lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre


Jan 2022 – current: Statistician at PsyLab Psychometrics Laboratory

• Study of preferences using pairwise comparisons test. Implementation of statistical methods for rank data, such as Thurstonian models and dimension reduction, stochastic transitivity evaluation.

• Text parsing from job-market web-sites with further use of NLP and text mining methods, such as syntax analysis, semantic vectorization, tagging of job ads by topics.
      
• Improvement and modernization of psychometric properties of Moody’s Analytics certification exams using *.Rmarkdown, automation analytical procedures.
      
• Modernization of an ADHD diagnostic assessment. Engineering of a range of additional features, based on time series analysis, factor analysis, cluster analysis, analysis of variance, Poisson multiplicative models, binomial models, logistic regression.
      
• Automation of routine analytical tasks.

Education
2016 — 2022: Master of Science in Statistics, cum laude. Dnipro National University.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


Joined the Machine Learning and Data Science research team, majoring in CNN, computer vision, and object detection techniques. I 
was responsible for collecting and preprocessing the dataset, creating, training, evaluating, and deploying the models. Being in a 
Research and Development department, I was able to research different architectures and interact with some, such as VGG16 for image 
classification and YOLOV5 for object detection. 
Achievements: 
•
Developed models integrated into a system to assist farm managers and farmers predict the crop and disease type for crops such 
as tomatoes, cabbage, maize, rice, sugarcane, and wheat and give possible solutions.
Developed a database to store user input, the analysis given and the time the analysis was done using PostgreSQL. This 
information was rendered to the user in a table format for future reference. 
•Processed the data at scale (including writing scripts, calling APIs, writing SQL queries, etc.) into a form suitable for analysis 
then consolidated it into a data platform for consumption by advanced analytics initiatives. 
 
•Developed and automated metrics, dashboards, and reports for data visualization as per the user's analysis. 
 
•Developed and maintained technical documentation/manuals on configurations, setups, and deployment of the solution.

Dockerized web scraping application using Celery, Python (Django) to obtain cyclone tracking information. This information 
is scheduled to run periodically using a Redis queue and stored in a PostgreSQL database. Running the application and containers using the Docker-Compose file.
Position: Data Scientist
Category: Python
Experience: 1.5 years | English: upper


July, 2018 – up to present
Junior Data Scientist – SynergyOne
Responsibilities:
- Working on Scoring and AntiFraud
models: developing, deploying and
maintaining
- Providing statistical analysis of given
data, segmentation and clusterization of
credit portfolio of a company
- Taking part in development of scoring
systems using Flask
- Analysis and visualization of data in
order to find patterns of clients’ behavior
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

INT20TH Hackathon Winner (2nd place in Data Science) 

Worked on 2 pet projects:
Website for analyzing brain MRI images
 
Smart Surveillance Camera on Raspberry Pi
Junior Data Scientist – April 2019 to September 2019 
Mercury Digital Assets, London, UK (remotely) 
  Statistically analyzed financial data 
  Build and validated ML models 
 
Research assistant – March 2019 
Ukrainian Hydrometeorological Institute, Kyiv, Ukraine 
  Prepared and analysed data for GIS model 
 
Samsung Practicum Participant – February 2019  
  Developed a NLP model for detecting obfuscated JS code from 
scratch 
 
Data Science Intern – October 2018 to December 2018 
Jooble, Kyiv, Ukraine 
  Build a ML based search engine for Information Retrieval
Challenging tasks, friendly evnvoriment and mentoring. Any application of ML is beautiful in my opinion, so will be glad to work on any task
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper

Data Scientist with extensive knowledge of best-practice data cleaning techniques and approaches for a variety of
data types such as data wrangling, batch processing, data mining, data enhancement, data harmonization and
data standardization. Utilizes in-depth knowledge and experience of organizational problems, data formats and
data modelling to lead the team in application of data manipulation techniques for large or complex projects.
Experience in identifying the best visualization tool based on detailed knowledge of the data, organizational
context and data analytics capability. Skilled in Python, R, SQL, Machine Learning Techniques, Deep learning, and
Statistical analysis. Ability to lead a team in deploying large-scale or multi-stage models or model ensembles
utilizing extensive knowledge of existing infrastructure, architecture and big data technologies.
Junior Data Scientist at Azərbaycan Dəmir Yolları / Azerbaijan Railways

Duration: 24/02/2023 - Current
Responsibilities:
Cleaning data to support the development of freight and passenger traffic forecast models.
Preparing reports based on incoming requests.
Developing individual models to address business problems.
Optimizing existing forecasting models.
Creating visual reports to communicate findings and propose solutions.
Preparing economic infrastructure justifications using forecast results.
Social Media Manager at "Teamsah" Digital Marketing Agency

Duration: 13/04/2021 - 04/03/2022
Responsibilities:
Creating social media strategies.
Managing social media interactions between customers and the company.
Ensuring a positive customer service experience.
Overseeing day-to-day campaign management.
Maintaining brand consistency.
Universal Intern at Bank Respublika

Duration: 02/2021 - 05/2021
Responsibilities:
Transferring money using express money transfer systems.
Processing plastic card orders for customers.
Providing information about bank products to customers.
Handling customer deposits.
Preparing salary cards for employees and companies.
Skills:

Data analysis
Modeling (including GBoost)
Optimization
Evaluation
IBM SPSS Modeler
Tableau
Data visualization
Statistical analysis
Social media management
Customer service experience
Transparency, communication, and a positive work experience fulfill me in order to stay competitive and positive at the workplace.
Not being responsive to coaching or feedback, and lack of transparency in leadership can be challenging.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

- Have a proofed C1 language level.
- Participated in the  ICPC in 2020. Was the team captain
- During my internship at the company Netcracker, I organized the work of my team and gave tasks to build a complex project - the creation of a banking system
- I passed the exams with merit and entered one of the best universities in Ukraine in my speciality.
Junior Data Scientist in Deloitte (From March 2022 - Present)
- Worked with Transformers, like BERT. Fine-tuned masked language models.
- Created a bot which use a probability (native Bayes) to give the answer of user's question and update probabilities if user reaction was negative/positive (Sentiment Analysis).
- Worked with AWS, Azure cloud services.
- Worked with big data by Spark. Also worked with psycopg2 to save/write/delete data from our database.
- Created pipelines for translation, keyphrase extraction and summarization.

Java Internship in Netcracker (July - August 2021)
- Worked with Java and Oracle Databases
- Created own ORM for application
- Worked with data
- Created DB, repositories, worked with Postgres SQL.
- Created Business logic for program
- Created Unit tests
- Worked with Spring boot and Hibernate
Would be interesting to me to work with: 
- Big data
- NLP
- Spark, Hadoop

Not interested to work with:
- CV
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Ph.D. in Physics. Proficient in Statistics, Mathematics. Co-author of scientific papers in peer-reviewed journals.  
Achieved position in the top 3 of the 'Loan Default Prediction' Kaggle competition.
Junior Data Scientist
PrivatBank, Ukraine
Feb 2022 – May 2023
Ph.D. in Physics. Worked at Loan default prediction for specific bank loan products. Methods of applied statistical analysis, linear and nonlinear classification were used. Went through the complete Life Cycle of a loan product model: basics of financial risk management, Data Collection,  Data Preparation, EDA, Feature Engineering, Correlation, Model building, and testing.  


Military interpreter/translator ENG, POL, UKR, RUS
Atlas Advisors LLC, Ukraine
2018 – 2022
Translated written and verbal communications between English, Polish, and Ukrainian/Russian. Participated in Multinational training events with Army representatives from Ukraine, USA, Canada, Great Britain, Lithuania, and Poland. 

Lecturer, Researcher
Physics Department, Research lab. #10, Lviv Polytechnic National University, Ukraine
2004 - 2018
General Physics course: lectures with experiment demonstrations,  laboratory courses, and supervised bachelor projects.
Writing of project proposals, building of research plans, submission and presentation of interim and final reports. Involved in the complete lifecycle of more than 10 successful projects: CRDF Global, TTRI, NATO SPS program, and Ministry of Education and Science of Ukraine.
Would like to work for a successful and ambitious team in the Data Science field, which offers great opportunities for long-term development and progression.
Position: Data Scientist
Category: Marketing
Experience: 3 years | English: fluent


Junior marketer, copywriter
wEB QUALITY - WEB STUDIO
- Fulfilled the instructions of the director
- Conducted opinion polls
- surveyed people
- Conducted competitive intelligence
- Conducted market research
- Wrote landing page text
- Communicated with clients and drafted commercial proposals

My personal project
SOULS SCREAM - Online clothing store
- Created a multi-page landing page using the "Tilde" constructor.
- Found a factory for tailoring
- Invented prints for clothes
- Made creatives for targeted advertising
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Know how to:

•download, process, analyze and interpret data;
• use Python libraries for data processing and visualization, NumPy, Pandas, MatPlotLib, Seaborn, Plotly etc.;
   
• build and test statistical hypotheses;
• classify and cluster data;
• selection of features and construction of machine learning models;
• build linear and polynomial regression for forecasting;
• evaluate the quality of work of constructed algorithms;
• build decision trees and ensembles for task classification and forecasting.
Junior Specialist at Corporate Credit Analysis Department,  Kyiv July 2021 – Present, 1 year 11 mos.
• Received, cleaned, and prepared data using Excel for weekly and monthly reports, ensuring data integrity and reliability through data checks and cleaning. Created visualizations using PowerPoint to present results in a clear and concise manner.
• Responded to ad-hoc requests from the Head of Department, conducting data research, collection, cleaning, and analysis.
• Suggested changes to reporting indicators used to measure the unit’s effectiveness, which were implemented and resulted in improved accuracy in measuring team performance.
• Conducted analysis of financial statements for corporate clients, including simple market research from web sources.
• Detail oriented/self-motivated with the ability to learn and deploy new technology quickly
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


Key responsibilities:
- Determining the correct data sets and features
- Cleaning, preprocessing and validating data
- Devising and applying models
- Analyzing the data to identify patterns and trends
- Creating reports

Technologies: ML methods, NLP, Python, SQL
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


KEY SKILLS AND INTERESTS
Data Science · Machine Learning · Algorithms
· Data Structures and Warehousing · Python(programming language) · Advanced
English

AT THIS MOMENT 
Analytics and Data Science Team Lead
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent


Knowledge:
• algorithms & data structures, object-oriented programming, performance tuning.
• technical & theoretical knowledge in Machine Learning, Deep Learning, Data Science.
• predictive modelling, image processing, NLP, web scraping & automation
• build and maintain ETL data pipelines using Apache Spark, Databricks, AWS(S3, Athena, Glue)

Expertise:
• implementation of probabilistic models for text analysis & recommender systems (python).
• implementation of graph data structures / search trees for building AI agents in games (java).

Tech:
• python (tensorflow, keras, pytorch, NLTK, scipy, numpy, numba, pandas)
• spark, R, sql, java, matlab, git
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate


-Knowledge of probability theory, linear algebra and mathematical statistics
-Programming languages: experience in C++, Python(numpy, pandas, sklearn, matplotlib)
-Understanding of modern machine learning techniques and algorithms: regression, clustering, decisions trees, dimensionality reduction algorithms, ensemble models, artificial neural networks, time series analysis using auto regression
-Test projects on kaggle.
-MySQL, linux environment, git, docker
I want get hands on experience of using ml in real projects and working in a good team
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


-Knowleges: machine learning algoritms, Python, Pandas, Numpy, Sklearn
-Experience: project, based on the sequence prediction ( used recurrent Neural Networks (LSTM), recommendation systems, association rules)
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


Kuehne+Nagel - Computer System Engineer - 03.2020-09.2020
Internship program
Maintaining Database
Writing triggers, creating views, indexation etc
Bug fixing
A+S Consult GmbH - Data Scientist/Transport Modeller - 09.2020-05.2021
Preprocessing data (cleaning, normalising data from different sources to unified structure)
Developing ETL tool for continuous download of real-time data from GPS tracks (coordinates, vehicle velocity etc)
Solving transport modelling problems (Route/Mode Choice models, Trip Generation and Distribution, Trip Assignment)
Writing scripts that solves above-mentioned problems considering influence of external parameters (increased population, change of shipment price, new road built etc) to check different scenarios
Realising Visum project (software simulation of transport flows based on mathematical model) using built-in functionality as well as custom python scripts
Using ML knowledge to improve/adapt existing transport approaches to available data
Communicate with experts in transport/economics to synchronise results, knowledge and efforts
Writing reports/Jupyter Notebooks with analysis results 
Solving creative tasks
A+S Consult GmbH - Full-Stack Web Developer - 06.2021-03.2022
Writing core of Angular application
Optimising performance of web-application
Managing Hasura Backend + developing hasura remote-schema API on Ruby 
Maintaining database via hasura web console - managing user-permission system, hasura metadata and migrations
Developing data model, adjusting it to new features
Writing data pipelines encapsulated in Angular Services for further use in Angular Components
Developing authorization by OAuth2 standards
Researching and testing new technologies
Unit testing
Createk-M - Software Developer - 04.2022-present
Data Model Developing
Writing scripts to calculate usage of cable of some graph network and algorithms to optimise locations of cables and shafts according to existing supply (roads, tunnels etc) networks 
Developing QGIS plugin to edit existing network and run above-mentioned scripts
Developing server solution to fasten scripts execution
Developing GIS web interface to interact with server-side solution
Hi, my name is Antin. I`m Data Scientist with strong mathematical education. My experience includes, but is not limited to, working with data, predictive models, academical and pet-project experience with neural network architectures. Also, I have software development background (web technologies, data pipelines, DevOpsing). All in all, i am universal IT soldier, looking forward to learn new stuff and use my skills solving interesting, challenging tasks.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Before in my company pricing strategy was based on intuition only. I created a Linear Regression model that takes into account the elasticity coefficient. The model’s accuracy was 85%. It helped avoid the accumulation of products in the warehouse.
Landlord magazine (project job from March to October 2019) as Analyst

o Data normalization: Use Pandas library to cleaning and normalization of the EU land prices database to Machine Learning model building. 
o Data visualization: Data visualization to see how is an interconnection between data – land’s price and soil composition, climatic conditions, land location, etc.
o Statistical analyze: Statistical analyzes of the data to see data patterns and trends. 
o ML Model creating: Created a Random Forest model to predict Ukrainian land price after lifting the sale moratorium.
o Data analyzing: Based on the predicted land prices I wrote some articles about the future of the Ukrainian land market.

Good Logistics LLC (October 2018 – February 2019) as Marketer-analyst
o Statistical data analyzing: Made statistical analyze of the company’s clients, transportation volume, frequency. 
o Recommendations: Based on the analyze created marketing recommendations on how to increase the frequency and/or volume of transportation.
o Microsoft 365 for business: It’s integrated software, that brings together productivity tools, security, and management capabilities. Based on the sales managers' job I created recommendations on how to increase the frequency and/or volume of transportation of him/her clients.

Mary Kay (Ukraine) Ltd.  (April 2006 – May 2018) as Marketer-analyst
o Data standardization: Used Pandas to standardization and cleaning dataset to build predict model. 
o Created prediction model: Created a Linear Regression prediction model to predict sales. The model’s accuracy was 85%.
o Data visualizations: Using the Seaborn tool prepared graphics to identify patterns and trends before deeper analyzing sales data and consumer behavior. 
o Statistical analyze: Made statistical analyze of clients, product category sales.
o Clusterization: Using SPSS statistical package I built clusters of clients to create marketing activities for each of them. 
o Presentation for management: Analyzed prediction and clusterization models I created presentations for the company’s management to make decisions by them.
It can be a small team or a big project. It can be outsourced or a product company, new or used technology.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

My projects:
Backoffice for e commerce
Database manager
Synchronization between dirs
Coffee machine
Daily Affirmations
Medical Organizer of cancer
Languages: Python, Java, Kotlin, SQL, XML, Dart
DS libs: Keras, Pandas, PyTorch, Matplotlib, Numpy, Seaborn, TensorFlow, Scikit-learn
ML Models: Transfer Learning, Transformers: BERT, ALBERT, ROBERT
Frameworks: Django, Flutter
Java skills: Java SE, JDBC, JavaFX, Spring, JSON, JSOUP, JUnit, Selenium, TomCat, Design Patterns (Singleton, Call Back, Strategy and other), pgAdmin
IDE: Google Colab, Jupyter Notebook, PyCharm, Android studio, NetBeans, Intellij Idea, Eclipse
Other skills: GitHub, Excel (macros, pivot tables)	 	
Databases: PostgreSQL, MySQL, SQLite, Firebase
Operating System: Linux Ubuntu, Mac OS, Windows
Methodologies: Agile, Scrum, Kanban
Math and statistics:  mathematical analysis, linear algebra, probability theory, discrete math
Data Science Engineer with 7 years of successful engineering and management IT experience, who is always on a technical edge. My passion is to fill the gap between the vision of stakeholders until the implementation of the system, based on data analysis, and to develop systems based on state-of-the-art models of artificial intelligence.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Master's degree in Computer Science and Data Analytics at George Washington University (USA).
- Languages: Python, SQL, C/C++
I have 1.5 -years of experience as a Data Scientist. I have worked with
-Data modeling of IFRS9 standards for the banking system.
-Generating python scripts for data cleaning and preprocessing. 
-Development of Machine Learning models for various business domains.
- Prediction of Acute Pancreatitis with medical data
- Analysis and Application of Automatic Text Classification with 
 Supervised Machine Learning
- Modeling, data mining, and identifying anomalies using statistical, math, and probability theory tools (regressions, data sampling, clustering).
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Won Barama Incubation Program pitchment competition and earned 6 months mentorship
Won 5th place in Hackaton organized by Azerbaijani companies.
Learned statistics inside and out 

Worked on farm planning for Smart City project using Random Forest and Multilabeling

Completed Data School 

Working on Applying AI algorithm for anomaly detection the case of cracks on pavements
Looking for Junior Data Analyst position
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Led and drafted the Recommendation System project. Improved the accuracy of recommendations by 26%. Increased the speed of generating recommendations by 12+ times using concurrence programming. All models were put into production by linking them to the backend using Azure ServiceBus, Redis, Docker.  
	Modelled user behaviour and developed an algorithm to guide users through the patterns found.
	Developed a project for fraud detection with high evaluation score.  After significant tweaking of adaptive recommendations taking the company beyond the break-even point increased profits with the product team by 55%.

	Developed and managed a project to collect, process and standardize hourly weather data for crops. A total of 50 years of hourly data for most countries of the world from various sources was collected and standardized into a single format. Developed the parsing and aggregation of satellite data for the vegetation index.
	Participated in clustering of crops based on satellite imagery. Weather zones were clustered based on weather data, soil composition, vegetative index, etc. Modelled yields for each of the weather zones.
	All projects were automated using AWS services, with EC2 performing the calculations, S3 storing the raw data, and the processed and aggregated data in a SQL.