lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Staff/Lead Data Scientist
Category: Data Science
Experience: 6 years | English: fluent

- Implemented a highly accurate predictive system for user targeting and segmentation (the system have been achieving all the financial goals for two years)

- Created data-product development standards and procedures that optimized product development time by 3 to 4 times and increased efficiency of ML models by up to 20 times.

- Managed to streamline the workflow at my department by automating over 20 data pipelines using the Apache Airflow system.

- Created a semantic analysis project classifying users' problems into different categories via NLP methods (86% f1-weighted score with 10 classes)

- Built over 20 data products and machine learning models using technologies, like:
Databases: Postgres, Oracle, Clickhouse, Mongo.
ML Models: classification and regression models of scikit-learn, XGboost, LightGBM, Catboost, H20.
API: Flask
Automatization: Docker and Apache Airflow.
Currently leading and managing Data Science department, where my responsibilities include product planning and development, close collaboration with business teams as well as managing and orienting a team of 4 data scientists.

Previously have implemented a variety of successful projects, such as:

- building a highly accurate predictive system for user targeting and segmentation;
- automating over 20 data pipelines using the Apache Airflow system;
- creating a semantic analysis project classifying users' problems to different categories via NLP methods;

Besides mentioned projects, have ample experience with such predictive systems as interest, income, profession, Sim card hierarchy, churn, age, gender and upsell predictions as well as data products like scoring for banks, geo-products (home-work and weekday-weekend geolocation) and look-a-like models for different services.

Some of my other notable projects include developing data-product development standards and procedures that optimized product development time by 300% and increased the efficiency of ML models in my department by up to 20 times.

Currently am looking for a Staff/Lead Data Scientist position with riveting and challenging tasks, where I'll be able to both share and use my experience as well as learn something new for myself.
A work environment that encourages professional growth and would enable me to build new skills in my field. In particular, I would be interested in trying projects from the fields of Computer Vision and Reinforcement Learning.
Position: Staff / Lead Machine Learning Engineer
Category: Data Science
Experience: 8 years | English: fluent

* Top 5% in > 5 Kaggle competitions, both solo and as a team over a wide range of tasks (Computer Vision, Natural language processing, tabular data)
Machine Learning Engineer with experience in both classic ML and DL. Implemented and deployed projects for NLP (sentiment analysis, customers' reviews classification), DL (user behaiviour prediction for Ads), DL & CV (text detection and recognition, different image classification).
Kaggle Expert (best rating - top 300)
Flexible schedule, async communication.
Position: Staff-level Software Engineer
Category: Python
Experience: 11 years | English: upper


I only accept offers from product companies. Thanks for understanding

I have extensive experience in programming using technologies such as Python, Django, React, and Kubernetes. I have worked on a variety of software development projects, playing a key role in the development and debugging of software code.

In my most recent project, I developed a high-level platform for container management using Kubernetes and Docker, where my role involved developing a web interface and API for managing containers.

I also have experience in developing data collection and monitoring systems using Python and Elasticsearch, and in my current project, I am responsible for developing microservices using Django and React, including analysis of software requirements, system architecture design, and software development.

I am always looking to improve my skills and explore new areas of development. In the future, I am interested in exploring the use of artificial intelligence in software development and expanding my knowledge in this field.
Position: Staff Machine Learning Engineer
Category: Data Science
Experience: 11 years | English: fluent

• Lead of Observability & Reliability for cloud infrastructure of AutoTS
• Manager of the scoring code team, translating AutoTS models into Java
• Core developer and lead of segmented modeling project
• Lead and developer of Unsupervised modeling for Time Series
• Data Quality checks for multi-series data
• Implementation of production analytics for modeling accuracy of AutoTS
In DataRobot I was a part of the team developing the core of the Automated Time Series: a new product which the company has started in 2018. This involved implementation of automated Time Series pipelines generation, Time Series insights, production analytics tools, etc.

I got a promotion to Staff Machine Learning Engineer for the merits of successful team leadership in both technical and people aspects. I have been directly involved in getting up to speed with several important Time Series product features, along with re-organizing the team and raising the quality standards.

During this period I have mentored several just-out-of-college interns, who have now become successful engineers in DataRobot. I have experience of technical leadership and people/project management for teams of from 2 to 12 engineers.
I am not looking for work in outsourcing companies. I had the utmost success contributing to a product company, and I would like to continue working directly with product owners.
Position: Staff QA Automation Engineer
Category: QA Automation
Experience: 2 years | English: intermediate

For the 2 last years I have grown from junior QA automation engineer to QA Team Lead of automation in testing
Main direction: Automation of testing 

Programming languages: Java, Ruby, Python
BDD frameworks: JBehave(Java), Cucumber(Java, Ruby), Behave(Python)
Frameworks for unit tests: JUnit, RSpec 
UI testing frameworks: Selenium WebDriver(on Java or Ruby)
Database management systems: Microsoft SQL Server, Oracle DB, SQLite, MySQL (writing of SQL queries competent level)
Markup languages: HTML(CSS), Json, XML(XSD, xPath)
Web services: REST API, SOAP
OSs: Mas OS, Linux, Windows
Agile methodologies of development: Scrum, Kanban
Others: I have mentor's and QA team leading experience
Agreeable management, exciting projects, flexible schedule and high salary.
I don't want to do manual testing, I just want grow as automation QA engineer.
Position: Staff QA Engineer, Automation QA Engineer
Category: QA Automation
Experience: 7 years | English: upper

Building a QA team from scratch.
Implementing QA process for web, mobile, and console apps in the companies using Agile, Kanban, and 'Shape-up' development approaches.
Setting up web automation in a few products from scratch (Cypress + Percy + GitHub actions).
Strong experience in test automation for apps using ReactJS, Gatsby, GraphQL, REST

UI testing: Cypress, Playwright, Webdriver.io
API testing: Cypress, Postman, Insomnia
CI/CD: GitHub actions, Jenkins, Travis
Programming languages: Javascript, TypeScript
Monitoring tools: Newrelic, Sentry
Scripting: Bash
Databases: PostgreSQL, MySQL
Test management tool: Jira, Confluence, Redmine, Qase
WEB: HTML / CSS, HTTP, XPath, 
Proxy: Charles Proxy
Test documentation: Test Suite, Test Case, Bug Report, Test Plan
Methodologies: Shape up/Scrum/Kanban

In my previous roles, I have been responsible for a wide range of tasks, including:
- selecting test automation frameworks;
- identifying test requirements based on business needs;
- writing all kinds of test documentation;
- developing and supporting automated tests for web applications;
- conducting regression, performance, smoke, integration, and acceptance  testing;
- leading a QA team, including interviewing and mentoring new hires, creating onboarding plans, and supporting team members, conducting regular 1-1 and providing a feedback;
- setting and tracking project quality KPIs;
- contribute to general company quality assurance process.
Position: Staff Software Engineer
Category: Java
Experience: 9 years | English: fluent

- 3 software engineers I mentored doubled their salaries within 2 year period
- successfully introduced culture changes in teams and organisations
- turned a crysis with angry and frustrated stakeholder into a roadmap that eventually resolved the crysis
- reproduced and fixed a bug that has been torturing a team of experienced engineers and bussiness for 2 years
- hired engineers that have better hard/soft skills than myself
- used visualisation techniques to explain incidents to stackeholders and team plans to handle them
I have solid experince in AdTech domain. However it was not my goal, it just happened organically. I can be sucessful in any domain, given that it is interesting for me. For example, I had experience building pricing engine for big retails. Very complex, but also rewarding experience.
- if you just need someone to do what you say without questions, I'm not a good fit for you
- if you can not give me enough autonomy and trust, it's unlikely I can help you reach your goals
- if my team is not able to affect and be aware of business decisions and strategy, I'll leave pretty quickly (because that's what's driving me)
Position: Staff Software Engineer
Category: Java
Experience: 6 years | English: fluent

• 6+ years of commercial experience using Java;
• Official Spring Security contributor;
• Lead/Mandatory code reviewer;
• Technical expert, mentor, lecturer;
• Strong understanding of algorithms and OOP principles;
• Strong knowledge of Java Core;
• Pro-active position to work in the projects with Agile mindset.
Software maintenance and development of medium/large enterprise systems. 
Solution architecture. Architecture/Security review. Creation of reusable 
utilities, libraries and scripts. Mentoring. Communication with the customer. 
Participating in demos/lectures. Head of CDP improvements initiative.
Successfully delivered multiple projects as a tech lead.
Should be an interesting project with up-to-date technologies being used. Company should offer possibilities to grow and competitive salary.
Position: Staff Software Engineer in Test
Category: QA Automation
Experience: 10 years | English: fluent


- Built effective test automation infrastructure for a big SV company (4000+ employees)
- Took all-in ownership of leading development of multiple test services (test resources supplier, deploy gating, test runners etc)
- Designed frameworks for mobile apps testing on both local VMs and remote device farms (iOS and Android)
Position: Staff Software Engineer / Tech Lead
Category: Java
Experience: 7 years | English: upper

Designed and deployed solutions using Spring Cloud, K8S, Terraform, and AWS (EC2, EKS, ECS, S3, SNS, SQS, DynamoDB, etc.)
Leading a team of developers
SRE (Site Reliability Engineer)
Implemented various integration projects
Performing code reviews with the team
Collaborate with team to ensure proper infrastructure development
Determined software engineer with an M.S. in Computer Science and 7+ years of professional experience. Design and develop cloud-based scalable, reliable, and maintainable solutions. Provide guidance and leadership for the application development team.
Leading a team of developers.
Java 17
Spring stack
Cloud
Position: Staff UI/UX Product Designer / Head of Design
Category: Design
Experience: 11 years | English: fluent

• Run expiriance for 150M active users
• Lead designer for the world's #1 financial services company.
• Head of design at the #1 taxi app in New York (went from 4.1stars to 4.8 stars, 70K ratings on App Store)
• Lead design for North America's leading fitness software provider.
Accomplished  Product Designer with 12+ years of experience and a Master's in Design. Proven track record of driving growth and user satisfaction in diverse industries, including fintech, adtech, transportation, enterprise, and tax management.


Team Leadership: Managed design teams of 2-10 members for 5 years, fostering collaboration, skill development, and user-centricity.
Revenue Growth: Pioneered a vision for a Shopping Feed on Klarna's app homepage, a platform with over 150 million active users, resulting in 19% year-over-year revenue growth.
Design Strategy: Crafted and executed a comprehensive design strategy for a 9-product ecosystem in the transportation industry, elevating ratings from 4.1 to 4.8 stars and amassing 70K ratings on the App Store.
Design Maturity: Implemented tools and techniques to transform design processes from Absent to Integrated level, fostering data-driven design decisions, qualitative and quantitative research, and accessibility.
Innovative Solutions: Led the strategic direction for the creation of a self-service Ads management tool, empowering 500,000 merchants to generate personalized ads at scale.
I'm dedicated to driving user-centric design and product success through strategic thinking,  excellent visual and problem-solving skills.
Product company. Challenging tasks. Minded team.

Prefer working with the US or European markets.
Position: Starburst/Trino/Presto Solutions Architect
Category: Lead
Experience: 11 years | English: fluent

1xCertified in Starburst tech stack:
- Starburst Certified Practitioner

3xCertified in AWS tech stack:
- AWS Solution Architect Associate
- AWS Data Analytics -  Speciality
- AWS Database -  Speciality.
Spent 2+ years as a Solutions Architect at Starburst. Have deep hands-on experience in deploying, integrating and optimising Starburst/Trino clusters in all flavours of deployment (K8s, Docker, Starburst Admin, CFT, VMs, Manual).

Helped 10+ customers with the most complex data landscapes (FORTUNE 500 enterprises) to adopt Starburst/Trino query engine, design security, HA, CICD, optimal usage patterns, connect necessary client tools and datasources, develop UDFs and successfully pushed their use cases into production.
 
Technologies: Starburst, Kubernetes, Helm, Ansible, Docker, Ranger, Immuta, HMS, AWS (EKS, ELB, IAM, EC2, EMR, AMI, RDS, CFT, Route53, S3, Glue, Networking), GCP (GKE, IAM, GCS, BQ).
Starburst/Trino/Presto Solution Architect role, part-time, remote.
Not looking for any permanent roles, just a part-time freelance engagements in my unique area of expertise.
Position: Startup CTO, Head of Engineering
Category: Lead
Experience: 11 years | English: upper

More than 5 startups I worked for closed the C round/were acquired/generated millions in revenue 

TOP 100 Ruby on Rails contributor, also contributed to more than 10 open source projects

Led a distributed remote team of 35+ members in 5 timezones, increased productivity to 2.5x
Technical Advisor and Consultant, helps startups to beat struggles in development.

I onboard Continuous Delivery, grow the team and set up collaboration between team members and departments. 

Organize self-managed and cross-functional teams to work towards product growth goals.

Besides processes, help with system design, technical solution architecting, and growing technical skills for new developers.

Do opensource contributing to projects like Ruby on Rails and Bundler.

Write a blog with guides for developers and startup founders on how to increase development effectivness.
Startup Culture, Transparency, Remote, Kanban, Kaizen.
Position: startup head of strategy
Category: Lead
Experience: 2 years | English: fluent

- top-10 mathematician in Ukraine
- top-1 consultant at Civitta
- management consultant / project manager at Civitta, Roland Berger Strategy Consultants

- developed growth / pricing / market entry strategies for leading EU companies
- startup, already launched the product, seeking for new growth opportunities

- team of experienced developers
Position: StartUP owner, Product manager, Project manager
Category: Product Manager
Experience: 3 years | English: intermediate

CEO and co-founder of IoT startup! Have built IoT platform from scratch which concurrently collects data from thousands of various devices and providing convenient API for our customers. Over time there were integrated over 8000 devices (over 2500 flats at 26 living buildings). Achieved this system being most desired system in its class in Odessa.
Currently I am working CEO in Startup where we developed IoT platform/cloud for different devices and equipments (BMS, Smart home). I organized startup 2 years ago, and now it used in big building company like Budova, Stikon, Materik in Odessa. Now in our platform counted about: 8500+ energy meters, 1500+ temperature sensors and we get data from all device in real time.

My knowledge:
- engineering and techniques in different branches (heat/cold/automatization/IoT)
- network (basic knowledge about network, vpn, vps)
- calculation cash flow and budgets
- analysis market
- basic knowledge Java and DB (SQL)
- formation backlog
- customer development
- users segmentation
- AutoCAD, Inventor
- Hotjar
- Google analytics

My duties in startup:
•	communication with users and orders
•	recruitment (engineers, designers, installers)
•	calculation cashflow
•	add features in system and product
•	add tasks and prioritized them in backlog
•	communication between different teams
•	UI/UX 
•	select and order equipment in Europe and Chine
•	communication with manufacturing plants of equipment in case of problem
Looking for middle manager position in product company. Would prefer to work in company that welcomes the ambition and growth up employees.
Position: Statistical Pogrammer/Analyst
Category: Data Science
Experience: 1.5 years | English: intermediate

Ph.D. degree in Biology.
Kaggle master and double expert.
Experienced with machine learning algorithms (for regression, classification, and clustering), computer vision architectures. Familiar with NLP models. Well-versed in Python and R programming languages, and SQL. Strong background in scientific experiment management and statistics. Ph.D. degree in Biology. Teaching experience in higher education. Kaggle master and double expert.

Projects:
- "PlantStat package developing"
03/2021 to Present
Developing a small package for fast and convenient statistical data processing, and simple AutoML for classification, regression, clustering, and CV classification of microscopic images. The package is used by some educational and scientific institutions in Ukraine.

- "Cassava Leaf Disease Classification with CNN"
11/2020 to 02/2021
Skill sets: Convolutional Neural Networks, Tensor Flow/Keras
Applied Tensor Flow/Keras to train CNN models (mainly EfficientNet, less Inception and ResNet) that correctly predicted 89% of images

- "Classify the presence and correct placement of tubes on chest x-rays"
12/2020 to 03/2021
Skill sets: Convolutional Neural Networks, Tensor Flow/Keras
Applied Tensor Flow/Keras to train CNN model with 0.96 AUC score

- "Data science Reddit posts: collect, analyze, and NLP modeling"
03/2021 to Present
Skill sets: Data Mining, Natural Language Processing, Clustering, TF-IDF, KNN, requests, Beautiful Soup, NLTK, RAPIDS, gensim
Collected over 500 000 Reddit posts related to data science. Created a post similarity analyzer.
I am looking for an interesting job in Data Science or Data Analysis. I am obsessed with self-development, so I am interested in projects where I can progress as a professional. Interested in a long-term cooperation.
Position: Statistical Programmer, Data Analyst (SAS, R)
Category: Data Analyst
Experience: 5 years | English: intermediate

- Development and implementation of an efficient data processing workflow: Optimized the data transformation process into SDTM and ADaM formats, resulting in a 30% reduction in data processing time and ensuring high data quality.

- Adoption of standardized software templates: Created a library of SAS macros with standardized templates for table generation, reducing development time by 40%.
As a Statistical Programmer, I have been involved in diverse projects and tasks within the realm of clinical research. Some of my projects encompassed various therapeutic areas, including Oncology (other solid tumor - Cholangiocarcinoma), Infectious Diseases (Community Acquired Pneumonia), NeuroScience (ADHD/Hyperactivity, Epilepsy), and Rare Diseases (Duchenne Muscular Dystrophy).

In my team role, I have been responsible for data processing and analysis of clinical data. This entailed transforming data into standard formats such as SDTM and ADaM, generating tables, listings, and figures for clinical study reports, and performing data quality checks to identify outliers and invalid values.

My proficiency in Statistical Programming revolves around utilizing a range of technologies, including SAS/Base, SAS/Stat, SAS/SQL, SAS/ODS, SAS/Report, and SAS/Macros. Additionally, I have experience working with databases like MySQL, and SQLite, enabling me to handle large volumes of data efficiently.

Currently, I operate as a contractor, which provides me the opportunity to collaborate with diverse teams and engage in various projects. I find it particularly rewarding to delve into new therapeutic areas and conduct high-quality data analysis for different clients.

Looking ahead, my aspiration is to further develop my skills and knowledge in different programming languages and technologies. I aim to enhance my expertise in Python and R, utilizing them for more sophisticated analytical tasks and innovative solutions in the field of clinical research.
Position: statistician
Category: Data Science
Experience: 7 years | English: fluent

enjoy math statistics and DOE
- Experience working in cross-geographic teams ;
- Usage of the correct statistical techniques to solve the business problems;
- knowledge Predictive modeling techniques (e.g., binomial and multinomial regression, ANOVA); Classification techniques (e.g., Clustering, Principal Component Analysis, factor analysis); Decision Tree techniques 
- programming in SAS & sql
Position: Statistician-programmer
Category: Java
Experience: 0 years | English: 

More than 2 years worked in international group with statistical data processing. Worked with the biological data types, it is able to retrain to work with other types of data.
R, Linux, С++, Java, SVN, Photoshop, NGS
Looking for interesting projects connected with data processing or machine learning.
Position: ST Engineer
Category: QA
Experience: 2.5 years | English: intermediate

Experienced in Manual testing of Web and Mobile (iOS/Android) applications, preparing testing documentation and bug reports. Experience in white box testing with Android SDK. Analyze and testing logic flows and client server communication (Burp suit, Chrome developer tools). 
My professional interests lie in automation testing of applications logic flows, learning and using scripting languages (Python).
SQA Testing & Methodologies
Test Plans, Cases & Processes Functional Requirements, Issue Identification & Documentation
Regression & Negative Testing 
UI & Compatibility Testing 
Defect/Bug Discovery 
QA & QC Standards
Android SDK
XCode
Client server communication (Burp suit)
Basic Python knowledge 
Eclipse IDE
Appium, MonkeyRunner, Selenium WebDriver
Git
Tools of web-programming (HTML, CSS, XML, JS, PHP)
Basic web debugging skills (Chrome Dev Tools)
Basic SQL (MySQL)
Acquainted with JIRA, Trello, Mantis, Redmine
Experience in Scrum, Agile
Experienced in work with Windows, Linux, MacOS, iOS, Android, most popular browsers, etc.
To find a challenging position in Mobile software development team with opportunities for career enrichment in automation.