lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Middle Customer Supporter
Category: Support
Experience: 1 years | English: fluent


VD Soft — 08/20/2022 — Present

• Interaction with existing customers and providing assistance with web interfaces;
• Handling complaints and issues;
• Cooperating with other departments and teams;
• Working with Google Sheets, Clouds, Jira;
• Market researching.
Position: Middle Customer Support Specialist\Engineer
Category: Support
Experience: 6 years | English: fluent

Owner of the support process, designed, documented, and implemented support process (monitoring, tickets, reporting, schedule), integrating the dev and delivery team. Designed and wrote onboarding and how-to materials. Assistant to Product Manager - app analytics via Mixpanel, reporting.

As part of a dedicated team contributed to creating and supporting an online trading\banking platform for UAE
As part of a dedicated team established a support department from scratch.

I provided customer and community support for a standalone free-to-play game on Steam, Ps4, Xbox Live\Microsoft Store.
Provided customers with accurate and up-to-date information regarding 8 mobile games (download games, technical problems with games, payment methods, etc.) 

I lived and worked in the USA, spent a few years doing NGO and volunteer jobs, and participated in international events across Europe.

Managed and supported NCR POS systems (Aloha):
Received knowledge regarding VoIP systems:
GameDev, Digital Banking, Cloud solutions, Mobile (Android/iOS)
Support process owner.
Tech skills (~L2 Support):
- ITL\ITSM-based incident management
-Ability to adapt and use the new tools
-Troubleshoot and solve software and hardware issues
-Experience with proprietary and web-based help desk tools, bug tracking tools, log parsing, and CRMs (Azure Jira, Confluence, Asana, ZenDesk, Kibana, Mixpanel, Firebase, etc)
Job-related/soft skills:
-Critical thinking
-Attention to details
-Person-oriented attitude (based on the psychological education background implemented in work with different age groups, from kids to adults)
-Communicational skills gained through work in customer service, as a translator in international events, teaching, and project managing in NGO
-Stress-resistance and problem-solving (working in innovative fast-moving NGOs in conditions of limited resources)
Quite interested in a good and healthy, non-formal team atmosphere. Prefer remote.
Disapprove of micromanagement.
Looking for a place to grow.
Position: Middle CV/ML engineer
Category: Data Science
Experience: 2 years | English: upper

For half a year, I successfully combined work with service in the Armed Forces of Ukraine.
After switching to ML field, immediately started working on separate features, assigned to me, and successfully implemented them.
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Curently fulfilling my duty at Armed Forses of Ukraine, therefore temporaly not avaliable for cooperation. 
Profile is on passive search so I can be aware of tendencies and requirements in ML/DS field and keep up with them.
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I am looking for opportunities to apply both my developer experience and new knowledge and admiration in data science / ML in practice with a good and experienced data science team.

• Strong background in statistics, probability theory, neural networks
• 1 year of commercial experience as cv/ml engineer. Full cycle development from feature idea to trained model, including research of existing models and datasets, paper research and implementation, dataset enhancement, building pipelines for model  training, testing, metrics analysis and visualization, model training and improvement.
I have worked on development of "smart" features for photo-editing software. Technologies and methods used are:
- Semantic segmentation, object detection
- GANs
- FBA-mating, filters, various enhancement methods.
- Creating custom model architectures, custom loss-functions
• 1 year of python non-commercial experience, with focus on data science and ML fields. Participated in Kaggle competitions, contributed to open-source projects with the Udemy course community.
• 7+ years of commercial experience in c# development, including building complex document management systems from scratch, supporting and adding new features over years, implementing integration with other PDM and CAD systems, developing SQL server databases. Worked both in team and as a self-dependent software engineer, engaged in communication with customers to define features details and architecture. Obtained knowledge of energetic and engineering domains.
• Master’s degree in computer science with a degree project in neural networks field.
Not gambling, microcredits, russia-affiliated business.
Position: middle data analyst
Category: Data Analyst
Experience: 2.5 years | English: intermediate

Creation of a payment calendar, which made it possible to overcome constant cash gaps at high rates of company growth (x2 per half year)
I gained the most experience in analytics while working at OTP Group as an Expert in the Controlling and Analytics Department of the Financial Directorate.
Extensive practical experience in the development and preparation of data analysis (in close cooperation with the Business Department) for various business segments of the Bank/Company;
Experience in the process of developing a business plan and a description of the Bank's/Company's business processes;
Management and organization of the budgeting process in the Bank/Company;
Analysis of the performance of the Bank/Company as a whole and KPI of employees in particular;
Compilation, processing and analysis of data arrays regarding quality indicators of credit portfolio provision (using VBA), preparation of analytical conclusions for Bank/Company management based on monitoring data;
Creation of dashboards: Cash Flow, Balance Sheet, P&L.
After finishing career at OTP, I worked as a product analyst at a manufacturing company in the light industry that sold products on the most popular e-commerce platforms such as Shopify.
I want to take part in solving non-standard tasks
Position: Middle Data Analyst
Category: Data Analyst
Experience: 2 years | English: upper


- Creating live Tableau reports
- Tableau Online administrator
- Google Cloud Engineer
- Creating pipelines to get the fresh and clean data 
- Work with databases that I created in Google Cloud (BQ)
- Creation of calculation scripts on my department tasks using data analysis python libraries (pandas, numpy, sklearn, statsmodels, etc.).
- MMM (Marketing Mix Modeling) in python 
- Adstock in MMM
- Correlation and Regression modeling in python
Position: Middle Data Analyst
Category: Data Analyst
Experience: 3 years | English: upper


In my previous work experience, I have completed several projects and tasks related to data analysis and predictive modeling. I have used various technologies to accomplish these tasks, including Tableau for report development and support, SQL for creating and maintaining queries, and Python for data mining and processing.
As part of my role in the team, I have been responsible for developing and maintaining reports on Tableau. This involved working closely with stakeholders to understand their requirements, designing visually appealing and informative reports, and ensuring data accuracy and integrity. I have also collaborated with the team to troubleshoot any issues that arose and provide support to end users.
I have utilized my SQL skills to create and optimize queries for data retrieval and analysis. This has involved working with large datasets, joining multiple tables, and performing aggregations and transformations to extract meaningful insights.
Furthermore, I have leveraged Python for data mining and processing tasks. This has included tasks such as data cleaning, feature engineering, and exploratory data analysis. I have also worked on building predictive models using machine learning algorithms to forecast future trends, identify patterns, and make data-driven predictions.
I play a crucial role in the data analysis team, collaborating with other team members and stakeholders to deliver actionable insights and drive data-based decision-making.
I am always seeking ways to enhance my skills and expand my knowledge in data analysis and predictive modeling. I aim to further deepen my understanding of advanced machine learning techniques, such as deep learning and natural language processing, to tackle more complex problems. Continuous learning and improvement are essential aspects of my professional growth, and I am committed to honing my expertise in this domain.
Position: Middle Data Analyst
Category: Data Analyst
Experience: 3 years | English: pre

1. I was the leading analyst of the team, both business and colleagues could contact me on any issues.
2. Initiated and developed a project on data auto-validation.
3. Master of mathematics and statistics (performance 92/100), did not go into science just because they pay less there.
I work in the marketing analytics department, I analyze user behavioral data on more than 500 sites (Big data, data volumes are about 90 TB). Basically my tasks were:

1. Help the company's management answer questions related to evaluating the effectiveness of search engines within the site using dashboards and reports.
2. Develop and maintain a predictive model
3. Mentor junior analysts
4. Conduct a technical review of the code of colleagues

The main technologies that I used at this job were SQL, Python, Power BI, Metabase, Jira, but this is a very narrow range of my capabilities, see the "Abilities" section for more details. I want to grow further as a data analyst of high positions, I love this job, I don’t want to change my specialization much.
I want to find a company that will appreciate my abilities. It will be cool if the processes are established in the company, but this is not necessary, I can set everything up myself :)
Position: Middle Data Analyst
Category: Data Analyst
Experience: 4 years | English: upper


Midle Data Analyst at NDA

Middle Data Analyst at NDA

Data Analyst at NDA

Middle Data Analyst at SageData
- Data analysis (Excel, T-SQL, basic Tableau, UDF func for Redshift, DAGs in Airflow for ETL models) 
- Code analysis, logic reconstruction, proposals for logic improvement 
- Dimension technics for creating models 
- Requirements development and negotiation with the client 
- Implementing analytic systems into DWH 
- Difficult queries to DWH, writing API documentation 
- Teamwork(Slack, Atlassian Jira, HIVE) 

Junior data analyst at PricewaterhouseCoopers

- Data pre-processing, testing and post-processing
- Development and verification of Design documents (contain research results and functional requirements)
- Requirements development and negotiation with the client
- Impact analysis (data analysis) for changes proposed
- Development and automation testing data analysis support
- Data analysis (Excel, SQL, statistics scripts, Alteryx, other tools)
- Code analysis, logic reconstruction, proposals for logic improvement
Position: Middle Data Analyst
Category: Data Science
Experience: 4 years | English: intermediate

- Developing and implanting regular management and operational reports from scratch;
- implanting power BI in working process of a company; 
- developing and maintaining the tools and dashboards in Power BI;
- BI system user support;
- development of reports in Power BI for visibility of results and increasing employee motivation, saving company resources;
Professional skills:
- BI reports development (preparing weekly, ad hoc reports, data visualization);
- collecting data, processing and analyzing information from multiple;
- organizing data in an easily understandable format using graphs and pivot tables to clearly communicate information;
- data structuring and preparing reports in Excel;
- creating SQL scripts;
- high analytical skills, data Analysis.

Technologies: SQL, Oracle SQL, PowerBI, Reporting Server, Google Data Studio, Google Analytics, Excel,VBA.

Last experience as Data Analyst (BI developer):
- Developing and implanting regular management and operational reports; reports for sales and marketing departments;
- implanting power BI in working process of a company; developing and maintaining the tools and dashboards in Power BI;
- collecting data, processing and analyzing information from multiple sources (inc. Bitrix24, 1C, GA, Binotel);
- developing a sales funnel for end-to-end analytics for all customers’ steps;
- creating and maintaining reports to evaluate staff performance based on quantitative and qualitative indicators;
- uploading data from different systems and developing reports on request for other departments.

Used tools: MS Power BI,  MS SQL, MS Excel (pivot tables; textual, logical and numerical formulas; using VBA; Power Pivot; Power Query), CRM Bitrix24, Google Data Studio, Google Analytics.
Position: Middle Data Analyst
Category: Data Analyst
Experience: 11 years | English: intermediate


With a career spanning 10 years in the data sector, I have worked for numerous companies within Azerbaijan. I bring to the table my advanced skills in Excel, SQL, and Python. In one of my notable roles at an insurance company, I developed a strong ability to create detailed reports using Excel and SQL. This experience gave me the opportunity to use data effectively and improve company performance. Additionally, lately I was involved in the "Mirza" NLP research project  where my responsibilities included collection, cleaning, and preprocessing of textual data for the Machine Learning models, mainly utilizing Python, which proved essential in processing. Currently, I am employed at Neurotime.ai  as a "Data Reporter", where my main tasks involve writing scripts in Python. Given my extensive experience and my strong technical skills, I am confident in my ability to succeed in the Middle Data Analyst role
Position: Middle Data Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

- Designing and conducting original analysis on topics such as the assessment of whether a physician’s stated specialty is indicative of their practice patterns.
- Developing an algorithm to detect stages of cancer therapy 
- Designing and implementing a machine learning semi-supervised model to predict the specialty of a doctor
- Writing software to fully automated Extract, Transfer, Load (ETL) processes from three possible data storage systems into a customized Google Big Query relational database
- Analyzing US healthcare data in medical conditions ranging from acne to cancer.
- Developing data visualizations including the development of automated processes such as Tableau Prep
- Gathering and implementing requirements for custom solutions for clients such as a Machine Learning system that predicts patient movement via referrals
- Handle large scale datasets
- Using and optimizing advanced analytics such as Propensity Score Matching, custom predictive modeling, Cosine Similarity Analysis, Principal Component Analysis, Patient Longitudinal Analysis, and Health and Economics Outcomes research.
- Implementing solutions for Cloud Platforms
Challenging projects that will require to learn new tools and techniques in the field of healthcare.
Position: Middle Data Analyst, Germany
Category: Data Science
Experience: 4 years | English: fluent

- Built a fraud-prevention system that helped to decrease % of chargebacks from 1% to 0.2%
- Built an own tool for A/B-tests estimation and significance calculation
- Created an alerts system for all the core metrics which significantly improved project's stability
I am a Data Analyst with 4 years of experience in product IT-companies.
- excellent knowledge of Tableau, SQL, Excel, PowerBI
- have experience with building tools for A/B-test analysis
- built fraud-prevention system
- built company-wide business-plans 
- worked with cross-functional teams
Would prefer to find a job in a product company building a meaningful product
Position: Middle Database developer
Category: SQL
Experience: 4 years | English: upper


I got 4 years of experience both as Oracle Siebel developer and business analyst, mainly in banking subject area. My main working routine consists of SQL optimisation processes, CRM development tasks, collecting and delivering business requirements to our contractor, software testing, user support in non-trivial cases. 

My job expectations are about switching into full-time coding from analytical tasks.
Position: Middle Data Endineer\SQL Developer\ReportDeveloper
Category: Data Engineer
Experience: 4 years | English: upper


My specialties include quickly learning new skills and programming languages related with data, problem solving,ETL(ELT), database optimization , design and support. So far I have SAP Crystal Report, SSRS, SSIS,ODI,
T-SQL ,Oracle SQL , PL/SQL, JIRA ,GIT(Bitbucket) under my belt. I've started learning Python(AI/ML) , Power BI, Big Data(Hadoop,Apache Spark,Scala), Apache Airflow and NoSQL(MongoDB). I'm still enthusiastically grabbing onto any other programming languages or platforms related with data or principles I can integrate into the architecture web in my head.
Position: Middle Data engineer
Category: Data Engineer
Experience: 2 years | English: upper

Implemented one process using AWS Lambas reducing runtime from 2.5+ hours to 20 minutes (in total); Helped my team to set up Pandas in AWS Lambdas reducing development time for new processes almost in half.
N-iX, full-time, 2 years, Aug 2021 - present
Data Engineer
Develop new ETL processes in AWS. Work with Apache Spark/Scala, and Pyspark implementing high-performance applications with TBs of data.
Use AWS lambdas with Python 3+ and Pandas, sometimes Java 8 for daily processing.
Also, implemented a few EC2 applications (backend-only) using Java 8 + Spring Boot.
Position: Middle Data Engineer
Category: Data Engineer
Experience: 4 years | English: upper


2 Years of DBA experience at EY, have used VBA, MSSQL, as well as RPA(Corezoid) and PowerBI.
7 month at SPS Commerce as Data Engineer. My responsibility was to maintain current pipeline using Snowflake, C#, SQL, we have used AWS as cloud provider.
8 month at SoftServe as Data Engineer. With team we have developed new pipeline for educational company using AWS, Databricks, Apache Airflow
9 month so far at 3Shape as Data Engineer, currently we are working on brand new pipeline using Azure Databricks, Kafka, Delta Lake
Position: Middle Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


Data Engineer with more than 2 year of experience. Mathematics graduate passionate about data engineering. Highly-capable leader, excellent at multitasking and analytical thinking. Proficient in a 
range of modern technologies including SQL
To work in a learning and challenging environment, utilizing my skills and knowledge to do the best of my abilities and contribute positively to my personal growth as well as the growth of the organization.
Position: Middle Data Engineer
Category: Data Engineer
Experience: 2 years | English: upper


Experienced IT professional with 4+ years in the IT industry(3+ years as a Business/System Analyst and 1.5 years as a Data Engineer)
Currently, I've worked as a Middle Big Data Software Engineer with practical experience in Databricks, AWS, Azure, Apache Spark, and Airflow.

The outsourcing company, Feb 2022 - Present
The last project: 
Fintech domain, Implementation of Databricks for the customer
Responsibilities:
- created and tested Delta Live Tables(DLT) pipelines and jobs
- performed bugfixes and improvements
- developed notebook for automatic DLT pipelines and jobs creation through Databricks API for MySQL, MariaDB, and MongoDB sources
- developed notebooks to ingest big tables(3 TB) from MariaDB source
- developed Airflow DAGs to call Databricks jobs through Airflow
- prepared configuration files for DLT pipelines
- performed data validation of Delta tables
- communicated with internal client teams to resolve issues
Position: Middle Data Engineer
Category: Data Engineer
Experience: 3 years | English: upper


I am a skilled Data Engineer with experience in collecting and processing data from various sources, building data pipelines, and developing data marts. I have a strong background in Python and its related technologies, including Pandas, Celery, and Airflow, as well as experience with SQL, Redis, Django ORM, SQLite3, and MySQL databases.

In my role as a Middle Data Engineer, I am responsible for collecting data from different sources and building data pipelines and ETL processes. I work with various technologies and tools, including Heroku, Dokku, and AWS for deployment.

In addition to my work as a Data Engineer, I also have experience as a Python/Django Developer, where I was responsible for writing backend programming in Python, developing and maintaining the website, and using Beautiful Soup for web scraping.
I am currently seeking a position that will provide me with an interesting and challenging project, where I can utilize my existing skills and learn new technologies. I am passionate about my work and am always looking for opportunities to develop as a professional and take on new challenges.
Position: Middle Data Engineer
Category: Data Engineer
Experience: 2 years | English: intermediate


I have experience in developing and maintaining an efficient process of loading data from various sources such as Apache Kafka, RabbitMQ, MySql, PostgreSQL and Oracle Database using ELT tools Oracle Data Integrator and Apache NIFI. I also have experience in writing scripts and packages according to client's requirements using Oracle PL/SQL. Additionally, I have experience supporting DWH servers and administering Gitlab, Jira, and Confluence. I designed and implemented CI/CD to automate the installation of updates in production environments. I also have practical skills in working with Google Cloud Platforms and BigQuery, and NoSql DB Redis using Oracle Data Integrator and Apache Airflow. Additionally, I have experience writing scripts and packages as per customer requirements using Oracle PL/SQL. I also have experience maintaining DWH servers and administering Gitlab, Jira and Confluence. Development and implementation of CI/CD to automate the installation of updates in production environments. I have practical skills in working with Google Cloud Platforms and BigQuery, and NoSql DB Redis.
Position: Middle Data Engineer
Category: Data Engineer
Experience: 1.5 years | English: upper

•	AWS Certified Cloud Practitioner
•	Databricks Certified Data Engineer Associate
•	Microsoft Azure: Fundamentals
ISP/Media & Entertainment domain
Stack of technologies: Python, GCP (BigQuery, Storage), SQL, Jenkins, Apache Nifi, Terraform, Bitbucket, Jira
I created resources on the Google Cloud using Terraform, optimized queries, and configured the process of loading data from sources into a table.

E-commerce domain
Stack of technologies: Python, Spark, Spark Streaming, Spark SQL, SQL, GCP (BigQuery, Composer,Storage), Databricks, Airflow, Git, Jira.
My responsibilities included connecting new data sources to our system. Creating, documenting and testing pipelines. Refactoring code, investigating and debugging issues. Creating various queries (identify issues, resolve them, and create datasets for reports). I was also involved in the creation of jobs (by pyspark or SQL) to improve cleaning, data transformation or data loading. I was working with big international team.

Rental Domain
Stack of technologies: Scala, Spark, Kafka, Cassandra, ELK stack, Airflow, Docker, Azure, Git, Jira.
Created adaptable and efficient data visualization pipelines to aid businesses with management, and was involved in every phase of the project's development. Collaborating with a team consisting of 9 developers, 1 Scrum master, and 1 lead, I utilized a variety of technologies throughout the process.