lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


I possess a diverse and extensive background in leading-edge projects across various domains, showcasing proficiency in cutting-edge technologies and platforms. My expertise spans multiple areas, including:

1. Natural Language Processing (NLP): My experience encompasses Named Entity Recognition (NER), Multi-label classification, Text Generation, and utilizing advanced models like GPT (Generative Pre-trained Transformer).
2. Recommendation Systems: I have successfully worked on both Content-based and Collaborative filtering techniques, along with implementing Hybrid recommendation systems for enhanced user experience.
3. Statistics: Proficient in utilizing statistical methodologies to extract insights and make data-driven decisions, contributing to project success and accuracy.
4. Computer Vision: My capabilities extend to Image Segmentation, Object Detection, and Multi-label classification within the realm of Computer Vision, achieving optimal results in various applications.

Moreover, I have a proven track record of leveraging different Cloud platforms, such as Google Cloud Platform (GCP), Microsoft Azure, and Amazon Web Services (AWS), to deploy and scale solutions effectively.
I am excited about the opportunity to contribute my expertise to a forward-thinking organization and drive impactful outcomes.
Position: Data Scientist
Category: Python
Experience: 0 years | English: intermediate


I pursued my research interests through a Master's thesis titled "Proximity Effect in Spatially Inhomogeneous Heterostructures: Ferromagnet-Insulator-Superconductor Co2CrAl-I-Pb" at the G. V. Kurdyumov Institute for Metal Physics of National Academy of Sciences of Ukraine.

I`ve been working as a Math ans Physics Tutor since 2012. Had own courses, worked in private school.

Furthermore, I have actively expanded my programming skills, particularly in Python, SQL.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: intermediate

Created and analyzed datasets: Collected data on a topic of interest and used Python or R programming to clean, organize and analyze the data using the pandas and numpy libraries.
      Created data visualizations. Used matplotlib to create visualizations such as bar charts, line graphs, scatter plots, or heat maps that effectively communicate information from your dataset.
      Predictive modeling. Used statistical methods and machine learning algorithms to build predictive models using their data set and evaluate their accuracy using metrics such as root mean square or R-squared.
      Applied statistical tests. Used my knowledge of probability theory and statistics to implement statistical tests such as hypothesis testing, analysis of variance, or regression analysis to understand my data.
I started my journey in studying data analysis, I have knowledge of Python, R programming language, matplotlib, pandas, numpy libraries, I have good knowledge of mathematics and statistics, probability theory
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


I started to work as a Data Analyst Intern and Academic Mentor in a company called Datacity where I learned and applied skills such as data cleaning and data validation of existing spreadsheets to promote robust data management platforms, resulting in accurate data analysis and prediction. It taught me the importance of building a convenient and memorable consumer experience that aligns with the brand and helped me grow my skills in team collaboration, verbal communication, and project leadership.
Additionally, I was awarded 3rd place at “The Third International Student Research and Science Conference” with the topic “Using Artificial Intelligence in automation of Project Risk Management” dedicated to the development and integration of a software module that can properly predict risk impact and probability rates in distinct risk categories of a given project with the intent of improving the likelihood of successful development of projects using machine learning techniques. 
Now I am the marketing data scientist Intern in Vodafone budapest.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent


I studied Computer Engineering and have had experience in the Education Field, Content Marketing, and currently Data Science and Analytics with my present organization Civily.
At Civily, I have embarked on different projects involving Exploratory Data Analysis with Python and Natural Language Processing of Twitter content for the last Nigerian election to understand users' sentiments of aspiring politicians.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


I study Data Science for 1 year. I plan to work and develop in this field. Confidently using Python, Pandas, NumPy, Plotly, Seaborn, Scikit- learn, Git. I know the syntax of PostgreSQL, the basics of mathematical analysis, mathematical statistics, probability theory and linear algebra. I understand different types of ML models: Linear/Logistic Regression, Decision Tree, Random Forest, Clustering(K-means, DBSCAN), Gradient Boosting, Stacking. I know the data structures, principles of OOP and Modular Programming. I am able to argue my conclusions, present ideas and work in a team, apply a flexible approach to solving problems.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I wrote a voluminous bachelor's work on computer vision and various image scaling methods. Once I completed Coursera with Deep Learning from Andrew Ng, which consists of 5 courses in just a week.
I successfully graduated from DataRoot University and for a month together with the team were engaged in the final project. It consisted of building an article aggregator that produced relevant articles for keywords. Also tried myself on various datasets from Kaggle. I wrote and successfully defended my undergraduate work related to computer vision last year. It consisted of the analysis of various existing algorithms for image scaling, building a neural network that was engaged in this task and comparing the quality of all the methods considered. 
I want to find a friendly team that likes to face difficulties and solve them. Important personal growth within the team. I want to realize the craziest ideas that seemed unrealistic and create something new.
Now I am learning existing big data technologies and hwo to deploy artificial intelligence systems.
I want to get rid of routine work as much as possible so that there is as much time as possible for maximum immersion in specific projects. It is very interesting to do machine learning. I love the Python language and constantly find something new. Always ready to learn.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: intermediate

Developed a database for the university (educational department, schedule - "a problem with fuzzy logic").
Developed a database for accounting for the city market.
Developed a database for a utility company.
Author of articles, textbooks and teaching aids on mathematical and optimization methods, econometrics, systems for processing economic information, Excel, Access, 1C.
PhD.
I teach databases, mathematical, optimization and statistical methods in engineering and economics, information technology. Author of articles, textbooks, guidelines.
SQL, Visual Basic (Visual Studio, Access, Excel), 1C, Python, Fortran, LISP
Position: Data Scientist
Category: Python
Experience: 2 years | English: upper

HILLEL IT school "Machine Learning Advanced level"
UDEMI Certificate "Machine Learning & Data Science"
UDEMI Certificate "Python basic course"
UDEMI Certificate "SQL basic course + practice"
UDEMI Certificate "Django 3 - Full Stack"
German language Intermediate , GOETHE zertifikat B1
IT-Enterprise | Junior Data Scientist (remote) Sep 2022 - Jan 2023
Data scraping and processing/ Data analysis and visualization / Construction of ML models
and DS tools with ETL (NLP)/ Text categorization and classification/ Data collection.

IT-Enterprise | Junior Python Developer Apr 2021- Aug 2022
Working with databases, сoding, committing, commenting, testing, and refactoring of
source code for visualization of technical documentation.

Amarasot | System Administrator Mar 2018- Feb 2021
Installing and configuring software, hardware and networks Performing account setup
Diagnosing and resolving hardware, software, networking, and system issues when they arise
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Pet project: 
I have deployed a model that recognises audio 8 commands using bentoml, streamlit and heroku, you can find link to the UI and source code of the model on github
I took part in a six-month Data Science course where I studied Python, EDA, Statistics, Regression, Classification, Clustering, Time Series, Neural Networks, Basic CV, Basic NLP with homework and regular discussions with mentors.
Took 10th place in the course based on the results of the kaggle competition across all students at the end of the course.

I also took part in a summer school from UCU conducted by the founder of Vocalics.ai on the topic: "Audio and speech recognition".
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


I try to help people and businesses make the right decisions and try to interpret result using Optimization and Operation Research technology.
Already helped production and processing technologists to properly set up manufacturing process, sales departments to build purchasing and sales strategy, retailers to set optimal prices, logisticians to build routes correctly. Would like to help many other people and I ready to explore new thing about their business.
I focus on developing and implementing advanced analytics solution, primary using mathematical optimization in Digital Twins/IoT, Integration Planning System, Regular Pricing Optimization and Supply Chain Sustainability.
Experienced in implementing solutions in Manufacturing, Mining, and Energy industry. Also, developed solutions for Retail and Logistic.
Have a deep knowledge about optimization software like SAS Optimization (SAS OR) and Gurobi (Including Gurobi Api for Python).

I love playing football, watching NBA and learning new things =)
Position: Data Scientist
Category: Data Science
Experience: 4 years | English: upper


I've an experience for almost 4 years in financial sphere. 
1) Now I'm Business process development responsible in Mogo Armenia, which includes analysis of market,outcome analysis  of different departments for further decision makings, risk analytics, product analyses. 
2) About 1 year I've worked as "Kiosk relationship responsible"  in Mogo Armenia, which includes data analyses as well, 
3) About 2 years I 've worked as loan specialist and chief loan specialist in Mogo Armenia, which includes analyses of financial situation of clients, business analyses. 
4) About 1 year I've  worked as customer support specialist,mostly focused on identification and fraud risk control in Good Credit AM which is representative of 4 finance in Armenia.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: upper


I've as Data Analyst in telephone communication company, named 'Nur Telecom' for 1 year. I've worked with data, I was visualizing  it with Python, Excel and PowerBI. Mostly my work was to send daily reports with visualizing current situation and making predicts about future values.  
Also I've worked as Data Scientist in Beeline telephone communication company for 1.5 years. I was cleaning data, creating different ML models. One of the model makes decisions about giving credits to customers, if they returned money back in past. I used Python,Numpy, Pandas, Matplotlib, Keras, PyTorch, TensorFlow, MySQL, PowerBI
Position: Data Scientist
Category: Data Science
Experience: 10 years | English: fluent

Lived and worked in 4 countries.
I speak English, Italian, and French (i don't write poems, but I can be clear enough) + Ukrainian.
Founder of the open source initiative in the field of AI transparency/ethics.
PhD drop-out.
Imagine Cup global finalist.
I've been driving innovation, influencing policy and technology solutions, and managing go-to-market strategy for several technology startups, as well as one well-known technology giant. Last years my focus has been in the field of NLP and machine learning with applications in computational linguistics and psychology. I've been also working in the academic research environment and I am well familiar with the cutting edge research in the fields of neuromorphic computing, neuroscience, and computational biology. I code in R, Python, JavaScript. I have a culture of building privacy-by-design services, focusing on accuracy, data minimization, integrity and confidentiality.
I'm interested in global projects involving deep tech (neuromorphic computing, BCI, ML), specifically in the areas with high impact on UN SDGs. 

I'm not interested in building tinder for X or facebook for Y.

With my experience and passions I would like to contribute to qualitative R&D as well as to building cohesive result-oriented teams with culture for curiosity and good communication. 

Disclaimer: I am involved in another project and I am not able to join full-time (at least for now).
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: fluent


I've been programming for 8 years now, mostly in JavaScript and Python. In the last 4 years I participated in the development of several complex applications.

During the last year I completed several machine learning and math courses. I also took part in several competitions, the last one was Yandex Championship.

At my last job I led the development of the client application for the Waves blockchain platform. Designed the architecture, and performed security analysis. Created a library to work with cryptography and the blockchain API. I also gave lectures about blockchain, including the talk at HighLoad++ 2017.

I swiftly grasp new knowledge, and I am actively studying mathematics.
I want to start working with NLP or CV (both areas hold my attention as of now) in a team with a good mentoring attitude. I can offer not only to complete my own tasks but also to help others and propose insights on the current problems.

Although I'm okay with writing some production code, I would prefer to dive deep into research (that is, it would be nice to have a 20/80 or a 30/70 balance between the two).

While I also can prototype a frontend app, I would love not to.

I certainly won't do any HTML/CSS stuff.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Completed the courses "Interactivity with JavaScript" and "
Programming Foundations with JavaScript, HTML and CSS".
I've been using Python programming language for data processing during study practice in Krakow. It required getting, sorting and analysing large data files of flux and spectrum information about active galactic nuclei, which was being done with Python packages like numpy, matplotlib and os. It aalso included graphs plotting and visualising data.

Currently I am a teacher in a private IT-based school for children. My subject is "Basics of programming with Python", 1 year of experience. 

Also, I have taken Coursera courses "Programming Foundations with JavaScript, HTML and CSS (with Honors)" and "Interactivity with JavaScript".
I'm looking for an interesting job in a good company, that I will be able to combine with university studies (currently a 5th year of Kyiv National University, faculty of physics). So priority for a part-time job.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

As a developer, I reworked the architecture approach in my project. The new approach made easily the development and integration of new features in the enterprise. As a scientist, I've developed a tool for engine angular velocity signal classification. It's methods provide a very informative report for experts (it's my university diploma project).
I've been working as a python developer for the enterprise. A strong university basis and related job profile motivated me to move in DataScience. I've been covering analytical and math skills to be confident in this area. My passion is in signal processing and analysis.
Highly motivated team. Good management.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate


I've been working as Data scientist for about two years. I have work experience in Computer Vision (classification, object detection, segmentation, pose estimation, tracking, satellite data) and different type of ML projects. I was getting involved in a full life cycle of a data science project, from a feature engineering and feature selection to model creation and deployment. I like getting insights from data. I would love to help you move from data to insight to action.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

- Deeply researched topic of controllable machine translation with style transfer capabilities and became a coauthor of multiple Scopus indexed papers regarding this topic;
- Researched modifications of SV2TTS architecture for machine voiceover with speaker voice transfer in order to make it work with Ukrainian language using a small set of data;
- Got experience with Google Vertex AI tools for NLP tasks and time series forecasting;
- Managed a Looker instance with more than a hundred connections
- 3 years of commercial experience with BigQuery data warehouse for analytics and machine learning tasks (data preparation, cleaning, restructuring etc.) + experience of dbt usage to manage data transformations and scheme migrations;
- Experience with Airflow as a part of Google Cloud Composer for scheduled tasks in order to transform or validate data;
- Software Engineering master degree.
I've been working for 3 years as a Data Scientist using Tensorflow, PyTorch and GCP Vertex AI stack + BigQuery, Airflow and dbt for data transformations. Created models for customer segmentation, sales forecasting, items classification based on their ecommerce data. I used custom solutions developed with ML frameworks, tuned huggingface pretrained transformers, created prototypes with Google Vertex AI solutions.

3 years of commercial experience with Looker and Looker Studio for data analysis, visualizations and reports building. Developed dashboards for clients and internal usage, created monitoring for our production Looker environment, developed extensions for it with React.

Got Master degree in Software Engineering. Developed controllable machine translation solution with style transfer ability as a master research. Published some Scopus indexed papers with results of conducted research. Developed a solution for Ukrainian voiceover with speaker voice transfer using SV2TTS architecture as a bachelor qualification project.

Currently I work in R&D division. I would like to switch more to NLP projects, as that is where my scientific research area lies.
I want to work with Machine Learning projects as a Data Scientist or ML Engineer. Ideally I would like to work in either Natural Language Processing (NLP) or Digital Signal Processing (DSP) areas on research and development projects.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate


I've finished additional courses Machine Learning, in Python and Scala for Data Science. I have skills in building data-scientific models in different areas: data-mining, forecasting, natural language understanding, and others. Also, I have knowledge in Deep Learning and widely useable frameworks for neural networks like Keras, Tensorflow, Pytorch.

I can implement different models using:
- linear and logistic regression;
- neural networks;
- support vector machines;
- k-means clustering;
- anomaly detection;
- collaborative filtering to build a recommender system for movies.

I'm also familiar with such techs as Jira and Confluence. I'm looking for for a job in ML or Data Science/Data Engineering field.
I consider offers from only English speaking companies.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

SPIE Photonics West 2019 - poster presentation.
I've made a part of a research project at the DRU. My task was to investigate abilities of generative modelling of other ECG leads based on a single ECG lead record and use generated data with original record to provide better medical diagnosing: Keras,SQL,Plotly.

Social Media System for finding a useful post with helping posts •Random Forest Classifier model •Used Python as programming language•Created database with SQLite
Ambitious team
Professional growth
Flexible schedule
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper

As one of my most recent achievements, I developed a Computer Vision algorithm for the Image Similarity Estimation problem during CSC Hackathon 2023. It showed a 5-10x better error rate and 25-50x faster inference time on the competition validation dataset than the production system of Lun.
During the last term, I achieved a rate of 97%. Though I have dedicated much of my time to exploring more advanced AI materials, and grades have never been my primary goal, this high grade underlines my responsibility, time management abilities, huge interest in the field and commitment to the tasks I am assigned.
I've participated in Kaggle competitions covering Data Science, ML, NLP, CV, Data Analysis and Visualisation. I also won CSC Hackathon 2023 with the best Computer Vision solution. During those competitions I used Python, both PyTorch and TensorFlow, Async.IO, visualisation and experiment tracking tools, etc.
As a CS student I've done multiple projects, all with highest grades: desktop and web applications with C# (Database/Code-first), APIs with Python (FastAPI, ML services), TCP/IP with C++, mock DBMSs using C etc. Many can be seen in my GitHub.
I earned my first commercial experience in high school (2019) as a freelance front-end developer (HTML/CSS/JS).
I am thrilled about data, math and programming. Therefore, I am primarily looking for a Data Scientist or ML Engineer position, yet I also consider Software Developer (Python, C/C++, C#) positions. I would be grateful for an opportunity to gain new experience and grow in a collaborative environment.
Position: Data Scientist
Category: Python
Experience: 1.5 years | English: fluent


I've worked as a research assistant for Benel Labs. Developed Machine Learning Models for Downhole pressure change point prediction. Developed the mathematical framework of the project using Hidden Markov Models and coded the algorithm with python.
I'm looking to transition into a Financial Engineering role. I would like to build predictive models for the financial market.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: intermediate

Churn analysis in Kapital Bank (Baku) (10% income)
I've worked on various classification and regression tasks, clustering (including graph clustering), some recommendation projects.
Data analysis and interesting tasks.
New technologies.
Minimum of product code writing.