data-driven decision making by providing insights and recommendations
based on data analysis.
9.Maintained and updated data documentation, including data dictionaries and data quality
reports.
10.Obtaining, digitizing, and maintaining current spatial data layers and relational databases,
compliant with current company standards.
11.Providing technical support for the creation and visualization of data layers and map products
using arc GIS software products & Tableau.
As a data analyst, I have experience working with various tools and programming languages such as Excel,
Python, and Tableau to analyze and visualize data. My passion lies in using data to drive strategic
decision-making and solve complex business problems. I am dedicated to leveraging data-driven insights
to provide valuable recommendations to stakeholders, with the ultimate goal of improving business
outcomes.
In addition to my technical skills, I possess excellent communication and interpersonal skills. I understand
the importance of collaborating with cross-functional teams and effectively communicating insights to
both technical and non-technical stakeholders. I am constantly seeking opportunities to learn and stay
up-to-date with emerging trends and technologies in the field. I am committed to leveraging my skills and
expertise to drive meaningful change and impact within organizations.
I do not want to work in an organization where there is no career growth.
Position: Data Analyst
Category: Data Analyst
Experience: 6 years | English: fluent


As a Data Analyst, I have expertise in inspecting, cleansing, transforming, and modeling data to discover useful information, informing conclusions, and supporting decision-making. 
In the past, I've worked in a variety of data-related tasks, including Cohort analysis, ETL development, A/B testing, and the Development of metrics and interactive Dashboards.

Stack:
DBMS: MSSQL, Postgres, Greenplum, Clickhouse 
BI: Tableau, Redash, Superset, Metabase
Programming language:  Python(pandas, matplotlib, seaborn, plotly, scipy, jupyter)
Other: Airflow, Git, Docker, Statistics and Probability.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


As a Data Analyst, I have worked on many analysis and analytical projects over the last 3+ years, some which include: creating an end-of-year descriptive analysis summary report, Tableau dashboards to facilitate business decision making, etc. I am currently looking for a remote role to facilitate the growth of my career, develop new skills and experiences, and to positively impact my community and the business world.
Position: Data Analyst
Category: Data Science
Experience: 2 years | English: fluent


As a data analyst, I have worked with various organizations and teams to drive data-driven decision-making. My experience includes conducting market research, competitive analysis, and extracting insights from large data sets to inform marketing and product strategies. I have collaborated with multiple teams to develop and implement chatbots, improving their accuracy and effectiveness. Additionally, I have analyzed financial and sustainability data, identifying opportunities for revenue growth. My expertise in managing data analytics projects and producing visually compelling reports has provided senior management with valuable insights for business planning and goal setting.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper

- Advanced user in product and digital analytics
- Built analytics reporting process from scratch
- Supported multiple digital campaigns  (digital advertisement, loyalty program, etc)
- Created courses for teaching colleagues
As a Data Analyst I'm responsible for:
- Building analytics processes from scratch
- Automating daily routine tasks
- Preparing reports and visualizations for various teams as well as business needs
- Building culture of data driven approach as well as mentoring others to follow the same
- Managing, mentoring and coaching subordinates and other team members as well as contractors
- Preparing development plans

My core skills are:
- Experienced Power BI user
- Experienced SQL user
- Advanced user of Google analytics 
- Advanced user of MS Excel 
- Fast learning 
- People management
I would like to: 
- have challenging project
- work in a company with cross platform products (web, mobile, etc)
- have an opportunity to improve coding skills in Python and/or R
- use domain leading technology stack
Position: Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


As a data analyst in ROZETKA, I have the following responsibilities:
- Optimizing existing SQL scripts;
- Building dashboards, reports in Redash;
- Detailed analysis of customers behavior;
- Analysis of all business processes: logistics systems, sales analysis.
Other work experience:
- Detection of fraudulent transactions, risk reduction of potentially dangerous transactions;
- Formation data collection and their analysis 
- Data manipulation (extracting, cleaning, organizing, processing)
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


As a data analyst in the RBI Retail Innovation, I am responsible for reporting on the various different departments. For example, risk reporting, marketing, sales, etc. All of those departments have different needs and they request:
Special data exports for which I create quite complicated SQL queries.
Ad‐hoc analysis of existing data and presenting it in different formats.
Designing and creating dashboards using QLikSense, PowerBI to help business with a better understanding of customer behavior.
Mapping data and creating SQL views to make further analysis easier and faster
Configuring platforms that help to understand and enhance customer journeys in web and mobile applications, for example, Countly.
Coordinating with the engineering team to gather incremental new data.
Consultation of users and owners of reports, assistance in the analysis.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: fluent


As a Data Analyst, I research and make data visible with help of SQL and/or through dashboard in PowerBi, Tableau. I have worked with IBM Cognos in the past. Also I know my way around Python, Numphy Pandas etc.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent

So far, my accomplishments include:
-Understanding the technicalities and methods of data analysis and visualization 
-I have also successfully completed small projects. One of my projects include using the Python streamlit library to build a web app that can convert excel spreadsheets to pandas for further visualization. 
-Also effectively communicating insights, and collaborating with other team members.
I believe my accomplishments can help me advance my career and make a significant contribution to my organization.
As a Data Analyst /Junior Data Scientist my tasks include data cleaning, exploration, visualization, predictive modeling, and reporting. I use tools such as Python, SQL, Power BI, scikit-learn, and TensorFlow. I play a crucial role in the data-driven decision-making process .However, I need to continuously improve my technical skills and communication abilities especially on the Job. My personal projects can be viewed on my portfolio  with link in the website section.
As a remote Junior data professional, I know that it's important to avoid neglecting communication, ignoring documentation, taking shortcuts, and being afraid to ask my colleagues for help. Good communication and documentation are crucial to success, and it's important for me to focus on doing quality work, even in a remote setting.
Position: Data Analyst
Category: Python
Experience: 1.5 years | English: fluent

•    Data Science Academy – Bootcamp 8 that covered the following BI/AI tools: Python (Jupyter Notebook, Spyder), Tableau, SPSS (Statistics, Modeler), SQL (Oracle SQL Developer), R, Machine Learning (Supervised & Unsupervised ML), Classification and Regression models
•	“IBM Cybersecurity and Google Data Analytics Certificate Program” – Google Certified Data Analytics program offered by SOCAR and access to which was possible through passing two-step testing process: English and domain knowledge (Data Analytics)
•	Excel skills for Business: Advanced – certificate that was awarded by Macquarie University of Sydney, Australia upon completion of advanced level Excel course (August, 2020)
As a data analyst of Strategic Cards Squad, the most recent project was the analysis of salary customers’ all types of transaction data covering three months of period. As part of the project, I calculated comprehensive statistics per each transaction type, displayed monthly trend of customer transactions in both debit and credit directions using line charts, prepared and presented business requirements for the project. My analysis focused on exploring new means of opportunities that will aim to achieve a spike in total amount of retail transactions that eventually is going to benefit my company's overall long-term financial standing.
I am looking for a dynamic, progressive company that thrives on innovative and original ideas and empowers employees that come up with those ideas, where people are inspired to unlock their untapped potential by constantly being encouraged to be their best selves.
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


As a Data Analyst (Volunteer Experience) I organized and reported training results to a company-wide management, conducted data analyses to leverage the results to drive brand
decision making and survey development, presented tools and
recommendations to directors and executive staff. Some of the projects are listed at the bottom of CV.

Python ( I have 3 Machine Learning projects) - Wrote scripts to clean the data, analyze large data sets, discover hidden relationships between variables and build a training machine.

SQL (I have 5 SQL Database projects) - Wrote advanced SQL queries to extract
and analyze data from databases.

Tableau & Power BI - Was used to simplify raw data in a very easily
understandable format. Thus to create the data that can be understood by
professionals at any level in an organization.
Excel & Power Query - Performed t-test, outlier analysis, error bar
estimation, data analysis and build pivot tables.

I am currently working as a Data Analyst at Acxiom.
Position: Data Analyst
Category: Data Analyst
Experience: 2.5 years | English: fluent


As a data analyst with 3 years of experience and certifications in digital marketing and data analysis, I bring a strong foundation in Excel,
PowerBI, Alteryx Designer, SQL, and Python. Additionally, I have completed several virtual experience programs in Cyber Security
Management, Data Analytics, Data Visualization, and Artificial Intelligence with ANZ, Quantum, Tata, and Cognizant. These programs have
honed my skills in analyzing and interpreting complex data sets to derive valuable insights that drive business growth. With a strong
understanding of data analysis and visualization techniques, I can effectively communicate insights to key stakeholders and inform datadriven decision-making.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper


As a Data Analyst with a strong focus on leveraging technology and analytics, I have successfully completed a range of projects utilizing SQL, Python, and Power BI tools. My role involves extracting, transforming, and visualizing data to derive actionable insights for informed decision-making. I am also actively engaged in machine learning and deep learning projects, enhancing our predictive analytics capabilities.
Executed complex SQL queries to extract and manipulate data from diverse sources, ensuring data accuracy and integrity for analysis.
Utilized Python for data preprocessing, feature engineering, and statistical analysis, contributing to streamlined data-driven solutions.
Designed and developed interactive dashboards using Power BI, enabling stakeholders to comprehend complex datasets visually and intuitively.
I am continuously seeking to expand my knowledge in advanced machine learning and deep learning techniques, with a focus on natural language processing and anomaly detection. I am also keen on enhancing my skills in data storytelling to effectively communicate complex findings to non-technical stakeholders.
Position: Data Analyst
Category: Data Analyst
Experience: 0.5 years | English: upper

.
As a data analyst with expertise in Tableau, SQL, Excel, and Google Sheets, I recently completed the Google Data Analytics certification course, which has equipped me with advanced knowledge and skills in data analysis. I am highly skilled in manipulating large data sets, identifying patterns and trends, and creating insightful visualizations that drive business decisions.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

Projects
• Parts Inventory Management System
This project helps to make parts stock orders on the prediction of parts demand on the history of sales. Reached goals: time spent on stock orders creation decreased in 9 times, the dead stock volume has been decreased by 17%, available stock parts variety has been increased by 21%

• Credit note management
The project helps to handle credit and debit notes using a common interface. Reached goals: fully automated distributing credit or debit note sums, automatic notifications for approval matrix, detailed logging distributed sums

• Online auction of used cars
This project helps to sell corporate cars via web interface (English time limited silent auction). Reached goals: possibility to join auction worldwide, average sell price increased by 26%, number of vehicles sold through online auction has in-creased by 17%, employees activity increased by 33%
As a data and business analyst, I’m passionate about investigating complex things and finding in-sights to make data-driven decisions. My natural curiosity helped me to become a detective, who helps businesses to be much more effective and competitive. Mathematical thinking, knowledge of analytical tools and skills of data visualizations are my crucial factors to reach stakeholders goals. Owing to continuous personal growth and professional development I perform qualitative analyses and interpret results to non-technical customers without misunderstanding.

• Implementation of new projects
• Data collection, verification, cleaning and analyzing
• Interviews with colleagues on clarification of business requirements
• Writing business requirement documents, functional specification documents
• Interact with project managers, developers, data administrators, designers and technical support
• Participating in roadmap planning and backlog grooming
• Preparing test documentation, testing performance
• Presentation of implemented projects to stakeholders
• Performing short-term support on implemented projects

Successfully passed Google Data Analytics Professional Certificate (2022, 6 months program)
Position: Data Analyst
Category: Data Engineer
Experience: 1 years | English: fluent

I got TOEFL IBT score:79 in 2013. 
Won Scholarship Global UGRAD Exchange program to study in USA in 2014 as an Electrical Engineer.
in 2017 learned HTML/CSS/JS/BS and found a job in Istambul/Turkey.
Got various certificates from online platforms in data field. 
Google Ads Search Certification /Google
Pandas/ Kaggle
SQL/MYSQL / Udemy
Python/ Udemy
Modern JavaScript from the beginning/ Udemy
As a data entry person I used MS. Excel to punch data into the database and other Database Frameworks and used SUM, AVG functions, used filters to check the entered data for mistakes. 
As a Front-End developer I created pages for companies in hotel sectors with HTML,CSS, BootStrap, JavaScript and made API requests to get the dynamic data to the websites. 
Currently, I m freelancing as a Data Analyst using Pandas library and SQL database mostly to sort and clean the data to bring the wanted outcome.
I love to dig into problem solving and solve them with modern technology and would like to hear others' ideas about it from time to time because 2 head is better than 1. I love feedbacks and criticism because they are the ones making me improve myself.
  I am constantly learning because I never settle and always have to because the technologies, we are using are getting updates everyday. I stay calm when faced with adversity - I focus on making high-quality decisions I enjoy meeting new people and hearing new perspectives.
Position: 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 science projects using various programming languages and tools such as Python, R, SQL, and Tableau.
    Improving my skills in data cleaning, data exploration, predictive modeling, and data visualization.
    Participating in online communities and forums to gain insights from industry professionals and peers, and to stay up-to-date with the latest trends and technologies in data science.
    Developing a solid understanding of statistical concepts and applying them in real-world scenarios.
    Learning how to communicate complex technical concepts to both technical and non-technical audiences.

While I am proud of my accomplishments so far, I am always looking for ways to improve and take my skills to the next level. I am excited to continue learning and growing as a data scientist, and to contribute to meaningful projects that make a positive impact on society.
As a data science enthusiast, I have completed several personal projects to improve my skills and knowledge in the field. Some of the projects I have completed include data cleaning and exploration, predictive modeling, and data visualization using various tools such as Python, R, SQL, and Tableau.

In my current role, I am not currently working in a team, as I am actively seeking a job in data science. However, I have experience working collaboratively on group projects during my studies, which has allowed me to develop my communication and teamwork skills.

I am eager to improve my skills in machine learning and deep learning, as well as gain more experience working with big data technologies such as Apache Spark. Additionally, I would like to improve my understanding of cloud computing and how it can be used to scale data science projects. I believe that by continuing to learn and develop my skills, I can make a positive impact in the field of data science and contribute to meaningful projects in the future.
Position: Data Analyst
Category: Data Science
Experience: 1 years | English: fluent


As a Data Science Intern, I gained valuable experience in various aspects of data science, including data preprocessing, cleaning, and visualization, as well as implementing machine learning and deep learning algorithms on different datasets using various evaluation metrics. During this time, I demonstrated proficiency in Python programming and familiarized myself with libraries such as pandas, numpy, scikit-learn, and TensorFlow.

After my internship, I joined CaspianTech as a Data Scientist, where I analyzed large sets of gambling data and used Tableau to create interactive visualizations to help stakeholders better understand the data. Additionally, I developed a time-series model to predict the revenue of the company for the next day, month, and year. This involved working closely with the company's management to identify key performance indicators and develop accurate forecasts. Through this experience, I honed my skills in statistical analysis, predictive modeling, and data-driven decision-making.

Overall, my experience in data science has equipped me with the knowledge and skills to tackle complex data problems and generate valuable insights that drive business success.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: fluent


As a data scientist at my current company, I have had the opportunity to work on a variety of projects for clients in the agriculture, private, and government sectors. My main area of expertise is in NLP model development in Azerbaijan, but I have also worked on other data science projects.

One of my key responsibilities is optimizing databases to ensure efficient and scalable data processing. By doing so, I have been able to increase performance and improve data quality for our clients.

I also specialize in using the Pyramid Analytics program to provide clients with comprehensive data visualizations and reporting. This has been an effective way to communicate insights and findings to our clients in a clear and understandable way.

In addition to these tasks, I have developed and implemented machine learning algorithms to optimize data-driven solutions for our clients in various sectors. This has been a challenging but rewarding aspect of my job.

As a data scientist, I work closely with other team members to ensure that our data-driven solutions are effective and meet our clients' needs. In terms of what I want to improve, I am always looking for opportunities to learn and develop new skills. In particular, I am interested in staying up-to-date with the latest technologies and techniques in data science. I also want to continue improving my communication skills so that I can effectively communicate complex technical concepts to non-technical stakeholders.
Position: Data Analyst
Category: Data Analyst
Experience: 1.5 years | English: pre


As a dedicated Systems Analyst with a robust background in leveraging data-driven metrics and a strong understanding of Power BI, I offer a blend of technical, analytical, and problem-solving skills. I'm proficient in utilizing Power BI for developing interactive dashboards, performing complex calculations, and transforming raw data into actionable business insights. My goal is always to optimize systems and data analysis to drive better decision-making and improve overall business efficiency.

Key Skills & Expertise

Expert in Systems Analysis: Experience in examining and improving complex systems, and ability to translate technical specifications into clear, understandable terms.
Power BI Proficiency: Proficient in using Power BI for data modeling, creating visually impactful dashboards, and using DAX functions for intricate calculations.
Problem-Solving: Ability to identify, analyze, and resolve system issues swiftly and effectively.