lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist, Data Analyst, Analyst
Category: Data Science
Experience: 2 years | English: upper


Currently looking for an entry position as Data Scientist or Data Analyst.

I have a strong background as a scientist, obtained a PhD in polymer physics. Worked with statistical and scientific analysis of data collected during experiments on polymers, presented
results at conferences. Experienced with R programming language. Fast learner. Enthusiastic and creative approach to solving problems.

Attentive to details. Responsible and organized. Motivated to progress and develop myself in Data Science.
Position: Data Scientist/Data Analyst/ Data Engineer
Category: Data Science
Experience: 2 years | English: upper

Automatisation regular tasks, which are part of production. Implementing algorithm for outliers detection, good performance, high roc auc score.
Junior data scientist
* Comparing advantages of usage preventive maintenance for high loaded vehicles, other than while equipment failure occurs.
* Project using Bayesian networks (health field)

Technologies: Python(pandas, numpy, matplotlib), openAiGym, Reinforcement learning.

Big Data Analyst / Engineer
* Exploratory data analysis
* A/B tests
* Visualization
* AWS data services
* Building tools for data quality and monitoring
* HTTP
* Monitoring data completeness, reporting and fixing gaps
* Setting up Monitoring dashboards

Big Data Engineer
* Building ELT/ETL pipelines
* Creating Airflow dags
* Dockerizing solutions
* Spark
* AWS (EMR, S3, Athena, Redshift, ECR, ECS)
* Gitlab CI

Technologies:
Python(pandas, matplotlib, numpy), Grafana, Airflow, Spark, AWS ( Athena, Redshift, EMR, ECS, S3), PostgreSQL, MySQL, Gitlab, Jira, Confluence.

Pet projects:
* weather service (Django, postgresql, docker), 
* Analysis car prices (SQL, bigquery, beautifulsoup, pandas, bumpy, matplotlib, sklearn).
Position: Data Scientist, Data Analyst, Data Engineer, Python Developer, SQL Developer
Category: Python
Experience: 2 years | English: upper


Experienced with: Python (np, pd, re, matplotlib, sqlalchemy, scikit-learn, Flask), PostgreSQL, Supervised
Machine Learning, Feature Engineering, Data Mining, Data Analysis (descriptive, exploratory, predictive,
statistical), Hypothesis Testing, Algorithms and Data Structures, Creating and using REST APIs, Apache Kafka,
Linux, Git, Jira, Confluence.

Basic knowledge of: C++, C#, Java, OOP, HTML, JS and Software Engineering in general.

Data Scientist at Amazinum, Jul 2022 - Jun 2023 (1 year)
Skills:
- Data analysis
- Hypothesis testing
- Feature engineering
- Selection and training of supervised ML models
- Writing scripts in Python
- Writing complex SQL queries
- Processing hundrends of millons of rows of data with PostgreSQL
- Creation and filling of relational databases
- Deployment of ML models with Flask
- Experience with Apache Kafka

Developer of trading strategies with Binance REST API in Python, Self-employed, 1 year of experience
Skills:
- Data analysis
- Hypothesis testing
- Plotting of charts
- Complex algorithm development from scratch 
- Writing a large amount of scripts in Python
- Cleaning and processing big datasets on local machine
- Building algorithmic and ML models for market price forecasting
- Using Binance REST API methods to automate workflow
Main workflow:
- Collection of trading data from Binance
- Creation of strategies and testing them on historical data
- Creation of programs/robots that trade according to a given strategy/algorithm on Binance
Position: Data Scientist/Data Analyst/Junior Python Developer
Category: Data Science
Experience: 0.5 years | English: upper

Skills:
•	SQL (MS SQL, PostgreSQL, MySQL)
•	Python (NymPy, Pandas, Scikit –Learn, SciPy,)
•	Strong applied statistics skills
•	Methodologies (SCRUM, Agile)
SQL (MS SQL, PostgreSQL, MySQL)
Python (NymPy, Pandas, Scikit –Learn, SciPy,)
Strong applied statistics skills
Upper-Intermediate English level
Methodologies (SCRUM, Agile)
Ready to work for the result in a perspective and reliable company. As I have a strong mathematical background, my target is to expend Python knowledge and develop as a Data Analyst/Data Scientist/ Machine Learning Engineer.
Position: Data Scientist / Data Analyst / Machine Learning Engineer
Category: Data Science
Experience: 5 years | English: upper

I'm proud of my master's thesis - Probabilistic approaches in AutoML.
I'm finishing my master's degree in UCU (I've started it in 2017 and now I'm preparing to defend my master thesis).

During this time I was providing assistance with Data Science and Machine Learning on Codementor, making small projects on Arc etc.

I would be glad to join a strong team.
I'm mostly looking for stability after a 3 year long startup hustle.
Position: Data Scientist, Data Analyst, Machine Learning Engineer, Python Developer
Category: Python
Experience: 1 years | English: upper


Dear Hiring Manager,
I'm excited to be applying for the Data Scientist, Data Analyst,  Machine Learning Engineer, and Python Developer positions at the company where I will be hired. As someone with a lifetime love of relational mathematics and pattern recognition, I thrive on digging into complex data sets and producing insightful, data-driven strategic recommendations. I'm eager to turn my talent for analyzing big data into actionable growth strategies for your company.
Through my current role at CyberPoint, I supported our SOC team with detecting anomalies and predicting some possible Cyber Attacks. I pioneered the use of predictive modeling techniques to generate attack forecasting reports with a high degree of accuracy, resulting in an improvement in avoiding cybercriminals. With more than a year of experience as a Data Analyst, Data scientist, and Machine Learning Engineer, I am fluent in a wide variety of software and data management systems ranging from traditional options like SQL and SPSS to a widely used programming language like Python. I have a working knowledge of core programming skills, which has allowed me to develop several custom solutions within each of these data systems and deliver unique, innovative reports to executive leadership. Thank you for your time and consideration. I'm looking forward to learning more details about your company. I'm thrilled at the opportunity to use my expertise and experience to identify key data patterns, make reports and develop predictive models to help your company achieve its strategic and operational goals.

Sincerely,
Jeyhun Hagverdiyev
Position: Data Scientist, Data Analyst, Market Research Analyst, Risk Analyst
Category: Data Analyst
Experience: 2 years | English: fluent


I have worked in Marketing/Sales teams for nearly two years in two companies, one of which is LG Electronics Azerbaijan. I am currently working at the International Bank of Azerbaijan as a Data analyst / Data scientist. I am participating in developing risk models such as Application scoring and Behavioural scoring to asses customer loan worthiness and predict future behaviors. I am also validating all the models that have been developed by other structures (Cash Loan & Credit card propensity models). I am mainly using SQL, Python, and Excel for modeling and analysis purposes.
Position: Data Scientist / Data Analyst / ML Engineer
Category: Data Science
Experience: 0 years | English: upper

Master's degree diploma with honors in Applied Mathematics.
Data Science Professional Certificate from IBM (Coursera).
Deep Learning Specialization from DeepLearning.AI (Coursera).
My Coursera certificates are available on my LinkedIn page.
I have gained theoretical knowledge and non-commercial experience in Machine Learning, Data Science, and Data Analytics, as well as related Python libraries and other tools, such as SQL and MS Excel, by completing numerous online courses and during my studies at the university.
I would like to further develop as a specialist in Data Science, Data Analytics, or related areas.
Position: Data Scientist | Data Analyst | ML Engineer
Category: Data Science
Experience: 1.5 years | English: upper

1st job achievements:

- Completed market analysis, resulting in a prevention of 80% of loss.
- Predicted 77% of the customers out of top 2500, who would not make a transcation with our app next month, so prevented 20% loss from total payment volume.
- Developed Key Performance Indicators (KPIs) and presented it to the management team and led to the execution plan.
- Contributed to company blog posts, which is projected to increase 70% increase in customer traffic to our platform.
- Provided guidance to new members as a leader in data science

Current job achievements:
- Prepared 6 large scale Power BI/Excel dashboards which is approved by the Minister.
- Prepared one end-to-end ML project in the transportation field that results sent to the President Administration for approval.
- Successfully managed more than 30 projects of Ministry.
- Directly involved in the process of creating environment where the decisions are made based on data.
I have one year and 4 month of work experience in the data science field. After getting my first job, I worked for 7 months as a Research and Analytics Manager at a fintech startup called FinDynamix LLC. While I was working in my first workplace, I got an offer from the Ministry of Digital Development and Transport of the Republic of Azerbaijan. After successfully completing the interview stages, I started my new job and my current profession is Data Science.

The tools I am using during my work are Python, Power BI, SQL and Excel.

In future, I want to develop my knowledge in the field of Data Science.
- Stability
- Job Security
- Good Working Atmosphere
- Teamwork
- Promotion Opportunity
- Opportunity of self-fulfilment
Position: Data Scientist/Data Analyst/ ML Engineer
Category: Data Science
Experience: 2 years | English: intermediate

I have experience in: classical  machine learning and classical ML algorithms on tabular data for resolving classification, regression, clusterisation and time series forecasting tasks, science statistics, advanced exploratory data analysis and model explanation tools; direct communication with the customer in the form of daily communication with him to set tasks and check the current status of the project.
     Also have deep financial analysis experience, credit process and financial systems knowledge.
     Familiar with digital product analysis (cohort analysis, user retention, A/B testing, marketing funnel metrics marketing sales pipe line metrics CPI, CPM, CPC, CPA, traffic  quality analysis).
Data scientist
Nov 2021-Present
Key competencies:
- business understanding
- tech task definition to solve a business problem
- production-quality code

ML competencies:
Full ml pipeline
- data ingestion and collection
- ml driven eda
- data preparation
- feature engineering
- modeling
- model evaluation
-use model 


Projects:
• Support Custom Value Management project (Frequency – increasing the frequency of purchases, Anti-churn – return churn customers) in big retailer:
-	Working with marketing campaigns using ML-models (uplift, recommendation model), gathering data from DWH with pipelines using MS SQL, retrain models.
-	 Post analysis of marketing campaigns results (gathering data from DWH, metrics calculation, statistical significance assessment of each campaigns - A/B test).
• Data analysis (RFM – Life cycle grid, survival curve, metrics selection to evaluate the success of marketing campaigns, prepare customers segmentation between cases, customers basket purchases).
• Improved existing SQL/Python scripts in project, improve ML-models.

Role: data scientist 
Technologies: Python (Pandas, Scikit-learn, Numpy, Gradient boosting libs, Mlxtend, Optuna, GridSearch, Seaborn, Matplotlib, Selenium, Prophet packages etc.), MS SQL server,  Power bi etc.

Credit risk analyst
Nov 2005-Oct 2021
Credit decisions acceptance, financial and credit risk analysis of corporate clients, loan application support in the credit process, branch network training and mentoring.
Prepared business requirements for fast credit process 
(description list of automated controls and checks).
Diagramming business process (credit functionality).   
UAT IT improvements.
Position: Data Scientist/Data Analyst/Product Analyst
Category: Data Analyst
Experience: 1 years | English: upper

Certificates:
Codecademy "Data Scientist: Analytics Career Path"
Codecademy "Analyze Financial Data with Python Skill Path"
Codecademy "Learn Intermediate Python 3 Course"
Codecademy "Business Intelligence Data Analyst Career Path"
Codecademy "Learn SQL Course"
TestProvider "HTML5&CSS3"
Creative Practice "UX/UI Design"
Creative Practice "Web-design"
Marketing specialist

Education:
National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute", Analytical economics
SMM-manager (9.02.21-24.02.22):
Statistics analysis, cooperation with bloggers, visual design, copywriting, communication with customers, content planning, organization of shooting, creating stories and videos.
Content-manager (5.10.20-5.06.21):
The creation and distribution of high-quality content for the organization, ensuring it aligned with our brand and resonated with our audience.

For 6 months I took courses, the main goal was the career path "Data Scientist: Analytics", where I mastered the tools for data analysis. The main stack: Python (Pandas, Numpy, Matplotlib, Seaborn, Scipy), SQL, Tableau, Excel. I know how to solve product problems through deep data immersion. I also have experience in creating reports and presentations (PowerPoint, Canva, Figma), which will help me effectively share the results of my work with other colleagues.
I am a highly driven and analytical individual with a strong passion for Data Science. I have always been fascinated by the power of data-driven insights to transform businesses and innovation. I am dedicated to continuous learning and staying up-to-date with the latest tools. So I am excited about the opportunity to utilize my skills to develop and implement innovative data-driven strategies that will enable the organization to stay ahead of the competition and achieve goals!
Position: Data scientist / Data analyst / Statistician / Machine learning engineer / Healthcare analyst
Category: Data Science
Experience: 11 years | English: intermediate

Post graduate study, British Institute of Actuaries, exams passed: 
CT1, CT2, CT3, CT4, CT5, CT9
- data extraction, cleaning, preparation as inputs for actuarial models;
- statistical analysis, probability modelling, hypothesis testing;
- pricing, valuation of life insurance products;
- development of predictive actuarial cash-flow models used for financial reporting which require forward-looking estimates in life insurance and finance;
- updating assumptions for actuarial models;
- database validation, checking of consistency and quality of data;
- development of automation tools for data transformation between different formats of databases;
- database analysis for management purposes;
- MS SQL, Excel, VBA;
- basic knowledge of C/C++, Java, Python, R, Matlab;
- English (oral, written): Upper-Intermediate;
Having 10+ years in actuarial and statistical analysis and modelling, looking a possibility to apply my experience in data science, machine learning, data analysis in IT.
Position: Data Scientist / Data Analytic
Category: Data Science
Experience: 0.5 years | English: intermediate


Hello, my name is Mariia Kosorotykova and I am interested in position QA Engineer. 

I worked QA  for 9 months. Manual testing web application:
finding, describing and checking defects;
functional testing, integration testing, regression and confirmation testing, smoke testing;
writing test documentation;
reproducing incidents from users and providing support;
creating SQL queries to search and update information in the database;
specification testing (audit)

As I am highly motivated to work as a software test engineer and i have analytical thinking and knowledge of software testing I am ready to make my impact on the achieving the goals of the project.
Position: Data Scientist,Data analytics
Category: Data Analyst
Experience: 5 years | English: fluent


I am working in bank sector as data analyst 1 years.I have IBM Data science professional certification 10 levels and google data analytics certificate.I also know Tableau PowerBi Oracle SQl and machine learning.I work with big datasets and analyze all of them and visualization.
Position: Data Scientist, Database Developer
Category: Data Science
Experience: 5 years | English: intermediate

New and improved existing data processing pipelines, features and models have been developed to forecast revenue and ticket sales dynamic.
Lead of Machine Learning department. - 
Prediction market demand (revenue, sales, and prices) in concert/sports events, ticket prices optimization using data science techniques and machine learning models.
Position: Data Scientist / Data Business  Analyst
Category: Data Science
Experience: 1 years | English: intermediate

Licenses & certifications:
Practical Machine Learning - DataWorkshop
Python (introduction to ML) - DataWorkshop
Fundamentals of Software Testing - QATestLab
IT fundamentals for ukrainian switchers - EPAM Systems
IT Swith - GlobalLogic
I have a master's degree in finance from the Kyiv National University of Economics. It is Financial Management in business enterprises. 

Before moving to Poland, from 2013 to 2017, I worked in Busines Analysis/Project Management directly with business owners and performed the following functions:
• Research and analysis of the medical services and medical equipment markets;
• Analysis of market demand and needs of potential customers;
• Creation of concepts and development of business plans for medical institutions;
• Communication with managers of beauty salons and aesthetic medicine clinics;
• Development of customer service methodology, forecasting, and conflict resolution;
• Internal financial and marketing audits; • Staff work and service profitability audits;

During the year of study independently and in courses, I mastered Core Python and libraries for analytics like Pandas and Numpy, Matplotlib, and Plotly visualizations. I used Decision Tree, XgBoost, CatBoost, and LightGBM models in educational projects for competitions on Kaggle. I work in PyCharm, Jupiter, and Colab environments. I know how to write SQL queries, and in the training process, I worked with PostgreSQL and MongoDB and raised a pet project on DockerHUB. 

I learn easily and quickly with support and access to the information I need.
I am looking for Junior positions (full-time remote, part-time remote or flexible remote).

I am a switcher to Data Science from Business Analytics/Project Management in a small business (I have recommendations from stakeholders). I am disciplined, organized, and constantly learning and acquiring new technical skills (taking courses and practicing coding). I have strong soft skills when working in a team and high self-organization and motivation when working independently.

The main areas of interest are exploratory analysis and machine learning. I have a pet project written in Python and participate in Kaggle projects.

If necessary, I am ready to perform the test task.
Position: Data Scientist, data engineer
Category: Python
Experience: 1 years | English: fluent

Several courses in the internet connected to data science, data engineering, machine learning.  ##########################################################################################################################
No experience, only online courses. Гражданин Украины.
Data science, data analytics, data engineering, visualisation, mathematics, statistics, machine learning, sql.
Position: Data Scientist, data engineer
Category: Data Engineer
Experience: 11 years | English: upper


•	Work in a dev environment managing purpose-built, highly available, distributed, scalable cloud services;
•	Good problem-solving skills, with attention to detail and focus on quality;
•	Solid understanding of mathematical foundations behind Machine Learning; algorithms, and comfortable with discussing them in details;
•	Good understanding and background in probability theory, random process, statistics, and optimization techniques;
•	Solid knowledge of linear algebra;
•	Previous experience with either IR, NLP, CV, text mining, machine learning or big data mining is highly desirable;
•	Proven track record delivering enterprise-grade, scalable, secure & reliable software systems;
•	Good experience in developing highly scalable machine learning/deep learning-based applications and services;
•	9 + years of experience in analysis, design, and development of client/server, web-based and n-tier application. Expert in developing windows applications, web applications, windows services, and web services;
•	Ability to work on data mining, data science projects with an application; engineering, quality engineers and product management.
Position: Data Scientist Data engineer
Category: Data Engineer
Experience: 1.5 years | English: pre

– experience with Database Management (MS Access, MySQL, SQL, CA ERwin,
PostgreSQL, T-SQL)
– experience with graphics editor (Photoshop, Corel Draw, GIMP)
– experience with Python (Scikit-learn, NumPy, Matplotlib, Pandas, Seaborn,
Keras)
– experience with Wolfram Mathematica, MathCad
– basic knowledge Java, C++, HTML, CSS
2021-Present Data Science Department Specialist PUMB

2020 – Present Master‘s Degree, Applied Mathematics
Kharkov National University of Radio Electronics. State
– Data Mining
– Stochastic Programming

2021 Coursera: Machine Learning
Broad introduction to machine learning, data mining, and statistical pattern recognition

2020 GlobalLogic: GL ML BaseCump
NLP, treets, forest, boosting, clustering, neural networks

2019 Cisco: Programming Essential in Python

2016 – 2020 Bachelor‘s Degree, Applied Mathematics
Kharkov National University of Radio Electronics. State
– Basics of Machine Learning
– Databases and Information Systems
– Probability Theory and
Work with data, interesting tasks, work on real projects, trainee, improve  my skills
Position: Data Scientist / Data Engineer
Category: Data Engineer
Experience: 4 years | English: fluent


4 years of experience as a Data Scientist and Data Engineer.
Have various experiences:
 - creating/researching models and deploying them;
 - creating an analytic platform from scratch;
 - creating data pipelines and strategies for live trading.

Also, have some management experience.
Main language - Python. 
Prefer AWS as a cloud service.
I'm looking for a friendly, life/work balanced environment focused more on interesting challenges rather than simple support of the existing applications.
Position: Data Scientist / Data Engineer
Category: Data Science
Experience: 11 years | English: upper

Developed a Medical Information System for a clinic last year.  It’s in production.

Got a Master's degree in Computer Science last year.
Develops software over 20 years as a lead, developer, application architect. Last year switched to full stack web development and works with JavaScript/ReactJs for front-end, and Java EE PostgreSQL for backend. 

Participated in scientific researches, used statistics methods and data mining. Has scientific publications.

Has comprehensive background in business application development.

Has technical leadership background - seven years.

Now is interested in growing data analysis skills and looks for a team to work with.
Looking for a comfortable team to work with. Looking for a part-time job.