lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper

Contributed to delivering 5+ studies to the client by developing analytical datasets and outputs following CDISC standards.
Participated in developing macros on the client account to enhance the development process.
Conducted job interviews for intern positions and helped to raise several interns as a mentor.
Started my Ph.D. program at Kharkiv National V.N. Karazin  University in Economics in 2023.
Studied at the University of Barcelona as an Erasmus+ exchange student.
During my 2+ years at Contract Research Organization with the HQ in the UK, I have worked on clinical studies in several therapeutic areas such as Oncology and Respiratory performing tasks including developing analytical datasets and various outputs from them (tables, listings and figures), authoring the specifications to the datasets and reviewing other project documentation. The outcomes of my work allow the client company to get a clear picture of numerous aspects of the drug in research supported by profound statistical analysis. My leading technologies used for delivering this work are SAS and SQL.
My communication skills and experience in the field led me to pick up a mentor role for the company interns, helping them develop a solid knowledge of the technologies and domain specifics.
I am passionate about insights and the quality of decisions based on data analysis so I always strive for knowledge. I learned how to solve complex data science problems with the tools of Python libraries (NumPy, Pandas, Matplotlib, Seaborn, SciPy).
My previous experience also includes 1 year as a Sales Analyst for an outsourcing company which helped me develop my communication skills and the understanding of marketing and sales departments.
I am looking for a new challenging job. My first priority would be a Data Scientist position but I'm open to considering other data-related roles. Likewise, I am considering different types of companies but product companies are preferred.
Position: Data Scientist
Category: Data Analyst
Experience: 0 years | English: fluent

Through these projects, I learned how to work with data, explore it, write efficient code, apply statistical techniques to analyze data, and manipulate and transform data using Python. I have also worked on my skills of presenting the key points and a summary of my analysis.
During my freelance work, I've worked on several projects:
 Equipment losses in Russian full-scale invasion of Ukraine
 Census Income
 Search Engine Marketing Budget Distributions
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


During my studies I participated in many different projects connected with Data Analysis and Mathematical modelling as I am enrolled in the Master's program in Physics. First of all, I've participated in Particle Physics Summer Student Programme, where I was working on an analysis of the data collected in 2017 by the ATLAS experiment at CERN during a period of collisions of beams of xenon nuclei. The task was to read the information on reconstructed charged particles and present their properties in the form of histograms created using the ROOT programming framework in order to find the corrections which then were applied to
the results of measurements. 
Starting from December 2020, I've been working in the science group on Transport of topological excitations in atomic circuits under National Research Foundation of Ukraine grant. Using MATLAB we are simulating the physicals systems and analyzing their behavior. Now we're currently working on the developing the methods for the accounting of stochastic effects in our system. Collecting data from 3000 different simulations gives us the possibility to find a correlations between the important physical quantities.
Despite my enrollment into the scientific project, I have interest to work non-scientific fields as well. Due to my mathematical background I'm looking forward in developing and succeeding in the field of Data Analysis, Data Science and Neural Networks.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate

- developed prototype of the recommendation system, accepted by the customer for development. Accordingly, the presentation of this prototype to the client in English;

- numerous victories in math / programming olympiads.
ZNO 2012 mathematics - 200 points;

- more than 6 years of experience as a mathematics teacher (knowledge of the subject, unwillingness to continue to earn a living in this way);
During the year of work as MLE in SOLVVE, he took part in the development of:
- recommendation system for the social network;
- object detection;
- ...

Strong math knowledge, analytical mind, motivation.

From the 10th grade I wanted to work in GameDev.
I didn't really like to endlessly dig into classes and methods, I like to work with mathematical problems (statistics / probability theory).
If the vacancy combines Game Development and the position of Data Scientits- that's great! :-)
- interesting gamedev math projects, comfortable office;
- the possibility of progress in the field of English, management, sports;
- adequate salary assessment ($ 3000- $ 5000 in 5-10 years)
Position: Data Scientist
Category: Python
Experience: 3 years | English: fluent


Econometrician and Data Scientist with a Time Series, Nonlinear Modelling and Natural Language Processing (NLP) Specialization.

Demonstrated history of applying statistical methods to analyze nonlinear nature in macroeconomic processes using time series and unstructured (text) data.

Hands-on skills in designing and conducting research, from building extensive nonlinear VAR models to quantifying economic text data.

Passionate about applying econometrics and time series forecasting towards real life problems.

Technical Skills: Python, SQL, R, Matlab, SAS
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


Economist in pricing and business analysis with duties:
- analyzing data using mathematical models, statistical techniques, and software - presenting research results in reports, tables, and charts;
- interpreting and forecasting market trends;
- advising the company on economic topics;
- recommending solutions to economic problems.
Math tutor for high school and college students.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent

Courses:
- Machine Learning Specialization (Coursera)
- Neural Networks and Deep Learning (Coursera)
Education:
2019-2023 - Bachelor's degree in Applied Mathematics and Informatics.

Professional experience:
Since January 2022 I have been working as a Data Scientist in a product company. My primary responsibilities included the development & testing of the product's functionality, and working directly with clients from different domains to provide consulting services. 
Apart from my current professional domain, I'm interested in NLP and Recommender Systems applications.
I expect an interesting project with the possibility to master new skills and a perspective of career growth. 
Not interested in Computer Vision related projects.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


EDUCATIONAL BACKGROUND
Ivan Franko National University of Lviv

2015-2019| Bachelors degree Of Applied mathematics (Honours)
- Average mark - 94/100
- Studied algorithms, web scrapping, optimization
techniques

2019-2020| Masters degree Of Applied mathematics (Honours)
- Average mark - 93/100
- Studied advanced maths, statistics, mathematical modeling and analysis

WORK EXPERIENCE (PROJECTS)
1. Product similarity challenge | July 2019 - March 2020
Responsibilities:
- Data mining and cleansing
- Combining different algorithms and models while working with such data types: textual, numeric, graphic
- Applying NLP models to measure semantic similarity
between sentences
- Determinating similarity of two images by using an ensemble of pre-trained models

2. Data management platform | April 2020 - November 2021
Responsibilities:
- Building extractors for different kinds of data sources including databases (MySql, Postgres), APIs (Facebook, Google), cloud object storages (S3)
- Developing algorithms for data normalization
- Building asynchronous solutions
- Optimizing data extraction from relational databases
- Creating dashboards in Grafana based on Postgressources for monitoring purposes
- Taking management responsibilities such as mentoring and supporting newcomers, assisting the team in building solutions, performing a code review

BPMN diagram parser | December 2021 - present
- Enriching existing datasets by labeling real data and creating
generators
- Finding an appropriate approach for arrow detection (solving the issue
of small objects recognition)
- Applying sliding-window detection for image preprocessing
- Improving the speed of object detection by replacing existing models
- Detecting text on diagrams and associating it with objects
- Finding lines on the image and developing a graph-based solution to
build paths from node to node
- Automating the training process via AzureML
Position: Data Scientist
Category: Python
Experience: 0 years | English: intermediate

Bachelor of Computer Science at Institute for Applied System Analysis at Kyiv Polytechnic Institute (2021);
Python online courses on Stepik (2019);
Genesis & KSE Product School (2019);
Intro to machine learning (online) in HSE University (2020);
Machine learning (online) in Stanford University (2020);
Educational Project "Classification of vacancies on job search platform"
• Scrapped almost 10000 vacancies in Ukrainian, Russian and English of legal and IT jobs;
• Used Word2Vec Model from gensimpackage to look for most similar words in the corpus and created a taxonomy;
• Made conclusions about how vacancy attributes influence the speed of its closing and the impact of the COVID-19 crisis.

Diploma project "System for forecasting the projects results on the Kickstarter platform"
• Created and trained different machine learning models and compared their quality on the previously preprocessed dataset, obtained from the crowdfunding platform Kickstarter;
• Used predictions from models and dataset analysis to make conclusions about the work of a crowdfunding platform in depth;
• Developed a simple Flask app to visualize prediction of the campaign's success.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Taked part on programming olympiads for students, got sertificates in coursera, made educational projects
Educational projects:
- Building CNN to emotional detection, computer vision
- Building classic NN to cat detection, computer vision
- Telecom churn prediction with using machine learning methods and python libs
- Modeling membrane oscillations with using math-physics methods and python libs
-Earthquakes visualization with using OpenGL c++
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: fluent


Education : M.Sc. in Computer Science (George Washington University)
I have spent the past several years immersing myself in data science and machine learning. I have experience in computer vision and in NLP and I am currently a Data Scientist at one of the leading banks in the South Caucasus region, International Bank of Azerbaijan. I help developing NPTB models, analyzing and modelling unstructured text data. I work and collaborate cross-functionally with our various departments. I have strong communication skills and experience in explaining technical topics to a general audience.


• Developed face recognition system that would take a real‑time feed of new data
• Done Topic Modelling on unstructured text data 
• Analyzed key metrics
• Visualizing algorithms performance on dashboards with Tableau
• Worked directly with other software engineers to cut down on problem solving and increase development time
•  Trained machine learning models with scikit-learn and TensorFlow.
• Improved data quality and performance by analyzing, verifying and modifying python scripts.
• Performed data integrity checks, data cleaning, exploratory analysis and feature engineer.
Professional growth
Compensation
Benefits
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

For my master's thesis, I developed a content-based music recommendation system. The objective of the system is to find the songs which the user will most probably enjoy and to weed out the songs that the user will not.
Education:
National Technical University “Kharkiv Polytechnic Institute” – Master’s Degree, specialization in Computer Engineering. 2014 – 2020.

Professional training:
Machine Learning by Andrew Ng at coursera.org: studied the theory of supervised, unsupervised machine learning algorithms and where, when and how to apply them.

Open machine learning course at mlcourse.ai: 
    •Learned how to perform exploratory data analysis using python, pandas and visualization tools such as matplotlib and seaborn;
    •Gained more knowledge of machine learning and applied it to solve different regression and classification tasks using sklearn and xgboost.

Fundamentals of CRM and client SQL-based analytics at PUMB academy:
    •Enhanced my knowledge of SQL on anonymized banking data;
    •Learned the fundamentals of:
        1.CRM (Customer relationship management);
        2.RFM analysis (Recency Frequency Monetary value);
        3.Cohort analysis;
        4.CRM campaign result evaluation (control groups, A/B testing);
    •Learned the basics of Power BI to make reports.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

During my education in university I have built several projects, including:
 - Checkers bot: client to play checkers implemented with minimax and alpha-beta pruning.
 - Pacman: “Pacman” game implemented with depth-first search, breadth-first search, a-star and greedy algorithms.
 - App for generating university schedule using genetic algorithm, considering disciplines, rooms, times, lectors and lesson types
Moreover, I have developed several personal projects during my self-education:
 - Price Prediction project: predicting the future sale price of items, given its characteristics and previous examples of how much similar items have been sold for.
 - Heart Disease Prediction: given clinical parameters about a patient, predicting whether or not they have heart disease.
Also I have completed a few online courses to gain more knowledge in Data Science and Machine Learning:
 - Machine Learning by Stanford University (Coursera)
 - Complete Machine Learning and Data Science (ZTM Academy)
 - Complete Python Developer (ZTM Academy)
Education:
National University of “Kyiv-Mohyla Academy”, Software Engineering, Bachelor Degree
Currently in my 3rd year.
Courses: Algorithms and Data structures, AI basics, OOP,  Linear Algebra, Advanced calculus, Discrete Mathematics, Information retrieval.
Activities and Societies: NaUKMA Legal Hackers (2019-2020) - a student organisation, which explore and develop creative solutions to issues at the intersection of law and technology; NaUKMA Ambassadors (2019-2020) - a group of enthusiasts, who talk about NaUKMA at their high schools encouraging students to get into our university.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: pre

Computer vision project: Detect vehicles speed from CCTV Cameras with OpenCV and YOLO
Deep Learning project: Neural Style Transfer
E D U C A T I O N
STATE UNIVERSITY OF TRADE AND ECONOMICS
Bachelor | 2021 - 2025
Faculty of Information Technologies
Speciality “System Analysis”
Specialization “Information Technology and Business Analytics (Data Science)”

-----
W O R K _ E X P E R I E N C E
COURSE MENTOR "PYTHON FOR DATA ANALYSIS" 
January 2023 - Present
- Evaluation and analysis of student work: checking and evaluating students' work (code) on topics such as Python, Pandas/NumPy, Data Visualisation, SQL, Statistics, Tableau, and the final project, analysing their results, providing constructive feedback, explanation of mistakes and how to fix them, explanation of difficult to understand material in simple words, organising additional classes for students who have
problems with learning the material.
- Student support
- Course development and maintenance: ensuring the relevance and effectiveness of the course, exploring new technologies and methods of data analysis, updating course materials and curriculum to ensure the highest level of learning for students.
- Designing the course on the platform, designing certificates.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Suicide rate of Turkey and it's factors modeling and forecast
Consumer price index of Turkey modeling and forecasting 
Certified in machine learning by LinkedIn. 
Certification from university of London for machine learning and deep nueral networks
EE Engineer graduate with bachelor's degree. Ex applied mathematics masters student with data science specialization and currently an information systems masters student with data science specialization. 
Worked for 3+ years as a data scientist freelancing mainly one time project. 
Conducted data analysis, curve fitting, hypothesis testing and quantitative analysis using machine learning
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

Achievements at the current work
•	Minimization deviations between actual consumption and company purchases that helps company to decrease costs.
•	Forecasting of daily electricity consumption with Mean Average Percentage Error between 3-5%.
Energum, Kyiv. June 2020 – present
Data Scientist
Responsibilities
•	Forecasting of daily electricity and natural gas consumption by the company’s customers (300+ organizations) using Stlf, Nnetar, Prophet, Arima, Exponential Smoothing.
•	Analysis of the company's portfolio by regions, clients in order to identify possible deviations.
•	Preliminary data transformation and searching for hidden regularities.
•	Presentation of forecasting results to high management.

	Practice at The Ministry of Economic Development and Trade, Kyiv. Oct 2019 – Apr 2020
Data Scientist
Responsibilities
•	Preliminary analysis and transformation of available data.
•	Defining of factors that influence on the currency exchange rate.
•	Economic indicators forecasting using Arima, Prophet, Exponential smoothing etc.
•	Using ML algorithms (Regression, XGBOOST etc.) for determine the currency exchange rate and the most relevant factors.
Position: Data Scientist
Category: Data Analyst
Experience: 3 years | English: upper


Engaged in projects that drive value/improve economic efficiencies or guide strategy
development.
• Acted as a company-wide consultant leveraging advanced analytics and complex science models
to solve economic problems.
• Prioritized multiple tasks independently in a fast-paced environment.
• Knowledge of statistical methods, forecasting, and modeling
• Proficiency in acquiring, organizing, cleaning, and manipulating large amounts of data
• Developed operational metrics and reporting, creating and maintaining metric definitions and
working internally and cross-functionally to ensure consistent use of metrics
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


Engineering Data Scientist with 7+ years in analytics across multiple industries and different data roles backed-up by consulting and project management background.
Key DS facts:
- I'm more interested in solving 1 business problem than training 100 models.
- Know multiple ways to fail and succeed DS/ML projects with experience of taking feature from idea to prod.
- I will fit best into fast-paced agile environment, being best defined as a done-is-better-than-perfect person.

Background summary:
7+ years in Data Roles:
  - 3 years of Data Science Roles (NLP, Marketing Data Science) (2021 - Now)
  - 4 years of Data Analyst Roles, including 2 years of team Leading Experience (2016 - 2021)
I target B2C companies/projects and would prioritize positions with team leading responsibilities, ideally in EdTech or GameDev.
Not really interested in Finance-related fields (risk scorings, blockchain, crypto and so on.), 
More interested in remote work or pet-friednly office)
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

Finished many DS courses, such as:
- [Coursera] Math and Python for Data Analysis;
- [Academical ] Probability theory and statistics;
- [Stepik] Fundamentals of statistics;
- [mlcourse.ai] Open Machine Learning Course;
- [Stepik] Samsung Computer Vision Basics (CNN, torch, keras);
- MLOps Zoomcamp (MLflow, prefect, Flask, AWS).

Have been studied abroad for half a year (Turkey). Academic courses: Statistics, Decision Analysis, Exploratory Data Analysis, Digital Marketing courses.
Completed Leadership training (Malta); Have experience in teaching children and students. Love to share knowledge.
Engineer/scientist with 3+ years of working experience in commercial R&D projects, mostly as thermal design specialist, with programming / data processing tasks.

1. SGD Regression: chips softcooling algorithms (MATLAB, Python);
2. NN: Reduced Order Modeling (for real world engineering task) based on Neural Networks;
3. CNN: aerial image processing and UNET for segmentation classification problems;
4. Optimization: implementing iterative methods and non-gradient methods fan optimization;
5. MLOps/DE: basic knowledge and experience with Ubuntu bash / AWS, GCP / Docker / PostgreSQL, MongoDB. Grafana + InfluxDB for real-time experiments tracking;
6. Analytical and numerical engineering calculations (Python);
7. Scripts for calculations / experimental results postprocessing.
Would like to build solutions from the beginning to product implementation.
Interested in all sides of data projects: communication with clients, reseach and impelementation of best solutions (including data engineering and devops).
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


Enhanced data collection procedures to include information that is relevant for building analytic systems 
Developed data models and algorithms to apply to data sets. 
Developed processes and tools to monitor and analyze model performance and data accuracy. 
Selected features, building and optimizing classifiers using machine
learning techniques