lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


In my current job i have been doing the following
1. Leveraged SQL queries to perform data analysis, created complex joins and subqueries, and optimized database performance through indexing and query tuning.
2. Developed an ETL processes to extract, transform, and load data from multiple sources into target systems, ensuring data consistency and accuracy throughout the migration process, and creating reusable scripts and workflows to streamline future data migrations.
3. Analyzed and visualized data using Python libraries such as Pandas, NumPy, and Matplotlib, and created custom functions and scripts to automate data processing tasks.
4. Designed and developed complex formulas and functions in Excel to transform and manipulate data, created pivot tables and charts to visualize data, and used VBA to automate repetitive tasks.
5. Designed and developed interactive dashboards and reports in PowerBI, incorporating visualizations such as charts, tables, and KPIs to help clients monitor performance, identify trends, and make informed decisions.

Based on my experience, I believe there are a few areas where I could improve my skills. One area that stands out is cloud computing. As more and more companies move their data and applications to the cloud, it's becoming increasingly important to have expertise in cloud technologies like AWS, Azure, and Google Cloud. While I have some familiarity with these platforms, I could benefit from further training and hands-on experience to become more proficient. Additionally, I would like to continue to develop my skills in machine learning and data science, as these are areas that are becoming increasingly important in the field of data analysis. Finally, I believe that there is always room for improvement in communication and collaboration skills, particularly in working with cross-functional teams and communicating technical concepts to non-technical stakeholders.
As a data analyst, my expectations are to work with large datasets, perform complex data analysis, and derive meaningful insights that inform business decisions. I am looking for a role that allows me to use my analytical and technical skills to solve challenging problems and make a tangible impact on the organization. Additionally, I am looking for a company that values continuous learning and encourages professional growth, providing opportunities to expand my skill set and stay up-to-date with the latest technologies and trends in the field.

On the other hand, I do not want to be in a role that is primarily focused on routine or repetitive tasks, without opportunities for creative problem-solving or critical thinking. Additionally, I do not want to work in an environment that lacks collaboration or open communication, where I am not able to work closely with other departments or stakeholders to understand their needs and provide data-driven insights. Finally, I do not want to be in a position where my contributions are not valued or where there are limited opportunities for advancement.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent


In my current role as a Data Analyst at Rixos, I have gained valuable experience analyzing 
and providing insights on the data of one of the world's largest hotel chains. I have also 
worked as a QA Engineer at Burgan Bank, where I collaborated closely with the IOS 
development team to create and execute test scenarios. In both of these roles, I have 
honed my skills in data manipulation and visualization, as well as my ability to work with 
a variety of tools including Apache Superset, Sheets/Excel/Knime, and Figma.
I am also highly skilled in programming languages such as PostgreSQL and Python, and 
have experience with NLP and connecting fine-tuned models to channels like Telegram 
through my work on the Rixos AI Chatbot project. My strong understanding of machine 
learning theory and practice, as well as my technical fluency in English and excellent 
communication skills, make me well-suited for this role
Position: Data Analyst
Category: Python
Experience: 4 years | English: fluent


In my current role as an IT Specialist at DHL Supply Chain, I have successfully deployed digital logistics systems for three new customers, resulting in a 3% increase in overall revenue for the company. I have also maintained excellent user relations by achieving a 95% customer satisfaction rate through effective communication and problem-solving skills.

As a project lead, I have successfully led efforts to implement four complex digital logistics systems, ensuring on-time delivery and achieving a 90% success rate. I have also developed solution designs that improved system efficiency and reduced operational costs by 15% for three major customers. Additionally, I have conducted thorough testing of the system, identified and resolved 80% of the reported issues, and improved system stability and reliability.

In my previous role as a Software Engineer at Arcelik Global, I designed and implemented new features for the home appliance project using C++, improving user experience and increasing customer satisfaction by 30%. I worked collaboratively with the QA team to create and execute test cases, ensuring the software met the requirements and was bug-free. I utilized Qt and C++ languages to develop high-quality code that improved system performance by 20% and decreased system downtime by 15%. I also collaborated effectively with the QA team, reducing the number of critical defects by 50% and increasing the quality of the product delivered.

As an Information Management Specialist at AIESEC, I led a team of international agents from Brazil, Morocco, and Egypt to resolve over 3300 tickets and manage 6000+ tickets, ensuring timely and effective customer support. I managed a database of 40,000+ leads and 10,000+ customers by creating a CRM system for customer flow. I also created new queries regularly in PostgreSQL, utilized Power BI and Google Data Studio to develop dynamic reports, and provided Python code snippets to the Dash. I created automation through Google Services, reducing automation costs by 10,000₺ and implemented a visitor analytics solution to manage vendor relations for aiesec.org.tr.
Clear communication: I expect the employer to have a clear communication plan in place to ensure that everyone is on the same page. This includes regular updates on project status, expectations around response times, and clear channels for communication.

Supportive team culture: I expect to work in a supportive team culture where everyone works together to achieve common goals. This includes regular team meetings, opportunities for feedback, and a positive work environment.

Flexibility: As a remote developer, I expect the role to offer flexibility around working hours and location. This includes the ability to work from home or from different time zones and the ability to adjust my schedule as needed.

Salary: I would expect the salary to be competitive with industry standards, taking into account factors such as experience, skill level, and the location of the company.
Position: Data Analyst
Category: Data Analyst
Experience: 4 years | English: fluent


In my current role as a Project Analyst , I have successfully driven a significant 30% increase in monthly audit projects. By consistently analyzing audit and supply chain data, I have delivered impactful Tableau reports that empower stakeholders to make well-informed, data-driven decisions. These efforts have contributed to remarkable organizational growth and success. Additionally, I have played a key role in increasing revenue growth by 10% through the delivery of valuable data insights, enabling data-driven decision-making.

Currently, I collaborate effectively with team members and stakeholders across multiple time zones, including China Standard Time (CST), Central Africa Time (CAT), West Africa Time (WAT), and Central European Time (CET). This experience has fostered productive working relationships and allowed me to achieve project goals.

In my previous role as a Data Analyst at Flink SE, I accelerated product performance by providing data-driven insights and leveraging advanced analytics. I was responsible for identifying emerging trends, user segments, and patterns to inform strategic business decisions. Furthermore, I supported data-driven product experiments, created robust models, and conducted thorough data quality assessments to optimize key performance indicators and drive business success.

Throughout my career, I have worked with various technologies including Asana, Jira, Microsoft Suite, Spreadsheet, SQL, Tableau,  Sustainability Planning, and Supply Chain Analytics.

While I have gained valuable experience in these areas, I am always eager to further develop my skills. I am particularly interested in enhancing my abilities in Python, project scoping and planning, as well as process improvement. I believe that continuous improvement is essential to stay at the forefront of industry trends and deliver exceptional results.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

CFG Degree in Data
Google Data Analyst Professional Certification
Python for Data Science and AI (IBM)
CFA Level 1 Exam
In my current role as a Research Assistant at the University of Glasgow, I support researchers in their projects by utilizing my expertise in data analytics. My primary tools for data collection and analysis are SQL, Python, and Jupyter Notebooks. I am actively involved in data-driven decision-making, where I employ my proficiency in Pandas, NumPy, and Matplotlib to process and visualize data effectively.

Previously, as a Portfolio Manager at the Central Bank of Armenia, I honed my skills in data-driven decision-making and problem-solving, aligning trade ideas with the investment strategy to maximize returns and minimize risks. During my tenure as a Tariff Analyst at Tripathon, I utilized data-driven approaches to negotiate better rates with hotels, resulting in improved booking opportunities through direct contracts.

My educational journey has been instrumental in developing my expertise. Pursuing a Master's degree in Financial Modeling and Investment at the University of Glasgow, I gained exposure to various financial modeling techniques and enhanced my technical proficiency using Excel, R, MATLAB, and Python. Moreover, completing the Data CFG Nanodegree provided me with essential skills for a data career, including SQL queries, data extraction, and analysis, as well as proficiency in data processing and visualization using Pandas, NumPy, and Matplotlib.

In my future endeavors, I aspire to further enhance my analytical capabilities and contribute to data-centric projects. I am eager to explore and implement cutting-edge technologies in data analytics and stay updated with emerging trends in the field. Additionally, I aim to leverage my diverse experience and technical skills to drive data-driven solutions that have a meaningful impact on business decisions.

Overall, my passion for data analytics, combined with my strong technical background and commitment to continuous learning, make me determined to excel in every project and task, making valuable contributions to the success of the team and organization.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: intermediate


In my enriching journey at Kapital Bank since July 2022, I have had the privilege of contributing extensively to the Overall Experience and Customer Experience squad. Within this dynamic environment, I've been entrusted with the responsibility of delving into the intricate realm of customer behavior analysis. By meticulously examining customer interactions with the Birbank app, I've been able to glean invaluable insights that transcend mere data points.

Harnessing the power of data analytics, I've collaborated closely with the marketing department, playing a pivotal role in sculpting innovative marketing strategies. My efforts have been integral in providing the department with profound insights that guide the development of these strategies, offering a unique blend of creativity and data-driven precision.

At the heart of my role, I've masterfully managed the complete lifecycle of data analytics. This comprehensive journey begins with the art of collecting data, a process that requires finesse and accuracy to ensure the foundation is strong. I've delved into the realm of data cleaning, understanding that pristine data is the bedrock upon which insightful analysis is built.

My proficiency in SQL has enabled me to perform intricate data manipulation, crafting numerous queries for detailed analysis. Additionally, I've demonstrated my capability in centralizing data by extracting it from multiple sources, contributing to the creation of a unified repository for enhanced accessibility and analysis.

In my previous role at 166 Logistics from March 2021 to July 2022, I similarly provided vital insights to the marketing department and managed end-to-end data analytics processes. This encompassed diverse responsibilities such as data collection, web scraping from multiple sources, rigorous data cleaning, testing, insightful visualization, and comprehensive reporting.

During this time, I employed PowerBI and MS SQL to conduct thorough data analysis, showcasing my adaptability to different technological tools. My role also involved collaborating with various teams to gather, analyze, and document intricate data requirements for medium to high complexity projects.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: pre


In my last experience like Data Analyst my tasks :
Data collecting from respondents through surveys
Data cleaning with Excel/SPSS
Data analysis with SPSS or other tools
Make dashboards and presentations about data storytelling

And troughout the internship my tasks:
SQL and Tableau mentoring service
SQL lessons (Group and individual)
Checking and explaining assignments
Teacher/office assistant
Data visualization and modeling in BI Project
Data mining/web scarping with Python
Data cleaning with Excel
Dashboards in Tableau & Power BI


Also I completed 2 visualization projects:
1) Tourism Satisfaction Analysis (Tableau)
Analyzed tourist satisfaction by creating a dashboard. Considered that the dashboard should only have valid survey results. Showed a number of surveys. Showed average rating. Compared rating results by questions. Used graph for Likert scaled data. Showed demographics of survey participants. Created a
map of countries by average rating.

2)Sales Dashboards for Digital Marketing Company (Power BI)
Illustrated map shows total Sales by Region for the entire company history. Illustrated Treemap of Sales by Region and Subcategories Time-Series of Sales growth by quarter and Customer Type Used Complex Design Tools, titles, filters, dashboard actions for getting better view.
Position: Data Analyst
Category: Data Analyst
Experience: 0 years | English: upper

I've completed Python for Data Science course from Michigan State University, which gave me a lot of knowledge about Python, specifically pandas and numpy libraries. I also have completed Google Data Analyst course which gave me a lot of theoretical knowledge about data analysis as a whole, while also expanded my knowledge on Excel, SQL and Tableau. During this course I had a chance to work on my pet project which help me understand the role and job of a data analyst
In my pet project I used the pandas library in the Python programming language for the analysis and processing of extensive datasets. My work entailed data collection and cleansing from diverse sources, structuring them, and preparing them for further analysis. Using pandas, I performed operations involving filtering, grouping and merging tables. For visualization of the data I used the Tableau tool to construct interactive graphs, diagrams, and reports. My experience managing teams in various video games as a captain has given me leadership and teamwork skills. These experiences have taught me the importance of strategy, effective communication, and adaptability.
Position: Data Analyst
Category: Data Analyst
Experience: 5 years | English: upper


In my previous role as a Senior Data Analyst at PASHA Life Insurance, I built a model that reduced the workload of sales teams by identifying which customers should be acquired (renewal) via digital channels vs direct sales. He also identified bonus-paying companies and customers who will probably receive bonuses, resulting in a 10% increase in annual revenue (endowment life insurance product). He also built Power BI reports / dashboards for agile squads and management to track KPI's and identify key trends in the business.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: upper

-Automated the reporting system using Excel and Python, reducing the report generation time from 30 to 10 minutes.
-Based on trend analysis and campaign performance evaluation, developed a strategy that reduced CPA by 20%.
-Developed a dashboard system in Power BI that streamlined data visualization for employees
In my previous role, I was responsible for creating hourly reports, analyzing advertising campaigns, and identifying patterns and trends to optimize ad strategies. My expertise in data analysis allowed me to uncover valuable insights, enabling data-driven decision-making and improved performance of the advertising campaigns. I played a key role in developing successful ad strategies and continuously fine-tuning them to achieve better results.
At my future job, I aspire to specialize in building dashboards, where I can conceptualize product hypotheses and test them rigorously. I am passionate about leveraging data insights to drive product development and enhance overall user experience. By creating interactive and visually appealing dashboards, I aim to facilitate data-driven decision-making and contribute to the success of the organization's products and services.
Position: Data Analyst
Category: Python
Experience: 5 years | English: fluent


In my previous roles, I have gained extensive experience in analyzing and interpreting complex data sets to derive meaningful insights and drive business decisions. I have a strong proficiency in programming languages such as Python (R), and I am adept at working with various data visualization and analysis tools such as Power BI, and Excel. I created too many automated dashboards in Power BI by connecting with Python. I have a strong experience in SQL query language. 
 
Furthermore, I have developed expertise in machine learning, statistical modeling, and data mining techniques. I have utilized these skills to develop predictive models, clustering algorithms, and other advanced analytical models to optimize business processes and improve decision-making. 
 
In addition to my technical skills, I possess excellent communication and collaboration skills that allow me to effectively work with cross-functional teams, present findings to stakeholders, and translate complex data insights into actionable strategies.
Position: Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper

-Created reports and models were regularly utilized by bank sales teams to boost sales and make branch performance decisions.
-Increased customer service speed, which resulted in less crowds at branches, despite the fact that the number of clients remained constant in comparison to prior times.
In my previous work experience, I have used a variety of algorithms and techniques to analyze data and make performance forecasts. Specifically, I have used AdaBoost, Linear Regression, and Random Forest Classification algorithms in Python to produce performance forecasts for regional branches based on internal bank and macroeconomic indicators.
I have also created models to determine which branches should be open on weekends and holidays, optimal number of branch employees (teller, cashier), as well as one to assess their productivity and profitability using historical sales data, market trends, and customer analysis. Additionally, I have experience creating dashboards utilizing Tableau for visualization and Python for automation for credit and non-credit sales as well as mortgage sales.
Furthermore, I have expertise in creating a branch rating system based on loan and non-lending product sales, and using the K-Nearest Neighbors (KNN) technique in R to create branch clustering for intra-bank competition. I have also used the Prophet Model in Python to create quarterly sales forecast reports for loan products and the Random Forest Classification model in Python to generate customer feedback.
Finally, I have experience analyzing marketing and sales initiatives to determine the most effective campaigns, using Power BI for visualization.
I am eager to cooperate with driven and collaborative teams. The major aim is to use my knowledge and experience to assist the company in becoming more effective and efficient, while also acquiring new skills from my coworkers. In our line of business, I always expect to see a corporation that cares about its people in order for them to be highly motivated.
Position: Data Analyst
Category: Data Analyst
Experience: 1 years | English: basic


In my previous workplace, I was involved in dirty data cleaning, their processing, and preparation and analysis of reports based on the received data.
Currently I want to work on tasks such as data cleaning, report preparation and analysis.