lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Published an article about Monitoring ML models on prod on the DOU and it is on the top of best technical articles for January 2022

I had a successful community talk on topic Monitoring ML models on prod .
3 years of working experience as a Software Engineer.
I have worked on such freelance platformes like Upwork and Freelancehunt as a Python Backend Developer.
During that period i was mainly busy with projects like these:

The platform for managing customers and their packages (adding new functionality , changing messaging sorting system (income ,outcome)

The platform for displaying images on virtual reality( adding fields for self-changing images on the screen , saving many images to the database , displaying saved self-created virtual reality ).A few self-made projects (CRUD , TODOlist, real-time-chat , blog)
Then i have  started working as Data Engineer specializing on Operational Intelegency.
Worked on Canadian project as a SRE and worked with such tools like New Relic, Splunk, Jira and others.
My next project was connected with monitoring and support responsibilities on such services like Python, Splunk, SignalFx, Nexus, Cribl, GCP and others.
My greatest skills now are Python, Databricks, AWS, SQL,Bash, Linux, Docker, MLops, building data pipelines.
Then i started working on position of Data Scientist.
My main responsibilities were data sources analysys, data analysis, metrics calculation, building and modifying algorithms,
creating documentation, managing data sources and data integrations, creating data models and ml algorightms to work
with ml models. I also had responsibilities like performing various statistical analysis, researching and implemeting best practices to improve ml infrastructure, exploring and visualizating data.
Stack that i worked with:Python(Numpy,pandas,Scikit-learn,Tensorflow,etc) AWS(EC2,IAM,Lambda,Sagemaker,S3,Redshift),SQL,PowerBI
I prefer to work on position connected to Data Science especially Machine Learning
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 4 years | English: fluent

EDUCATION:
Taras Shevchenko University of Kyiv - PhD in Algebra (In progress)
Taras Shevchenko University of Kyiv - Bachelor and Master degree in mathematics and math economics (Diploma with honors).
Kyiv School of Economics (University of Houston) -- MA in Mathematical economics and Econometrics.
Toulon University -- MA in Mathematics and math physics (Diploma with honors)
APL, Python test-driven development.
Web-Scraping (parsing), Data Analysis and Data Science.
Machine Learning principles including forecasts, regression analysis, clustering, nlp, logo recognition.

- Logo Recognition service from photo and video, that processes real time stream and stores records to a DB. (PyTorch, OpenCV, Flask, RestAPI, Swagger)
- Anomaly Detection service from garbage data. (Scikit-Learn, Time Series, Clustering)
- Sentiment analysis and Chat analytics. (NLTK, SpaCy, Flair, Naive Bayes, Classification)
- Full stack NER service in languages: English, Spanish, French, Ukrainian. (SpaCy, Flair, Flask, Gunicorn, Celery, RestAPI, Swagger, Docker)
- Full stack Classification and Clustering services for texts and paragraphs. (Streamlit, SpaCy, RestAPI, Swagger, Docker)
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 2.5 years | English: fluent


As Freelancer:
-Participating in analytical project tackling investment opportunities in Ukrainian IT sector while under russian armed forces pressure along the border.
-Data collection from various IT companies and startups.
-Data cleaning, preparation and metrics development.
-EDA. Hypothesis testing and small scale forecast.
-Extensive use of Python(pandas, numpy, matplotlib, beautifulsoup, scikit-learn, tensorflow, etc.).
-Results visualization using Power BI.
-Scraping of various job agregators using Python(BeautifulSoup, Scrappy, Selenium etc.)

As Automation and modeling manager at Raiffeisen Bank Ukraine:
- Working in the Anti-Money Laundering (AML) Unit of Compliance Dept.
- Day-to-day work with in-bank databases. Experience in Transact-SQL. Creating various SQL reports for diverse analytical and business purposes. Regular DQI's.
- NBU reporting back-up(2FX,D0X). Experience in dealing with external audits.
- Processes Automation and Improvement. Using Microsoft SharePoint, PowerApps, SQL Server and R (shiny, rvest, tidyverse, ggplot2 etc.).
- Hands-on experience with Power BI.
- Regular analytical insights on different problems.
- Created models (R) for suspicious client activity detection, improvement of the existing ones.
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 5 years | English: intermediate

I am obsessed with data driven technology, have 4 years experience in marketing data analysis. I have expertise in building ML-models for marketing (martech) of one of the biggiest gambling company in the world, and DMP that process information about more than 50 million people.
Speaker at conferences, author of 30 articles and 3 patents for inventions.
Education: National metallurgical academy of Ukraine, Dnipro. Faculty - computer systems,
energy and automation. Specialization – the automation of production. Master's Diploma (with honors)

Skills:
- R, Python 
- SQL [ClickHouse, MS]
- DWH [bigquery]
- VCS [Git, bitbucket]
- BI-tools [Tableau, QlickView]

Work experience: 
2018 - present time - Gini analytics (data scientist)
2009 – 2018 – Iron Steel Institute of National Academy of science of Ukraine, researcher of the department of technological equipment and control systems 

Experience:
- LTV analysis (ROI, ARpU, retention)
- cohort analysis
- analysis of traffic attribution to commercial sources, multitouch attribution
- analysis of channels efficiency of user acquisition (Markov chains)
- fraud detection
- work with trekking systems - Kochava, Adjust
- create Tableau dashboards for creative analysis
- models of users classification - prediction of social-demographic segments of users by their web activity and type of video content
- look-a-like models for audience extention
- response models - prediction of users conversions
- create dashboards for monitoring models quality, etc
- auto bidding models for user acquisition
- fraud detection models
- model for marketing budget allocation
- create Tableau dashboards for monitoring user acquisition
Objective: creative
process of research, modeling, finding solutions and participation in the creation of intelligent products of the future is very attractive for me.
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 2 years | English: intermediate


Experienced and deticated Data Analyst with 2 years of experience indentifying efficiencies and problem area while communicating needs for project.
Adept at reseiving and monitoring data from multiple data streams, including SQL and Excel data sources.
Ability to synthesize quentitative information and interact effectively with colleagues. 
Proven track record of generation summary documents for sales team and marketing department for daily, weekly and monthly reporting.
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Completed "Crash Course on Python" by Google on Coursera
Completed "Data Analytics Professional Certificate" by Google on Coursera
Almost completed (92%) "Data Scientist with Python" by DataCamp
Simultaneously I'm studying "Data Science Fundamentals" provided by DataRoot
For now, I am a student. However, I am doing my best to secure a job offer in the Data Science industry.
As for my skills, I have a strong foundation in Data Analysis using Python, SQL, and Excel. Additionally, I am studying Machine Learning to become a proficient Data Scientist since I find this field more interesting and engaging than traditional Data Analysis.
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 2 years | English: fluent

Employment achievements:
• Built and maintained affiliate marketing fraud tracking dashboard
• Automated ETL data pipelines for marketing fraud detection
• Performed operational and adhoc marketing analytics

cetrficiations:
• Swedbank Data academy
  - Data warehousing training that included SQL, ETL, Data Modelling, Data Validation
• Parimatch Tech Academy DevOps
  - Course in cloud engineering utilizing AWS, infrastructure management and 
DevOps practices 
  - Initial experience with troubleshooting Linux, Docker and Kubernetes
  - Course project – Kubernetes cluster with nodes and horizontal pods 
autoscaling utilizing GitOps approach with Flux and Grafana for monitoring
• Genesis IT School 
  - Completed comprehensive school of digital online bussiness where I was taught foundation of market research, product strategy, market positioning and marketing strategy, building sustainable internet projects
  - Together with a team built and validated a prototype of mobile app

education:
• Kyiv Polytechnic Institute (IASA) - bachelor in system analysis
•Had over 1.5 year of experience with data analytics stack:
SQL, Tableau, Python ( Pandas, numpy, sklearn, plotly ), Excel.
•Developed dashboards, created datasources, performed adhoc analytics.
Main tasks were related to marketing analytics, developing dashboards of exposure and development of marketing antifraud tools
•Throughout internships, university courses, it-academies and personal projects developed skills of market-research, problem researching, hypothesis validation and testing, utilizing data science and machine learning approaches to solving problems. On top of that gained experience in cloud engineering utilizing Kubernetes ( Docker ) and Terraform to deploy solutions to production environments.
•Built a strong technological foundation to grow as a data-specialist for fast and efficient communication with colleagues from different technical fields contributing to common goal
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 6 years | English: fluent


Hello, I have over 3 years experience, I use jupyter notebook, r studio, tableau, SQL, Google cloud. I have done some projects on data analysis, btc prediction using ML models, Forex bots, python applications and also HTML CSS and JavaScript for building sites.
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

DeepLearning.AI TensorFlow Developer certificate 
4th Baltic Summer School of Digital Humanities (National Library of Latvia)
AI Summer School 2022 (Lviv National University)
I am a fourth-year computational linguistics student at KNU. Professional experience: English tutor at SetStud.
As a part of my university major, I worked on various NLP projects and tasks, including text classification, chatbot development, and statistical text analysis. I use Python libraries such as stanza, pymorphy2, spacy, nltk, and gensim to accomplish these tasks. Also, I have a little experience with CV having worked on a pet project for an ML internship. I have experience with text annotation (Ukrainian, Russian languages, and Surzhyk)
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 4 years | English: fluent


I'm a part of Data team in FinCrime Intelligence, Investigation and Analytics unit at Nordea.

I am living in Estonia/Tallinn
Mainly open for a job remotely.

Please contact for more detailed info
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


In my recent experience, I engaged with various data sets, using employing tools such as pandas and seaborn to create visualizations. My proficiency in these tasks was enhanced by successfully completing a Python course. Furthermore, I gained valuable experience in collaborating within a team setting.
Position: Data Analyst/Data Scientist
Category: Data Science
Experience: 2 years | English: upper

- Increased ARPPU prediction accuracy for new subscriptions (without historical data) – reduced
RMSE by 4 times by using similar subscriptions metrics and experimenting with parameter values
- Improved product content quality by creating an approach to evaluate it and, as a result,
reorganizing
- Reduced problems’ managing time from several hours to minutes by creating an automatic Slack
alerts system
I've been working as a full-stack Data Analyst for 2+ years. My technical skills:
Programming languages: Python, Java
SQL Knowledge: PostgreSQL, MySQL
Cloud Services: AWS (S3, RDS, Athena, Glue) 
Visualization Tools: Tableau, PowerBI
Higher Mathematics: Statistics and probability, Linear algebra, Calculus
Spreadsheets: Google Spreadsheets, MS Office Excel
Product Analytics Tools: Amplitude, FireBase, AppsFlyer
VCS: Git.
My main responsibilities were:
- Provided marketing and product activities’ performance tracking by building hourly updated Tableau reports by using Apache Airflow, Python and SQL
- Optimized data loads and preprocessing by using batch processing; SQL and Python scripts optimization
- Covered applications with product events, designed experiments and analyzed results, finding useful insights and increasing main product metrics
- Participated in the hiring process, mentored junior specialists and helped to achieve their performance goals
Also I am familiar with classic ML algorithms and techniques (classification, regression, clusterization). I have several projects on my GitHub repo.
I am looking for Data Analyst/Data Scientist role, which will help me to develop my skills (ETLs building; predictive models building; seeking for data insights for the purpose of product development). I would like to use my tech stack (SQL, Python, Cloud Services) and to expand this list.
Position: Data Analyst/Data Scientist
Category: Data Analyst
Experience: 3 years | English: intermediate

•Implementation of two predictive services.
•Implementation of push-notifications aimed to fulfill different business goals
•Experience as Junior Data Science Analyst in the sphere of advertisement
•Unit Factory. C programming language UnitPool (July 2018 - August 2018)
•'Data Science and Machine learning: crash course '
•'Data Science with Python' courses on DataCamp
Media Publisher Project (Duration: 1.5 years till now)
Data Analyst
-Primary responsibilities included data engineering.
-Worked extensively with tools and technologies such as Clickhouse, Power BI, and Python.
-Engaged in multiple data science projects.

Health Care Application (Duration: 1.5 years)
Product Analyst/Marketing Analyst
-Primarily responsible for tasks involving SQL, MS Power BI, SSRS, and R language.
-Produced marketing reports, conducted cohort and product analyses.
-Participated in a data science project.

Ministry of Digital Transformation of Ukraine (Duration: 6 months)
Data Analyst
-Major tasks included data analysis, data science projects (primarily focusing on the shortest path search), and data visualization of geospatial data.
-Usage of tools such as Python and Docker.

OMD Media Direction Intelligence (Duration: 4 months)
Junior Data Science Analyst.
-Responsibilities encompassed the development of econometric models for clients and providing ongoing support.

-Independent Research (Duration: 1 year)
Topic: "Assessing Credit Risk Using Machine Learning Methods."
Implemented methodologies using R and Python for research and analysis.
Challenging tasks.
Support, communication.
Position: Data-Analyst/Data-Scientist
Category: Data Science
Experience: 1 years | English: upper

M.D in Math in my university

The head of science comitee in faculty

Winning in school olympiads in math and in physics
1.5 year as Analyst
1 year of Python Programming
1.5 year as QA Engineer

Python libraries: tensorflow.keras, scikit-learn, numpy, pandas, matplotlib, seaborn, flask, SQL-Alchemy
PythonIDE: PyCharm, Jupyter Notebook

Tools: SQL queries, Docker, Postman, Unix-Shell, Soap-UI, WinSCP, NotePad++.

Other analytical tools: Excel (2 year), Libre-office

Experience: 
I worked 1.5 years as Analyst (Requirement analyzis and Data analyzis) in three companies. After this time I got experience in data-preprocessing and preparing data to analyzis. I used Excel and Python (especially pandas) for execution my tasks and that's why I've got practical knowledges how to work with them.
Looking to further my knowledge of Python in combination with Statistics abd ML.
Position: Data Analyst / Data Scientist / Business Analyst
Category: Data Analyst
Experience: 3 years | English: fluent


Data analyst with 3+ years experience in data analytics and modeling. Proficient in analyzing and visualizing complex data sets in marketing, finance, sales, and education using Power BI, Excel, R, SQL, and Python. Implemented user segmentation and analysis techniques to enhance customer satisfaction, resulting in a significant 15% increase in retention rates.
Position: Data Analyst, Data Scientist, Business Analyst
Category: Data Analyst
Experience: 1 years | English: fluent

Introduced and learned natural language processing (NLP) and OSINT techniques in my organisation, which opened up a new domain for analytics - social networks.
Completed Google Data Analytics Certificate and statistics courses from Google Advanced Data Analytics Certificate. I have also done a couple of Forage Virtual Internship projects for British Airways and KPMG, where I honed my machine learning, sentiment analysis, and data analysis skills.
I am currently working as an analyst in a government organization. My main area of expertise is OSINT and Natural Language Processing. I deploy machine learning models, such as roBERTa, to web scrape and analyze text sentiment. 
Upon completing my Google data analytics professional certificate, I realized I would like to further improve my skills in this area and move to the private industry. I am a focused and fast learner.
Position: Data Analyst / Data Scientist / Database Engineer
Category: Data Analyst
Experience: 8 years | English: intermediate

Data analyst for 8 years, data science for 6 years
Implementation Grafana as the main dashboard’s tool, daily mailing reports by telegram and e-mail
Develop/support stored procedures, databases, servers (MS SQL Server, PostgreSQL)
Development and implementation credit risk models (probability of default model) and business models (conversation model, retention model and transactional activity model)
I’m a data analyst / data scientist with experience in reporting, ml models (python), sql programming (starting from one-time requests to DBA). For the last few years worked building Big Data for banks in Ukraine as team leader of analytics teams. Mostly worked for building scorecards, business models and dashboards. Tech stack: Databases (MS SQL Server, PostgreSQL), Python, Grafana.
data analyst, data scientist, database engineer
Position: Data Analyst , Data Scientist , Data Engineer , SQL and Python Developer , Data visualization
Category: Data Analyst
Experience: 2.5 years | English: intermediate


Data analyst with strong probability and statistics background and two years of academic experience using data analysis and visualization software such as Sql and PowerBI, as well as data wrangling experience in Python and Microsoft Excel.
Position: Data Analyst, Data Scientist, Django developer
Category: Python
Experience: 0 years | English: intermediate

I am a graduate of International Economic Relations. I'm good at Economics, Data Analysis, Statistics and I've done projects on these topics on the Kaggle site. I know Django framework well and I have made Blog, Course, E-commerce sites on my local computer with Django. My shortcoming is that I have no experience in any company.
I have never worked in a company before, but I trust my knowledge and skills, I work in front of the computer for over 10 hours every day. I have many machine learning, data analysis and statistics projects on the Kaggle site. Also I have done many projects on my local computer with Django
Position: Data Analyst, Data Scientist, ML/DL Engineer
Category: Data Science
Experience: 0 years | English: upper


A first-year master's student at the KPI, specializing in "Applied Mathematics," also received a bachelor's degree here.

I have experience working with the Python programming language and implementing various tasks in Data Science/Machine Learning.

I have completed the Data Science Fundamentals course from DataRoot Labs, Applied Machine Learning on Coursera, and I am currently taking the Deep Learning with PyTorch course.

Throughout my life, I have worked on many different projects on Kaggle, at the university, and during courses. I have worked with various ML algorithms such as NBC, KNN, Regression, Classification, PCA, SVM, etc. Currently, as mentioned earlier, I am interested in Deep Learning (CNN, RNN).

I have a lot of theoretical experience and I am truly passionate about having a deep understanding of algorithms from a mathematical perspective.
Since the field of Data Science is relatively young, I would expect to receive some mentorship at the beginning of my career to understand what, where, why, and for what purpose I am doing things. While I have had some practical experience, each new task and project requires a unique approach.

I anticipate actively applying my mathematical and analytical skills because, as I mentioned before, I have a great passion for calculus, linear algebra, and statistics. Therefore, I would like to solve problems by implementing my knowledge in this field.
Position: Data Analyst | Data Scientist | ML Engineer
Category: Data Analyst
Experience: 0 years | English: upper


I'm a student of Kyiv Polytechnic Institute (Institute for Applied System Analysis)

Have experience in:
Python
Pandas, NumPy, Matplotlib
Machine learning 
Tensorflow 
PyTorch
Scikit-learn
Keras
PostgreSQL
ETL pipelines
Maths
Probability and Statistics
Linear Algebra

Have basic understanding of:
C/C++
Power BI
Position: Data Analyst/ Data Scientist / Product Analyst
Category: Data Analyst
Experience: 3 years | English: fluent

Bachelors from Monash University (#44 in World University Rankings 2023)
Postgraduate coursework in Data Science/Applied ML (Monash University)
3.5 years of work experience in Business Intelligence and Data Analysis. 

- Data Visualisation and Dashboards (Power BI, Mode.com, Superset, can easily learn new ones) 
- SQL writing queries of all types of complexities. I worked with PostgreSQL and SQL Server but can easily jump to any flavour. 
- Python can comfortably work with Pandas. Have also worked with text and time series data. Wrote lambda functions for automating transform functions. 
- Requirements gathering and problem framing

Best reason to hire me is my ability to understand business problems and ability to communicate insights to various audiences. Solid SQL skills and ability to pick up new technologies. Good understanding of statistics and ML theory.


Currently working in NL will consider this pay range if the work is full remote
Preferably an in-house project, that is centred around a product. Main language of communication is English. Also open to other Product roles. 

Open to moving 


Not a resident of Ukraine, (Australian Citizen) 
Currently living in Bishkek GMT +6 . Open to relocation.
Position: Data Analyst / Data Scientist / Project Manager
Category: Data Analyst
Experience: 11 years | English: fluent


I am a PhD researcher in Statistics and Econometrics. Currently, I work as a freelance data scientist and have experience in programming languages such as R, Python, and SQL and statistical software such as Stata, SPSS, Matlab and EViews.  Additionally, for data visualization purposes I use Tableau and Power BI. For task management I prefer Jira.
Additionally, I have considerable experience in project management and programme management.