lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Currently studying at System Analysis specialty in Ukrainian University.
I've been interested in Data Science for a long time and would like to try myself in this sphere.
Attend English speaking meetings on various topics to progress in this language.
Participant of ULA, DAAD projects, sometimes volunteering.
Ukrainian, Russian - native speaker.
English - B1+++B2 level.
French - A2 level.
I don't have a commercial experience.
I used to work with python, matplotlib, numpy, pandas, anaconda so I have some experience with these tools.
A small experience with Git.
Strong knowledge of probability theory, statistics, random/stochastic process theory, mathcad software.
I have experience in designing MySQL and SQL databases.
Recently, I have been interested in fuzzy math/logic.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


I don't have any commercial experience. But I acquired my skills by doing laboratory works at the University. Currently I am  the fourth year student of Data Science speciality at Faculty of Applied Mathematics. So, I have done some statistics, data bases, machine learning and optimisations methods courses. 
Can't wait to begin my professional journey in Data Analytics.
I look forward to working on interesting projects with a good team. Also have opportunities for career growth and deepening of knowledge.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Student of the 4th year of the IPSA. I am good at statistics and mathematics. I study Machine learning, data analysis, data science. I know C, C++, Python. Also, I have good knowledge in SQL.
I don't have any work experience yet. I want to work in the field of data science and machine learning. I am interested in areas in which I could constantly develop my skills and strengths. Also, I like to encounter something new every day.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

I am a 3rd year student at the Kyiv-Mohyla academy.
Learned disciplines: discrete mathematics, mathematical analysis, linear algebra and analytical geometry, probability theory and mathematical statistics, econometrics (Excel, R, Python), mathematical methods of machine learning (Python), databases (mySQL), course work "Mathematical model for forecasting in trading" (ARIMA, TRAMO/SEATS), actuarial mathematics, optimization methods and operations research, algorithms in  programming (java), fundamentals of artificial intelligence (Python), topology, numerical methods (Python), digital product management.
Library: numpy, pandas, matplotlib, sklearn.
I'm interested in increasing my knowledge in data analysis. Everyday I like to look for patterns in everything that happens.
I don't have experience.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


I embarked on my academic journey with a bachelor's degree in Informatics and Applied Mathematics at Yerevan State University. The Armenian Government recognized my dedication and awarded me a full academic scholarship. As part of the university's mathematics team, I earned a second category diploma in the North Countries Universities Mathematical Competition, solidifying my passion for mathematics.

Driven to delve deeper into Machine Learning (ML), I enrolled in a competitive ML course by Armenian Code Academy. Through this program, I gained a well-grounded understanding of ML concepts and the mathematical principles behind them.

Transitioning to a professional role as a Machine Learning Engineer, I worked on diverse projects, including house price prediction and developing the conversational-AI assistant Hoory. Excellent communication skills, algorithmic expertise, and knowledge of SQL and NLP were vital to my success during my 3.5 years in this role.

To expand my skills in Data Science, I pursued a Master's degree in Mathematics in Data Science at Technical University of Munich (TUM). As a tutor for the Foundations of Data Engineering course, I shared my knowledge and passion for teaching. I furthered my practical experience through a summer internship with the Meta WhatsApp team in London, working with large-scale data and using Python and SQL to develop data pipelines.

Selected as a Data Scientist for a group project at the BMW Group & Data Innovation Lab at TUM, I gained valuable industry exposure. Concurrently, I contributed as a Machine Learning Researcher at YerevaNN, exploring the transferability of adversarial attacks.

As a Teaching Assistant for the Machine Learning Operations course at the American University of Armenia, I nurtured students' growth. Simultaneously, I dedicated myself to my Master's thesis project, "Diffusion Models as Latent Priors in Generative Models," receiving a grade of 1.3 (very good) and successfully completing my Master's degree, marking a significant milestone in my academic and professional journey.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Towards Automatic Forecasting: Evaluation of Time- Series Forecasting Models for Chickenpox Cases
Estimation in Hungary
In this paper, we use time-series forecasting techniques to model and predict the future incidence of chickenpox. To achieve this, we
implement and simulate multiple models and data preprocessing
techniques on a Hungary-collected dataset
iERP CO Business Analyst Internship
IBM
08/2022 - Present, Budapest, Hungary
Design and implement SAP software programs for
businesses
Provide solutions for clients by integrating various business
operations into one platform via Jira
Run tests on all system changes for SAP
Preparing reports and dashboards for the management with
architecture diagrams and data transformations
Doing Regression analysis in the financial datasets to figure
out relationships between features

Data Analyst
QSS Analytics
01/2019 - 06/2021, Baku, Azerbaijan
Design, implement and maintain SQL databases, including
data modeling, database schema design, and performance
optimization
Implementing cluster analysis in terms of identifying groups
of observations that are similar to each other based on a set
of variables
Using data cleaning and manipulation such as removing
duplicates, filling in missing data, and merging data sets
Performing data preprocessing and data validation - know
the performance indicators of the model
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper


I feel competent in probability theory, stochastic process, and mathematical statistics.  
I have a good understanding of computational mathematics methods and a lot of experience in their application.
 I have a lot of experience in using MATLAB/Python numerical and statistical tools. Extensive experience in parallel programming, especially in CUDA.
 I perfectly understand the theory and algorithms of parallel programming. I have a lot of experience developing and debugging parallel programs. I have a lot of experience in optimizing the running time of C/C++/Matlab/Python programs even without parallel programming.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: pre


I got acquainted with machine learning while trading on Forex, where I wrote trading robots in C++ and tested them on real trading history of the currency exchange. But the process of programming and testing was much more interesting to me than trading itself. A few years later, when I started to take an interest in Data Science, I already understood the technical approaches and statistical methods used here. By primary education, I am a civil engineer. In my practice, I constantly introduced automation elements into the development of technical, administrative, and contractual documents, as well as various engineering calculators. I worked with large amounts of data. I have experience in creating training videos and text manuals. Programming languages/technologies: Python, MySQL, SQL, Data engineering,  VBA, MS Excel, C++, Google Forms, Google Sheets.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


I got my first work experience in IT company, where I currently work, for the first 3 months I studied the company's database and processed SQL queries (PostgreSQL, MySQL), I have Advanced SQL knowledge at the moment, after 3 months I started testing hypotheses to improve business, then I got to know statistics and probability better, while testing hypotheses, I studied the Pandas, numpy, matplotlib libraries in Python (I have basic knowledge), I can work with git and also use Docker, now I am engaged in customer segmentation in the project, I want to dive into machine learning, I have a great desire to learn
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Helped the client fully automate their end-to-end inventory sorting and forecasting, participated in a GPU Hackathon hosted by NVIDIA, got my work presented at a CERN-based conference.
I graduated from an American University with a degree in Data Science & Statistics and Physics. 
I have professional and academic experience in Data Science, Machine Learning, and Deep Learning. Professionally, I worked as an Azure Data scientist providing clients in retail cloud-based sales forecasting and automated inventory sorting. In those projects, I worked with Python, SQL, Kubernetes, and Power BI. Academically, I've been involved in particle physics research, developing collision simulation scripts in C++ and Deep Learning Models in Python. 
I want to continue growing in the Data Science field.
I'm interested in the small, medium, and large companies, both outsourcing and product.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: pre

Coursera
•	Applied Machine Learning in Python. 
•	Introduction to Data Science in Python.
•	Applied Social Network Analysis in Python.
Applied Plotting, Charting & Data Representation in Python.

Stepik
•       Neural networks and computer vision.
•       Neural networks and text processing.
•       Introduction to Linux.
•       Fundamentals of Statistics ( 1 2 3 )
I graduated from Kyiv National University with a bachelor's degree in software engineering, I am currently studying for a master's degree, and I also took a dozen courses on the Stepik and Coursera platforms.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I graduated from the Taras Shevchenko Kyiv National University, where I
earned my Bachelor's Degree in Computer Science from the Faculty of Computer
Science and Cybernetics.
While pursuing a Computer Science degree, I had the opportunity to engage
in a wide range of technical courses and learn various cutting-edge technologies,
that allowed me to gain practical hands-on experience (from fundamental
programming languages like C++ to specialized courses in artificial
intelligence(Python), database management(SQL), statistical methods for data
processing(Python), building web applications(JS, CSS, HTML), and cloud
computing(GCP))
Throughout my degree, I actively sought out opportunities to work on real-
world projects, collaborating with teams to develop useful and handful
applications. One of that projects was my graduate work “System of computer
modeling and Analysis of human movements in rehabilitation centers”. It gave me
invaluable experience leading a team of three students and participating in a real
computer-vision project (OpenPose, Pytorch). These have not only strengthened
my technical skills but have also taught me the importance of problem-solving,
teamwork, and adaptability in the rapidly evolving field of data science.
Beside of participating in different freelance projects, I got my first Data
Scientist job in the autumn of 2022. There I’ve got an experience in web scraping
(BeautifulSoup), cleaning, and parsing unstructured data; writing scripts for bulb
database (Postgres) updating and insertion; also, conducting analytics on gained
data. This was a versatile experience, but I’ve decided for myself to move forward
more into the machine learning industry. My latest machine learning projects are
“Predictive Analytics for Hospital Readmissions” and “Fraud Detection in Financial
Transactions”, where I implemented the whole pipeline starting from Data
preprocessing and Feature engineering and ending with model testing and
deployment. Mostly I used popular Python libraries such as Pandas and Sci-kit
Learn, and for model deployment Flask or Gradio.
I believe machine learning will revolutionize the industry so I’d like to be a
part of it.
Position: Data Scientist
Category: Python
Experience: 1 years | English: upper

I have finished Bachelor degree in applied informatics and during my studies I set different goals in order to acquire new knowledge using different courses for Machine Leaning and DevOps with Networking
I had an opportunity to prepare raw and big data using SAS and it's SQL procedure in order to fulfill requirements of the analysis. During this internship, my duties were creating and deploying different machine learning pipelines, analyze artifacts and reporting my research to team lead.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent


I had the opportunity to work as a research assistant in a project on EEG machines during the summer. The project was focused on constructing predictive generators of discrete observations and sequences of data from neural time series. After that, I worked as a data scientist at the startup anima.ua. I used data preprocessing techniques to clean, transform, and standardize table data as well as employed exploratory data analysis methods to visualize patterns, trends, and outliers. I conducted hypothesis testing on paired data to validate assumptions and draw statistically significant conclusions.
Data Scientist/ML position
Position: Data Scientist
Category: Python
Experience: 1 years | English: upper

Presentation at the conference for solid state physics (examining of raman spectrum of new Vanadium selenite); work experience in research institute "Institute for Low Temperature Physics and Engineering named after Verkin"; successful completion of all of my data science projects.
HSK 2 in chinese.
I has worked for eight months as data scientist. I had projects with regression tasks (delivery time prediction, prediction of insurance cost), project with object detection (for a factory: detection of people for security system), project with object detection for a store (detection and recognition of products on the shelf), project with object detection (for a construction company (detection and segmentation of roofs for measurements with use of google maps). I have experience in scientific research as physicist: system spectral and fractal analysis of geomagnetic field variations (time series analysis); optical and vibrational properties of low dimensional magnetics, magnetic properties of low dimensional magnetics, quantum chemical calculations of low dimensional magnetics (as a basis for publications in Journal for Low Temperature Physics and Engineering).
Position: Data Scientist
Category: Python
Experience: 1.5 years | English: intermediate


I hava 3 years experience related to C# developer.I learned  new standards  , skills in C# programming.However 3 years later I changed my  career to Data science or machine learning.During 4 months I'm learning Python  programming language with new applications.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

• Winner of All-Ukrainian math (2017) and physics (2018, 2019) school olympiads
• Grant with a full covering of studying payment in university
I have 1.5 years of commercial experience. I want to work as Data Scientist and deeply understand anything in this sphere. My main focus was Computer Vision, but I also have pet projects with ML/DL, 2D/3D processing, forecasting and RL.

SKILLS

Tech Stack
• Languages: Python3 (primary); C++
• Frameworks: PyTorch, Kornia, OpenCV, Scipy, Scikit-learn
• Data visualization: Matplotlib, Plotly, Seaborn
• Infrastructure: Docker; AWS (Lambda, S3)

Concept Understanding
• Machine Learning: Supervised (Linear regression, SVM, Random forest, Gradient boosting), Unsupervised (DBSCAN, SVD, k-means, PCA, ICA)
• Computer Vision: Object detection/segmentation/tracking (Mask-RCNN, YOLO, etc); Classic algorithms
• Data Analysis: Statistical inference, Hypothesis testing, Data visualization, Time series forecasting
(both classic and RNN-based)
• Document Understanding: OCR tools (Google Cloud Vision, AWS Textract)
• Embodied AI: Scene understanding (classic V-SLAM), Simulators (Habitat)
• Math: Liner algebra, Probability theory, Statistics, Calculus, Convex optimization
• Algorithms and Data Structures: Graph theory, Self-balancing trees, Flow networks
• Other: OOP, Microservices, Parallel programming

Workflow
• Software Engineering: Linux, Git, Jira, Confluence, Unit testing
• Experiment tracking: Tensorboard, Vulkan
Position: Data Scientist
Category: Python
Experience: 1 years | English: fluent


I have 1 year work experience in Data Science and Data Analytics. My skills include, scraping data, use of SQL to get the data from the databases, build dashboards using tableau, build models using python for machine learning and forecasting. I also have experience in R language. 

I am currently working at a dairy company as Sales Analyst. I perform daily market analysis, build reports for all the other departments, scrape market data for sales analysis, forecast sales and budget costs, do overall data analysis of the sales department.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


I have 2.5 years experience in  Risk Data Science.Here is some projects that I apply in this field.
1.Development and monitoring of the predictive risk models such as the regulatory models (PD, EAD, LGD).
2.Collecting the data required for the development of statistical
models. 
3.Default prediction models: Developing statistical models to predict the likelihood of loan default or other forms of credit risk based on borrower characteristics and historical loan data.
4.Credit scoring models: Developing models to evaluate the creditworthiness of loan applicants or borrowers based on factors such as income, employment history, and credit history.
5.Develeopment and validation of IFRS PD model 

As a Technology:
Statistical analysis software: Software such as Python or Dataiku is used to develop, test, and validate statistical models for credit risk assessment.

Data visualization tools: Tools like Tableau is used to visualize and explore large data sets to identify patterns and relationships related to credit risk.

Database management systems: Systems like Oracle or SQL Server are used to store, manage, and analyze large data sets for credit risk assessments.

Machine learning libraries: Libraries such as scikit-learn or TensorFlow are used to develop and implement machine learning models for credit risk assessment.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper

I have many projects. I have studies on data on cancer patients, telecommunications and covid19 diseases. I used Python, R and SPSS modeler on All project for forecasting some important target.
I have 2-year experience in Data Scientist, knowledge and experience with Statistical Analysis, Deep learning& Machine Learning Models, including Regression, Classification, Time Series Analysis using most R Studio, Python, Tableau, SPSS and SPSS Modeler, Excel & Dashboards. I participated in many capstone projects with SPSS Modeler, Python and R. Here, I was mainly involved in machine learning engineer.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: intermediate

I was a part of the team who implemented IT product (Finevare) in the bank.
I have 2+ years experience in data analytics. Currently working on projects related to price and promotion elasticity calculation and sales forecasting for CPG. I am writing python scripts for data aggregation, EDA and modeling (using pandas, numpy, sklearn). I am looking forward to any data scientist position where I will have opportunity to automatizate my work as much as possible, to learn and use last of date technologies and techniques, and to develop my skills and grow as an expert.
Interesting projects, professional and passionate people at work
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate


I have 2 years of experience processing, interpreting and analyzing data. Skilled in machine learning, statistics and programming. 
1. Creation predictive models for DIrect Marketing.
2. Developing a procedure for preprocessing an audio signal for Speech Recognition.
Opportunity for professional growth.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

On past projects, I had experience not only as a machine learning engineer but also as a full-stack developer. I developed web services, worked with GPGPU programming, had experience with Python, Java and C++ languages. I can quickly figure out new technologies and integrate machine learning into them.
I have 2 years of experience with Computer Vision and Natural Language Processing projects. Developed an application for cinematic color correction that borrows one image’s
color characteristics from another. Developed computer vision algorithms for color
transfer in real-time mode. 
Also, I worked on an information retrieval system, people and companies search engine that uses a machine-learning algorithm and NLP techniques. Designed and implemented natural language processing features. I have experience with developing chatbots using Dialogflow and Amazon Alexa bot frameworks.
I wanna find a job in the field of machine learning, with an experienced friendly team and interesting non-trivial tasks. Most interested in projects in the field of medicine, earth observing, text analytics, but I will consider other proposals.
I prefer a small team with an experienced lead and creative, friendly atmosphere. I wanna work in a product company, with R&D tasks in the Machine Learning area and work on a product that will make this world a better place.
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: intermediate


I have 4 years of data science projects experience. 
I have created projects in different areas.
Профессиональный рост. Офис возле метро.