lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data annotation
Category: Support
Experience: 3 years | English: fluent


Quality Control of Customer Support Department 
- supervising the quality of the customer support;
- managing CSRs;
- streamlining and organising the workflow;
- compiling the Knowledge base;
- employee training;
- resolving disputes; 
- managing Customer Care email;
- troubleshooting the CRM;
CSR
- phone, text, email communication with customers;
- consulting about company's services and policies;
- managing CRM;
- dispatching technicians;
- resolving issues;
Lead generation,  sales
Position: Data Annotation
Category: Other
Experience: 2 years | English: intermediate


1) AI/ML Data Annotation Engineer at GlobalLogic (Dec 2021 - Present)
Job description : Creating datasets for ML with the usage of customers CMS and Cloud Storage as well as validating and labeling elements of data (images, videos and other) by adding contextual information. Installing and configuring virtual environments, also using Linux terminal on daily basis, as well as existing Python scripts. Testing annotation tools. Skilled in model analysis and result comparison, which helps me to evaluate and interpret various models effectively. 
2) Customer service manager at PrivatBank (Sep 2017 - Apr 2019)
Attracting customers for credit cards, deposits and payments, current customer service when the client applies to the bank's branches.
3) Assistant Accountant in  "KOLOS" (May 2021 - Nov 2021)
Reception and control of primary documentation on the relevant areas of accounting and prepares them for accounting,
execution of orders of the chief accountant, separate instructions of the direct head.
Position: Data Annotation Specialist
Category: Other
Experience: 4 years | English: fluent


Have Bachelor's Degree in Computer Science
Have 4+ years of experience in Data Annotation for AI/ML models. Did different kinds of data annotations: image(bounding box, polygons, segmentation), video, audio, text(topic level segmentation, entity annotation).  Used different dedicated software such as CVAT, Label Studio, VGG, Audacity... 
Have commercial experience as well as working on Freelance
Fluent in English, basic French
Quick learner, fast worker, detail oriented
Position: Data Annotation Specialist
Category: Other
Experience: 2 years | English: fluent

Philosys label editor; 
Label Editor;
Zendesk;
Jira;
3D modeling softwares;
RDC,Microsoft Excel, Google docs;
-Labeling, tagging, categorising and validating the data the machines learning from
-Conducted text analysis and assigned them to specific categories based on their content
-Identifying road objects and annotating them according to specified requirements
-Using software tools to annotate digital image files, to ultimately
enhance the visual learning of artificial intelligence systems
-Maintained productive relationships with vendors
-Experience in eCommerce (Amazon)
-Responding to customer emails to resolve problems such as wrong orders, delivery issues, payments, refunds etc.
-Ability to manage multiple, fast-moving projects at a given time
-Attention to detail, strong organization, and client-service orientation skills
Position: Data annotator
Category: Data Science
Experience: 1 years | English: intermediate


Data Anotator
 Label your  data| December 2020 to present 
Labeling videos using special markup tools;
Recognize and tag required objects with high accuracy according to the rules of the task;
Set the required attributes for video and objects;
Analyze videos and appoint them to certain categories;
Report specific markup/annotation via Google Sheets.

Sales Manager
Bodo | January 2020 - December 2020
Identified the buyer's requirements
Present gifts-impressions
Design and issue gifts
Position: Data annotator
Category: Other
Experience: 0.5 years | English: upper

I have completed dozens of courses on machine learning and data science topics on Coursera. Therefore, I have solid theoretical knowledge of AI principles. I can provide all certificates by request.
I have taken part in two short-term projects as Data annotator. The first was about labelling words in scientific abstracts. The second consisted of labelling semantic connections between words in sentences. In both projects I have demonstrated high performance.
Position: Data Annotator
Category: Data Engineer
Experience: 3 years | English: upper


1. Training neural networks of smart doorbells and surveillance cameras based on the received materials.
2. Testing and processing neural networks algorithms; Working with a proprietary, constantly improving product.
3. Working with Label Studio, MySQL, Docker, Jira, Confluence.
Since 09.2022 (additional duties):
4. Collecting data from smart devices for further neural networks processings.
5. Testing smart doorbells hardware at studios.
6. Writing and analysing test documentation.
Position: Data Annotator
Category: Other
Experience: 1 years | English: upper


Daedalean - Data Annotator  1 years.
( June 2022-August 2023)
-runway annotation, 
-performance analysis, 
-data server review and runway annotation based on data.                                           ....
Position: Data Annotator
Category: Data Science
Experience: 2 years | English: intermediate


Hi, I am looking for new opportunity as Data Annotator. I have knowledge Agile methodology, familiar with confluence, Jira, Google services. Understand SDLC - Software development lifecycle.
Position: Data Annotator
Category: Support
Experience: 2 years | English: upper


- I have experience in the field of service - a hostess, and therefore I have good communication skills. 
- Also has experience of working in SupportYourApp and LabelYourData for 2 years.
- Quite stress-resistant.
- I quickly learn new things.
Position: Data Annotator
Category: Data Science
Experience: 1 years | English: upper


I'm looking for new opportunities in IT as Data Annotator. Previous experience relevant to this role - 1 year. 

Skills: 
- Data analysis
- Complex text and audio labeling
- Conversational AI
- Text classification
- Lavel Studio
- Sentiment analysis
- Critical thinking
Data labeling for audio, texts and transcripts
Position: Data Annotator
Category: Other
Experience: 2 years | English: intermediate


labeling of visual and audio data by clients' note-takers, 
learning unique programs for labeling,
checking the data labeling of other annotators,
work with more than 12 different projects,
I can quickly adapt to new programs, 
I can teach people how to label data.

training the Bing search system to find the correct answers to user queries 
work with the human factor in the search for information by artificial intelligence, validation of information
Position: Data Annotator
Category: Data Engineer
Experience: 1 years | English: intermediate


One year experience in computer vision machine learning as a video annotator. 
Familiar with bounding boxes, interpolation, key frames.

Can do image or video annotation both.

Please feel free to contact me any time.
Position: Data Annotator
Category: Data Science
Experience: 1 years | English: intermediate


SupportYourApp 
Labelling text on infosec topics using special markup tools;
Recognize and tag required objects with high accuracy according to the rules of the task;
Analyze text and appoint them to certain categories;
Position: DATA  ANNOTATOR
Category: Other
Experience: 3 years | English: intermediate


Labeling, tagging, categorising and validating the data the machines learning from
Conducted text analysis and assigned them to specific categories based on their content
Identifying road objects and annotating them according to specified requirements
Using software tools to annotate digital image files, to ultimately enhance the visual learning of artificial intelligence systems
Long-term cooperation
Position: Data Annotator, Analyst, other (can be discussed; please see below)
Category: Other
Experience: 11 years | English: upper

Several successful projects for famous clients. A top contributor in some ones. Honest, responsible, with analytical mindset, attention to details and high self-motivation.
20 years in IT working in different roles (Tester, Test Manager, Thunderhead Developer, QA Analyst, Process Coordinator, RPA Testing Engineer, Manual Data Labeler, Data Analyst, etc.) Small and large (up to 250 people) short-term and long-term (up to 5.5 years) projects in different domains (finance, insurance, shop floor production, quality control, etc.) More than 6 years in different Ukrainian banks.
I am looking for any job that will not assume a lot of meetings, environments, tools and other things that make you crazy. I would prefer something like a labelling work – you receive instructions and stuff to be labelled, label the stuff with high quality and report. Your manager is happy, you are happy as well.
I do not say it is the only work that can be done by me, but the idea behind is that I prefer to use my knowledge and talents instead being in rush and stress. I would also perform non-standard or routine activities that requires knowledge, experience or/and analysis and often is not popular among IT guys. In case such activities require training, this is not an issue.
Position: Data Annotator, Data Processor
Category: Other
Experience: 4 years | English: upper

Good specialist with great corporate experience with colleagues and corporate clients. Successful implementation of leadership and personal qualities for the company's own development.
I am a data annotation and data processing specialist with 3+ years of expertise. Highly skilled in creating accurate and efficient large-sale annotated datasets for complex projects with text and image data, even under tight deadlines.
- Labelling texts, documents and images using special markup tools
- Recognize and tag required details with high accuracy according to the rules of the task
- Analyze text, data and appoint it to certain categories
- Data collection
- Evaluated source documents to locate needed information.
- Analyzed current data records to provide detailed reports.
I am excited to be come part of a promising project that will help further develop my skills, and eventually allow me to advance into a senior specialist role or a similar position.
Position: Data Annotator, Junior QA, Junior Project Manager
Category: QA
Experience: 1.5 years | English: upper


I work as a Data annotation specialist for a year and a half and have experience in analysing images and text data. I used to work as a Program manager in an educational startup. I have completed QA courses.
Position: Data annotator, junior technical writer
Category: Other
Experience: 0.5 years | English: fluent


I am currently working as a data annotator for the AI-driven sales execution platform. My main responsibilities are complex text and audio labeling both in English and German. Experience with annotation tools : Label Studio. 
My role has been extended to being a Designer Trainee whose main assignment is document design. I created guidelines within projects for annotation of emails and sales meetings.
Languages : 
English - C1 (10 year experience of teaching at school and teaching business English in different companies).
German - B1.
I want to obtain a position as a data annotator or junior technical writer.
Position: Data Annotator / Labeler/Image annotation
Category: Other
Experience: 5 years | English: intermediate


- Data annotator for sentiment analysis and NER (named 
 entity recognition) at Neticle
- Professional Hungarian language translation.
- Experienced in Hungarian - Ukrainian translation. I am a native speaker of Hungarian and speak it every day. Understanding the peculiarities of the Hungarian mentality. That will help me in my future position.
Position: data architect
Category: Python
Experience: 3 years | English: upper


As a data engineer/architect with three years of experience, I have been responsible for the design, development, and maintenance of various data-driven solutions for clients across industries. Over the years, I have completed several projects that have involved the extraction, transformation, and loading of large volumes of data from various sources into data warehouses and data lakes. I have also been involved in the creation of efficient ETL pipelines, data modeling, and schema design.

Throughout my career, I have worked with a variety of technologies including SQL, Python, GCP, airflow, Terraform, Hadoop, Spark, and Kafka. I have also developed expertise in data visualization tools such as Tableau and Power BI, which have enabled me to create meaningful insights from complex data.

As a current member of the team, I am responsible for leading the development and delivery of  data projects while working collaboratively with cross-functional teams. I am also tasked with ensuring that the solutions we deliver are scalable, reliable, and secure.

Moving forward, I aim to improve my skills in data modeling and architecture, as well as expand my knowledge of cloud-based technologies such as AWS and Azure. I am also eager to explore the latest tools and technologies in the field, to stay ahead of the curve and to continue delivering high-quality data-driven solutions.
Position: Data architect
Category: Data Science
Experience: 11 years | English: intermediate

Data science products implementations which differentiate business on the market, product design, solution design, market research and competitors analysis. Research and development within project domain area which got a patent.
product design, data science / machine learning, data architecture, computer vision / image recognition, nlp, statistics modelling, event processing, datawarehouse, business intelligence, data processing, R, Python (caffe, keras, scientific stack), Java, ELK, MongoDB, SAS, Oracle, MySQL, SQL, Talend, Pentaho, ETL, Qlikview, Tableau, Infobright, Business Objects, IBM Cognos, Oracle, AWS, Ansible, Docker.
Position: Data Architect
Category: Lead
Experience: 11 years | English: upper

AWS.18Tb of data, 1.2 b of entries daily, random request from API under 100 ms, 195 k request per minute, infrastructure costs - <15k USD monthly. SOC2 Passed. 

6 months to beta, 9 full go-lives.
11 years working with data.

Started carrier in banking, from intern up to C-2 level, risk ( portfolio, PD, LGD), and corporate business.  

Currently working on high load projects as a data architect, main responsibilities - full cycle of projects implementation. 
Starting from negotiations with clients, up to final delivery, including tech team-leading and troubleshooting. 

Managing teams of DevOps, data engineers, ML specialists, and Python developers.
Position: Data Architect
Category: Lead
Experience: 11 years | English: upper

- Define data and integration strategy
- Define main reporting and analytical processes
- Define roadmap, architecture and development of the Enterprise-wide Data Hub
- Design integration pipelines architecture
- Design architecture
- Design CI/CD pipeline architecture
- Define development standards, methodologies and best practices
Data and Business Intelligence Architect with 20+ years experience.
Main interests and responsibilities are:
- Define data and integration strategy
- Define main reporting and analytical processes
- Define roadmap, architecture and development of the Enterprise-wide Data Hub
- Design integration pipelines architecture
- Design architecture
- Design CI/CD pipeline architecture
- Define development standards, methodologies and best practices

Hands-on development experience
-
Position: Data Architect
Category: Data Engineer
Experience: 11 years | English: fluent


Experienced data engineer/ data architect / system analyst.

Latest projects:
- Migration from Vertica to Snowflake
- Analytical system for Fund management company
- Data Warehouse for Investment bank (system connected with 100+ different ERP up to 20 bln transactions per month, 20 years of data collected)
- CRM integrations (financial companies with up to 20 mln of clients)
- E-commerce  analytics project (small startup spending 500KUSD per month in ads).
- Risks analytics for top 10 bank in Ukraine.

Technologies used tools:
- Databases: Snowflake/Oracle / Postgres / Clickhouse/ DuckDB/ MS SQL
- BI tools: Cognos, SAP business objects, Qlik Sense, Power BI, GoodData
- Python
- Linux
- Azure/ AWS
- CASE tools (Enterprise Architect, Power Designer)
- ETL: Matillion, DBT, Airbyte

Other: 
- Jira, Confluence, HP ALM, Gsnow, Mantis etc
- Agile / Waterfall
- Apache Airflow

Recent certifications:
- Microsoft Certified: Azure Fundamentals
- Microsoft Certified: Azure Data Fundamentals
- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Developer Associate
- Microsoft Certified: Azure Solutions Architect Expert
Interests:
-High load 
-Analytics/ Data driven projects / Big data
-Healthcare, Advertising, Machine Learning
Position: Data Architect
Category: Data Engineer
Experience: 11 years | English: fluent


Leading data engineering teams on long-term projects.
Design and implement short-term PoC projects.
Delivering workshops and consulting around GCP data solutions.
Act as a pre-sales engineer for new leads. 
Technical discovery for potential customers.
Position: Data Architect
Category: Lead
Experience: 11 years | English: fluent

Successfully completed multiple projects. Build engineering teams, setup development and delivery processes. Lead large distributed teams (20+).
Over 15 years of experience in the design, architecture, development and maintenance of software
systems. Deep understanding of designing data warehouses, as well as transactional systems. Experience in the system integration architectures. Proven ability to analyze existing systems, business/technical requirements, design and implement data solutions. Project management expertise including problem resolution, planning, scheduling and achieving end-item objectives. Experience working in Agile development environment.
I will be responsible for product, have interesting challenges,  contribute to business value and see the results provided to the real users.
Position: Data Architect
Category: Java
Experience: 8 years | English: fluent


While having strong tech expertise in Java, Big Data, Cloud for 8+ years connected with excellent leadership skills, I'm extremely focused on project delivery along with providing the best quality services to our customers.
I have experience in the successful delivery of products in different domains like Security Analytics, Healthcare, Food delivery, Automation testing tools, Email Analytics and others. I have an expert level in Software Development methodologies and frameworks including Agile, SCRUM, Kanban, Lean startup, RUP.
I'm the one who can drive the project of any size from idea to production based on the client's expectations and needs.
Looking for interesting Big Data projects and career challenges.
Interested in Data Architect position only.
Position: Data architect BI architect Infrastructure architect Security architect Project manager Marketing manager DBA DevOps
Category: SQL
Experience: 11 years | English: fluent

dozens of enterprise class projects
Linux, AIX, Solaris, Windows Server 2k

MySQL, MS SQL Server, Oracle Database 7.3 - 12c, 
SQL, PL/SQL

AWS, docker, ansible

Big Data (Hadoop, Cassandra...performance tuning)

Firewalls(Checkpoint, Watchguard,Cisco), , IDS, antivirus software, crypto algoritms, secutity standards (ISO 17799, ISO 27001), enterprise security policies.

Oracle, HP, IBM, Dell, Cisco, Intel hardware (servers, storages, networkong, engineered systems..) and software, enterprise decisions.

Project management
Agile (Scrum)

Banking technologies, payment systems

IoT

IT Marketing
career development, complex tasks, challenges, more posibilities for creativity, improving and development  performance, architecture, security of enterprise systems.
Position: Data Architect, Cloud, DWH/ETL
Category: SQL
Experience: 8 years | English: fluent


Datawarehouse Architecture
ETL tools - Talend, ODI, AWS Glue etc.
Oracle development/DBA experience 
Unix enviroment
Cloud solutions (AWS) 
Amazon RDS, Redshift, EMR, NoSQL
REST API, Java
BI tools - Tableau, SAP Crystal Reports
Other DBMS/tools/frameworks - MSSQL/Postgres/Hadoop/impala
High salary, large scale projects, fun colleagues (no
boring geeks please!)
Position: Data Architect / Consultant
Category: Data Engineer
Experience: 11 years | English: upper

• Gathering and documenting requirements from scratch (create BRD)
• Build architecture with two different Cloud DWHs (Redshift vs Snowflake) for comparison
• Provide document PoC results with feature/pros/cons/cost comparisons
• Build dev team, interview candidates
• Create a backlog, assign user stories, define features SLAs
• Resolve issues with architecture approach
• Communicate with stakeholders
• Create cases for AWS Services and communicate with Premium Support
I have over 10 years of experience in the IT industry. Participated in multiple projects of
various sizes and complexity. Have strong experience in different Data Engineering
directions including Reporting, ETL/ELT (Talend, SSIS), databases(SQL Server, PostgreSQL,
Oracle), and Cloud Services (AWS & Snowflake). Experience in the architecture and
implementation of DWH and Lakehouse solutions in AWS Cloud.
Key achievements/responsibilities:
- Building solutions from scratch.
- Migration of on-prem systems into Cloud-based data platforms.
- Redesigning/improving existing architectures.
- Creating BRD and transforming it into architectural design.
- PoC creation with tech stack comparison.
- Team Lead of different team sizes (2 - 10 members)
I'm not looking for low level coding job.
My passion is to architect and orchestrate data pipeline, build teams, define priorities.
Position: Data Architect/Data Engenier/Delivery manager
Category: Lead
Experience: 10 years | English: upper

Developed an MVP and successful lounch to production for a fintech product/marketplace for online corporate data exchange. Tech stack: ASP .Net, MS SQL, GoLang,  
Development of a corporate system for scoring analysis. Technical stack: Python, MS SQL
Creation from scratch and support of IT infrastructure for a company of 150+ people
For all my professional experience, I have always been satisfied with working with data
and the desire to understand and develop new schemes/data processing for the business
to profit more from data.
I am not afraid of responsibility and ready to build products from scratch, but also prepared
to learn and gain experience from experienced mentors and team leads.
For more than 10 years of professional activity, she managed to build a fintech data
exchange platform for the African market, raise IT infrastructure for a small company in an
East Asian country and create many reports for banks and companies. All this allows me
to navigate the needs of the business quickly and quickly offer solutions for them.
Position: Data Architect, DWH Designer and Implementer, Oracle diagnostics and performance tuning specialist
Category: SQL
Experience: 11 years | English: intermediate

Experience:
- 16 years as Oracle developer,
- 5 years as Data Architect
Specializations:
- Core Banking,
- Investment Banking,
- Electronic Payments,
- Finances,
- DWH based on IBM BDW model
Software languages: SQL, PL/SQL, C++, precompiler Pro*C/C++.
IDE/Tools: SQL*Plus, SQL Developer, TOAD, TKProf, Jira, Subversion.
Databases: Oracle Database EE, RAC, versions 9.2, 10.2, 11.1, 11.2
Technologies: Partitioning, Materialized views, External C/C++ procedures, Java stored procedures, Distributed transactions, Oracle VPD, Oracle AQ, Oracle Streams, Oracle XML DB, Oracle Text, AWR, RMAN, Original Exp/Imp, DataPump.