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


Currently, I am working on a full-time basis as an ‘Oracle Database Analyst’ at Unisys supporting projects of European Central Bank in Budapest, Hungary:
• Maintained call center database by collecting and recording
information.
• Provided basic troubleshooting of database related issues for the
client.
• Initial support and classification, correlating events and
performing initial fault diagnostic for European Central Bank.
• Provided L1/L2 support and escalate tickets to L3 as needed

Before Unisys, I worked at SAP Hungary as an Application Support intern:
• Managed all communication with customers and partners
required to resolve support tickets. 
• Resolved support tickets within the limits of contractual Service
Level Agreements (SLA). 
• Coordinated and tracked the escalation of tickets


Being very eager and enthusiastic to gain practical and applied programming experience during my Bachelor's studies, and to continue my work experience in database development, I obtained part-time employment, through a competitive process, at GT Solutions as an Oracle SQL Developer supporting projects at the Central Bank of Azerbaijan; GT Solutions is one of the leading IT companies in Azerbaijan. I have also gained the Associate Oracle Database SQL certification from the Oracle Company:
• Perform data analysis and validation checks on corporate events.
• Prepared of daily and monthly data at Central Bank of Azerbaijan
in Oracle Business Intelligence, Oracle APEX using Oracle Data
Integration tool.
• Optimized SQL Queries in order to achieve better processing time.
• Tracked the designing, testing, support and debugging of new and
existing ETL & reporting processes.

Sincerely,
Javid Mahmudov
Position: Data Analyst, Data Engineer
Category: Data Analyst
Experience: 10 years | English: upper

AWS Certified Solutions Architect - Associate,
AWS Data Analyst Certificate
Data Analysis and Reporting using SQL, Tableau, Python, Manage Infrustructe on AWS, Support for internals users. ETL. Manage Projects. Manage external providers. BigData Systems and Cloud Systems Manager AWS in Global Operations Support Group
Position: Data Analyst, Data Engineer
Category: Data Analyst
Experience: 0.5 years | English: upper

Education: 
Lviv Polytechnic National University (Computer Science and Information Technologies): September 2021 - June 2025.
Completed trainings and courses:
- EPAM: Data Quality Engineering Training
- Udemy: Beginning C++ Programming - From Beginner to Beyond
- LinkedIn Learning: Learning Cloud Computing: Core Concepts
- LinkedIn Learning: Using SQL with Python
- LinkedIn Learning: Learning SQL Programming
- Udemy: Excel for Beginners
EPAM: Trainee Data Quality Engineer: July 2022 - October 2022.
- Technologies: Python(NumPy/Pandas), T-SQL, PostgreSQL, Amazon Web Services, Google Cloud Platform, Microsoft Azure.
- Tasks: Learning all the necessary technologies related to Data Engineering  & Analytics; Building simple ETL processes;  Working with cloud services: Amazon Web Services, Google Cloud Platform, Microsoft Azure. Experience in building ETL pipelines using SSIS; 
- Self-Development: Interested in continuous improvement in the field of Data Engineering & Analytics, exploring new technologies related to Data Science & Machine Learning.
Position: Data Analyst, Data Engineer
Category: Data Science
Experience: 11 years | English: upper

Building shaping of an effective teams from scratch.
Constant self learning and motivation to try and use new tech.
~100% success rate of conversion and upload for multiple data migration projects.
I have 10+ years of combined experience with development, data migration and analytics, systems and business analysis on projects for companies in the range from Forbes Top-100 list to small local businesses.

Areas of expertise: 
data engineering (collection, preprocessing, normalization, storage), data analytics, data management and data quality, business analysis, collection of requirements, functional and technical design, data scraping, data visualization, team management, mentoring, writing of documentation.

Tools & Technologies: 
Python, Pandas, AWS (certified associate developer), NumPy, SciPy, scikit-learn, SQL, Selenium, CSV, JSON, HTML, SAP ERP, SAP LSMW, ETL tools, pyplot, seaborn, Jupyter Notebook, Tableau, Power BI

Experience:
Python: 3+ years
ETL: 4+ years
Business/systems analysis: 3+ years
Data management and quality: 5+ years
Team management: 3+ years
Position: Data Analyst, Data Engineer
Category: Data Analyst
Experience: 1 years | English: fluent


I see myself as Data Engineer, designing schemas, data modelling. Implementing
various ML projects for my own experience I found that it is becoming my hobby and
passion. My aim is to gain more experience in the Data Science area.
Position: Data Analyst, Data Engineer
Category: Data Analyst
Experience: 0 years | English: intermediate


Student of NTUU “Igor Sikorsky Kyiv Polytechnic Institute”
Faculty of Informatics and Computer Science.
I have no commercial experience, but I like to work with data and I'm ready to develop my skills
Position: Data Analyst, Data Engineer
Category: Data Analyst
Experience: 1 years | English: upper

Passed a technical interview with SQL/Business Intelligence/Data Integration in September 2022, currently a student at EPAM's internal Data Analytics/Engineering lab.
Studied SQL as part of the EPAM Data Analytics/Engineering Summer Program (complex queries, DDL, DML, DQL, DCL, CTE, indexes, triggers, functions, views, window functions). In the internal laboratory, he was engaged in data analysis in Business Intelligence tools Tableau/Power BI, automation of ETL processes in AWS Lambda and Azure Data Factory.
Position: Data Analyst/Data Engineer
Category: Data Analyst
Experience: 0 years | English: upper

I was one of 120 laureates of Ukrainian Presidential Scholarship .
 I was in top-3 among 40 best participants from all the region of Ukrainian Olympiad in Informatics ,
math.
 Absolute first place on the UNESCO Center “Junior Academy of Science of Ukraine” Research
Contest .
Basic knowledge in SQL, Python (numpy, pandas, sklearn,  matplotlib), Tableau, Linux, HTML/CSS, JS, math statistics, linear algebra, A/B tests.
English Upper-Intermediate.
Give a lot of attention to details and can work hard in stressful situations.
I have completed several online courses in Python, Tableau, ML, Big Data, statistics, and SQL (DataCamp, Kaggle, Coursera). I have a strong background in statistical analysis, including the application of descriptive statistics and various statistical tests such as t-test, z-test, correlation, linear regression, multiple regression, and logistic regression. 
I wrote SQL requests for the analysis of statistics and analysis of product metrics.
Position: Data Analyst/Data Engineer
Category: Data Science
Experience: 2.5 years | English: fluent

Automated reports and data-check process, which can be run from Terminal, which helps avoid mistakes of manual coding and overlooking important data deviations, while also saving a lot of time.
-- I've worked as a Data Analyst for a telecom company for almost a year. My day-to-day tasks included designing and delivering regular and ad-hoc reports. What I mostly enjoyed was reporting-process automation (SQL procedures and jobs, Power BI dashboards (some DAX), integrated with RDBMS and SQL time-intelligence functions (dateadd(),add_months() etc.). 
-- My next employment was with a web-analytics company where I provided a wide variety of standardized and custom marketing reports, while also ensuring the quality of the delivered data. I mostly used such tools as SQL (analytic/window functions), Python (pandas, NumPY), AWS (Athena, databricks, S3), Excel. While working there I got some experience with Terminal (cmd), Jira, GitLab and Tableau, worked with large datasets.
-- I currently work as a Product Analyst with a company, which offers tools for personal digital security and computer performance enhancement. I develop regular and ad hoc Tableau reports (Tableau Desktop + Tableau Online), derive insights from AB tests and other data-driven investigations in order to improve funnel, user journey and drive revenue and retention. One of my projects is about collecting customer feedback results (in-house surveys + web scaring) and performing Sentiment Analysis (Python).
I've also done various data-preparation process automations, such as LTV predictions automation (Python). In terms of data preparation I've also worked with Google API, cron jobs, used some AWK (logs analysis).
One of my work pet projects is related to introducing version management process within BI team (GitLab).
I've realised that Data Engineering is my area of interest and I'm highly motivated to switch to this position.
Using English on a daily basis would be a great plus.
I highly value friendly working environment. It doesn't matter if the project is big or small, but I want to be able to work with large datasets, Python, preferably cloud technologies (AWS Services) and to be using English on a daily basis. I'm not interested in Product Analyst positions as I want to switch to Data Engineer position and focus on data pipelines rather than on product-related insights. However, I don't mind if some of my work routine includes deriving insights from the data, especially at the beginning.
Position: Data Analyst/Data Engineer
Category: Data Analyst
Experience: 5 years | English: intermediate

Built a financial reporting system, where I had to combine multiple data sources using API and write the basic logic of calculation, specify the reliability requirements and implement quality control levers. And I'm still working on the code to make this system even better

Implemented integration with Amazon Kinesis to pull, process, and store in a database for further analysis of this data. The main challenge for me was to implement fast data reading and processing (because there is a lot of data and Kinesis has its own specifics of writing data to stream), so I had to implement parallel processing
-Monitoring of key product indicators, and quickly respond to deviations
-Creating a financial reporting system
-Data visualisation in Redash
-Creating an alerting and notification system
-Evaluation of AB tests
-Working with API (Google Analytics, Amazon S3, Google Ad Manager, Slack, etc.)
-Building streaming data pipelines with bunny CDN, Amazon Kinesis
-Writing project documentation
-Mentoring of other analysts in a team

I use Python and SQL mostly in my work. First of all I want to continue improve my Python skills, I also want to advance in the evaluation of AB tests (now I have a basic knowledge in this field). One day I would like to manage a team of analysts so that we can reach new heights and learn new technologies together.
I prefer not to work on boring reports, especially in Excel
Position: Data Analyst; Data Engineer
Category: Data Engineer
Experience: 11 years | English: upper

ORACLE DATABASE SQL CERTIFIED ASSOCIATE – Oracle University 
JAVA SE PROGRAMMER 1 (PASSING EXAM 1Z0-815) – Oracle University 
GOETHE ZERTIFIKAT C1 – Goethe Institut
Good at Critical thinking and problem solving and able to collaborate with team members and colleagues from other departments. Interested in learning new technical skills that enable to increase productivity. Dedicated and technically skilled professional with a technical support skill set developed through experience. Performing the transformation, filtering and aggregation of raw data into concise, accurate and focused data marts or client specific data models using SQL and Python skills. Years of experience in building, tuning, evaluating data models and presenting data insights to make business decisions. Proven success at creating, developing BI reports. 

Using my sql, pls/sql and python skills I have worked on many financial and IT projects.
Position: Data Analyst, Data Engineer, Analytics Engineer
Category: Data Engineer
Experience: 10 years | English: upper

Throughout my career, I have always approached challenges with a "can-do" attitude and a determination to succeed. I am the kind of person who is always willing to take risks, to go above and beyond, and to do whatever it takes to achieve a goal.

While I cannot disclose the specific details of my work supporting new deals and renewals, I can say that my approach has always been results-oriented and driven by a desire to exceed expectations. My investments in my colleagues and peers have made a significant impact, helping many individuals to grow and develop in their desired direction.
Hi there! With 10 years of experience in the IT industry, I have gained invaluable skills and exp that I am eager to apply to a new role. My work journey can be divided into two parts. Firstly, I spent just over 6 years in tech support (including NOC experience) at various seniority levels. During this time, I worked across all possible support tiers, resolving a wide range of technical issues. Secondly, I spent more than 3 years focused on resolving various data-related issues, working closely with both internal and external stakeholders.

For the past two years, I have served as a Data Engineer/Analyst, building robust data pipelines to support analytics, research, and new features. My responsibilities have included analyzing data quality and conducting ad-hoc analytics, ranging from simple statistics collection to incubating and prototyping new features. In addition, I have optimized existing workflows to increase performance and reduce costs, leveraging my solid experience working with large data sets.

Please refer to the skills section to view my current tech stack. Thank you for your consideration, and I look forward to discussing how I can contribute to your team.
I believe that people are the cornerstone of any successful organization. That's why I am actively seeking a great working environment that is full of professionals who share my passion for learning and helping others grow. For me, a positive and inclusive workplace culture is essential for achieving high levels of productivity and overall well-being.

I am convinced that a supportive and welcoming atmosphere can make a crucial difference to the quality of our working lives, and I am committed to finding a team that shares this belief. By working alongside like-minded colleagues, I am confident that I can both learn from and contribute to a dynamic and collaborative environment.
Position: Data Analyst, Data Engineer, Analytics Engineer
Category: Data Analyst
Experience: 2 years | English: upper


I currently work as a data analyst in the banking industry. I have developed complex SQL scripts to put every necessary data element together and build business-friendly dashboards for stakeholders. I'm also responsible to develop and maintain a potential lead customer database for a specific product. I mostly use Oracle SQL and MS SQL for data preparation, for visualization I use Tableau, for testing and automation purposes I use python, and Jupyter notebooks. I want to improve my business understanding skills more, and I want to use and improve my machine learning skills.  

I have developed a python scraping script to collect data from
specific websites using the Dataiku platform, building
an ETL pipeline to transform and store data in the DWH, making a dashboard on the Tableau Desktop and Tableau Server
Position: Data analyst, data engineer, BI analyst, BI engineer, business intelligence
Category: Data Science
Experience: 5 years | English: upper


Senior Data analyst, Data engineer 2019 - 2022

Macroeconomic data analysis:

- extract macroeconomic data (gdp, cpi, ppi, fof) releases from provider web site,
- convert to custom format using Python scripts,
- check for mistakes, anomalies in data on test environment, launch appropriate reports,
- load data to platform.

Market (financial) data analysis:

- analyze structure, types of data, relations, define metadata/time series fields and measures of market datasets (export/import commodity data, ownership, equity, financial statements). 
Use SQL, Python (depends on source data).
- discuss with client results of analysis and provide it to business analysts.

Senior Analyst/Consultant, 2 years

7 years of experience in marketing research, FMCG, consumer insights, consulting. 
•	Areas of experience include CPG and Retail.
•	Participated in:
o	Forecasting projects
o	Innovation strategy
o	Business Hierarchies
o	Price&Promo
market overview, category and need states analysis, opportunity spaces prioritization, new hierarchies’ creation

Research analyst / key account manager, 6 years
•	Prepare reports and analytical presentations, present them to clients;
•	Analyze arrays of data;
•	Responsible for FMCG market analysis and reports for Top Retail Chains in Ukraine;
•	Support clients and build up partnership relationships with current and prospective customers;
•	Negotiate conditions of collaboration, provide training sessions (methodology, software); 
•	Actively use Nielsen’s software (Advisor, Answers, interpreting Nielsen data and facts);
Position: Data Analyst, Data Engineer, Database Developer, SQL developer, BI Engineer, Python Developer
Category: Data Engineer
Experience: 3 years | English: fluent


I am an Erasmus Mundus Graduate in Big Data Management and Analytics, jointly organized by TU Berlin, ULB, and ULB as a scholarship holder. The focus of the program is on Scalable Data Analytics, Advanced Databases Systems, Data Warehouse, Semantic Data Management, Cloud Computing,  Big Data Analytics, Business Intelligence, OLTP and OLAP systems, Machine learning, and Stream Data Management. In the past 18 months, I have been focusing on designing data pipelines, performing ETL jobs on Spark, applying OLTP and OLAP queries to relational and NoSQL databases, building data lakes and data warehouses on Google Cloud Platform and Amazon Web Services, evaluating the quality of classification algorithms across open-source ML systems, experimenting with novel ML testing approaches, and analyzing frequent ML bugs

My thesis topic is "On the Problem of Software Quality in ML Systems". The goal is to evaluate the quality of classification algorithms from open-source ML systems to detect ML bugs at an early stage with model pre-train tests, model post-train tests, applying data and model validations to detect concept and data drifts, and experimenting with smoke testing, metamorphic testing, and model behavioral testing to reproduce or find new bugs for image classification and NLP models. In addition, we applied popular static analysis tools to evaluate the quality of four open-source ML software repositories.

I have a bachelor's degree in In from Mekelle Univesity, where talent meets challenges. Owing to my outstanding academic performance and valuable leadership skills, I was offered the role of Assistant Lecturer and Database Developer at Adigrat University in Ethiopia. I taught Database systems, Advanced Programming with Java and Python, Data Structures, and Data Mining with Python for 3 years to about 50 students. Furthermore, I contributed to the University Registration System as a database programmer for SQL Server. Moreover, I worked as a professional Junior Software Developer at Aelaf Technologies, Ethiopia, where I worked mainly on the development of data-intensive pipelines employing relational and non-relational databases. It was a fantastic experience that allowed me to apply cutting-edge technologies to data management problems.

As I advance in my career, It is crucial for me to improve my technical and leadership skills. It is my firm belief that continuing working as a Data Engineer with your brilliant team will unleash my creative potential.
Position: Data Analyst / Data Engineer / Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Recent achievements:
• Developed an automated analytics solution via Python and Excel to predict optimal values of machine parameters. Increased the production speed of the machines by 18%
• Built a system to classify thousands of products into a few categories based on their particle-size distribution ranges. Improved decision-making process in production planning
• Analyzed thousands of products to gain insight into the most significant ones and modified their spectrum values. Obtained 8 tonnes less scrap out of 184 tonnes of production
• Conducted a statistical data analysis to determine the target throughput values of each machine. Improved troubleshooting process by enabling early recognition of non-optimal actual speeds
Position: Data Analyst, Data Entry.
Category: Data Analyst
Experience: 2 years | English: fluent

Portfolio here 

speed-ez.github.io
My name is Godspeed Okwuonu, I am a data analyst. I am a versatile individual with experience collecting, transforming, and organizing data for analysis to help make informed decisions. I have understanding of platforms for effective data analyses, including SQL, Spreadsheets, and Power BI. I have strong communication, organizational, and analytical skills. I am also in the process of learning new things like python for data analysis. 

I look forward to the opportunity to employ my knowledge, and also learn and develop.
Position: Data Analyst, Data entry, Research analyst
Category: Data Analyst
Experience: 3 years | English: fluent


Mastercard Young Africa work (MCF). I worked as Data collector and Data analyst in the project. I used Kobocollect in Data collection process, Python and R in analyzing the data and I made use of Power BI for my report writing and data Visualization. 

Research Analyst, Seven-Star Consultancy (Jan 2023 - Present)
Federal Capital Territory, Nigeria
 Write comprehensive and persuasive proposals for projects, carefully outlining the objectives, methodologies, and budgets to secure funding and support.
 Develop detailed inception reports that provide a clear roadmap for project implementation, including timelines, resource allocation, and deliverables.
 Design and create data collection tools using various platforms such as ODK, Survey Monkey, ensuring they are tailored to project requirements and data collection needs.
 Conduct training sessions for data enumerators, equipping them with proper data collection techniques, protocols, and ethical considerations to ensure high-quality data collection.
 Conduct key informant interviews, in-depth interviews, and focus group discussions to gather rich qualitative data, allowing for a deeper understanding of the research subject and capturing diverse perspectives.
 Monitor and evaluate project activities throughout the project lifecycle, tracking progress against milestones, assessing the effectiveness of interventions, and measuring the impact on target populations.
 Perform data cleaning processes to ensure the accuracy, consistency, and completeness of collected data, identifying and resolving any data quality issues that may arise.
 Utilize advanced data modeling techniques, such as regression analysis or machine learning algorithms, to uncover valuable insights and patterns within complex datasets.
Conduct rigorous data analysis using statistical methods and tools, extracting meaningful insights, and drawing evidence-based conclusions.
 Visualize data trends, patterns, and relationships through engaging and interactive dashboards using Power BI, enabling stakeholders to explore data and derive actionable insights.
 Transcribe qualitative data and conduct detailed analysis using software such as Nvivo and Atlas, identifying emerging themes, patterns, and narratives within 


I also work Healthcare Acquired Infections with Avenier Health international, I used Mwater as a data collection tools and analyse data using R and Tableau as data Visualization tools

I work with ehealth4everyone as a data analyst