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

2020 – Successfully completed the training course “Satellite Data Science in Google Earth Engine” within the framework of the ongoing international project GEO-GEE “Deep Learning Methods for Land Cover and Land Use Classification” and the Copernicus Academy program
2020-2021 – Upper Intermediate English Course, ILC, Kyiv
2023 – Advanced English Course, Grade Education Centre, Kyiv
I am a fourth year Applied math student studying at NTUU "Igor Sikorsky Kyiv Polytechnic Institute".
2020 – Implementation of an independent project in the Google Earth Engine cloud platform within the framework of the ongoing international GEO-GEE project "Deep Learning Methods for Land Cover and Land Use Classification" and the Copernicus Academy
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: intermediate


I am a fourth-year student at Kyiv Polytechnic Institute. I have been interested in data science since February 2018 and I managed to take such courses as Machine Learning, Deep Learning, Ukrainian Data Science Club ML 2018 Course and others. I had a lot of experience in two hackathons. On the first one, COOLS.com eComm Hackathon, my team took second place with the project of the smart messenger bot. On the second hackathon from AI Booster, AI Spring Hackathon, my team became winners. The task was a classic problem of fraud detection – to predict fake comments.
In June-September 2018 I was working as Data Science Intern at Skein. My responsibilities were the optimization of routine processes, writing scripts, to analyze website traffic, conversions. In September 2018 I got the Data Science position in Deloitte. During this time I managed to work on three projects and managed to feel all the stages of data science development: problem formulation, data collection, data cleaning, data annotation, model selection, evaluation, model support and feature engineering. In addition to the classic tasks of machine learning, I had to work with a spark, both with such technologies of the databases as PostgreSQL, MongoDB, and with a Docker, and with Google APIs.  I wrote as my models, so I implemented ready-made/state-of-art ones. Most of my tasks were related to NLP and I have very good experience working with frameworks such as hyperopt, Keras, Tensorflow, LightGBM, CatBoost, scipy, nltk, scikit-learn, etc.
This summer I took a Deep Learning Course from deeplearning.ai and attended Lviv Data Science Summer School 2019. I had a project in the Computer Vision field: "Text detection/recognition on memes from social networks" and attended to the next courses: NLP, Deep Learning for Computer Vision, Automated Machine Learning, Bayesian Thinking for Applied Machine Learning and Machine Teaching. At the current time I am doing the research in NeuroScience field.
I am interested in Computer Vision or/and NLP.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Certificate of Completion (Artificial Intelligence Immersion) obtained from Coven works and the American Center for Artificial Intelligence.
Certificate of completion (AWS Machine Learning Foundation) obtained from Udacity and Amazon
Certificate of completion (Data Analysis with Excel) obtained from Access bank and Udacity
I am a freelance Data Scientist/Machine Learning Engineer with 2 years of experience in Data Analysis, Data Visualization, Exploratory Data Analysis, using supervised models like Linear Regression, Logistic Regression, KNearestNeighbors, support vector Machine, Decision Tree, Random Forest, and  XGBoost for classification and regression problem. I make use of deep learning models such as Convolutional Neural network for binary or multiclass image prediction, Long Short Term Memory(LSTM) for Time series prediction. I also make use of Tensorflow for Natural language processing.

Tasks completed includes but are not limited to:
Economic Analysis of speed and Delay in Auchi Township.
Gender Classification using Convolutional Neural Network
Currency prediction using Convolutional Neural Network
Wastewater Effluent classification and regression using support vector machine and K nearest neighbors
Time series forecasting using decomposition method of forecasting and multiple linear regression 
Time series forecasting using LSTM

*Programming languages and framework: Python, flask.
* Modules and libraries: Pandas, Matplotlib, Seaborn, Numpy, Scikit-learn, tensorflow-hub and lots more
* Deep learning Frameworks: TensorFlow, Keras, Pytorch 
* Cloud solutions: Google Cloud Platform, AWS, Azure. 
 * Databases and Big Data:MySQL, PostgreSQL, SQLite
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

- Supervised and Unsupervised Machine Learning 
- Time series with deep learning
- Mapping through Geopandas and ArcGIS.
I am a full-time data scientist focusing on agriculture. I have a sound knowledge of statistics and mathematics—possession of a Master's Degree in Economics in Canada. I have several professional data analytics certificates. I am also proficient in extracting data (ETL) to deploying machine learning models. Advanced knowledge of ArcGIS, Geopandas, and Folium enables me to create complex projects and give recommendations on map-based projects.

I am looking for part-time, full-time or project-based opportunities.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Among the competitions were victories at district school competitions in chemistry, math and English.
I am a highly motivated Data Scientist with a strong passion for working with data and turning it into valuable insights. My skill set includes Data Visualization, Data Exploration, Data Analysis, SQL, Python, Excel/VBA, and PowerBI.

I am adept at using SQL to extract valuable information and Python to automate processes and perform advanced analytics. Additionally, my proficiency in Excel/VBA enables me to enhance data-driven decision-making.

Not only am I technically skilled, but I am also an effective communicator. I can convey complex ideas in a clear and concise manner, fostering a data-driven culture across teams.

I am eager to contribute my expertise and collaborate on exciting projects. Let’s connect and explore ways to drive innovation together.

Looking forward to connecting with you all!
Position: Data Scientist
Category: Python
Experience: 0.5 years | English: upper

KPI Upgrade Hackathon Winner
2018 All-Ukraininan Math Olympiad between colleges 2nd place
Various ML Hackathons participant
I am a highly motivated IT programmer with a strong background in machine learning, algorithms, back-end, and front-end development. I am currently in my 5th year of studies at the Institute for Applied System Analysis, KPI on computer science, already got Bachelor's degree, where I have been honing my skills in computer science and programming.
As for my main pet project I would like to mention:

JS React univesity online app
Fake news detection with cross-checking sources
AWS Amplify/AppSync Admin Panel
Parallel Programming Course work proofing my coding and optimization skills
REST API Telegram Bot Integration with Google Sheets + AWS PostgreSQL
Django API usage for a simple pet project restaurant app with LiqPay integration.

Therefore, I have not much practical experience in every of the topic, but I believe that my understanding may help me to see a problem in a broader context and apply my skills to solve it successfully.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: upper

Imo bronze medalist.
I am a highly skilled Machine Learning Engineer with a strong academic background in mathematics, having earned a master's degree. I have extensive experience working in diverse industries such as Finance, Telecommunications, and E-commerce. With my proficiency in Data Mining, Data Visualization, Algorithms and Data Structures, I am able to deliver solutions that meet business needs effectively. I have been recognized for my excellence in national and international mathematical olympiads. Two bronze medals on IMO competition.

My most recent research work involved a Graph-based self-supervised learning approach to unsupervised anomaly detection in multivariate time series, which was carried out over a year for Huawei. In my previous work experience, I have created risk, propensity, and churn models for several financial institutions, along with performing clients segmentation and clustering. In E-commerce, I have created similar products and provided recommendations for viewed products. My proficiency lies in working with classic Machine Learning algorithms such as Logistic Regression, Decision Trees, Random Forests, Boosting, and KMeans.

As an accomplished data analyst and visualizer, I have worked with industry-standard tools like Power BI, Tableau, and more, which enables me to provide insights and key metrics to stakeholders effectively.
I'm looking for a job where I can work with a strong team and develop both professionally and personally.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

PhD in "Probability and Statistics"
Coursera certificate "Applied Machine Learning in Python"
I am a Mathematician, and I have a desire to switch my career to Data Science. Currently work as Senior Reviewer at an international company which helps students with Math tasks. Among other responsibilities, I analyse the review data.
I expect to work with data and statistics, to use various tools for establishing tendencies in data.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent

Research in biomedical CV domain.
I am an alumnus of Computer Science at  Ukrainian Catholic University with a specialization in Data Science.  My research interests lie primarily in Computer Vision, NLP and graph processing. I have a solid background in biomedical Computer Vision. I enjoy modeling challenging problems and appreciate involvement in research.
I'm looking for a product company with dynamic research processes.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: fluent

I am proud to have a bachelor's in mathematics from an American university which I believe showcases and helped to develop a strong capacity for understanding logical structures, such as those found in data science. I am also particularly proud of a project where I was tasked with creating visualizations of a data tree model to predict customer purchase trends.
I am an English native speaker, looking for work in a collaborative professional environment with room to develop. I am currently pursuing a master's degree in data analytics and have academic experience building classification and regression machine learning models and utilizing a variety of data science algorithms. Some of my completed projects are a model for predicting whether a flight will have empty seats using pandas and PySpark and I am currently working on training a model for article classification. Furthermore, I have a bachelor's degree in mathematics which allows deep understanding of the underpinnings of data science.
I would like to work in a supportive environment with room for collaboration and development. I would prefer to work in an Agile team. As someone who is pre-intermediate in Russian, I would benefit from working in an environment with many colleagues who can speak English.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

On top of the years of valuable experience that I acquired from working in academia and industry, I am most proud of my education and academic excellence as a physicist. Physics and mathematics have given me the insight to approach a problem from its fundamentals. I faced with many challenges while working on a project. I have almost ever been able to overcome these challenges hinging on the wisdom and intuition that science has given me.
I am an enthusiastic applied physicist with more than 8 years of experience in scientific project management, scientific simulation, and data analysis. 

I am an avid Python user and have developed scripts for applied mathematics, statistical data analysis, financial planning, and medical image processing. 

I am a passionate problem-solver and have a wide range of skills and interests in the use of applied science and mathematics for research and industrial problems. 

Besides, I am agile learner and hardworking with strong determination to excel in challenging projects.
My expectations for the company would be to provide a work environment in which I can contribute to the team, receive appreciation for my contributions, have job stability, and the ability to grow with the company. 

Sometimes I spend more time on challenging projects which may exceed the scheduled time frame. I expect the management to pay attention to the time and effort that I invest on that project and reasonably extend the timeframe.
Position: Data Scientist
Category: Python
Experience: 4 years | English: fluent

I have PhD in nuclear engineering, several publications, and added value in each company I have worked.
I am an experienced Data Scientist (3y+) with a Ph.D. degree in Engineering. 
I am offering:
 Prediction, clustering, and optimization (Regression, Classification, etc),
 DATA processing, mining, cleaning, and visualization,
 Automatization of repetitive processes, scripting,
 Algotrading, backtesting, financial optimization analysis.
Challenging and interesting tasks with the career growth opportunity.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Developed and engineered cutting edge solutions for production-level product, while maintain business requirements in terms of feature quality and deliver on schedule.
I am an experienced data scientist with a focus on Natural Language Processing (NLP). My background encompasses the design and implementation of machine and deep learning models, particularly in the domain of textual downstream tasks. I find great satisfaction in fine-tuning transformer-based models to achieve efficient and accurate language analysis.

My journey also includes a strong proficiency in utilizing generative AI models to tackle a wide array of challenges. I've had the privilege of working with LangChain to craft agents that facilitate natural language generation and comprehension. Through my experiences with LLMs, LangChain, and Llama Index, I've had the opportunity to create applications like chatbots for text data querying.

Prompt engineering has become a passion for me, and I possess a solid grasp of leveraging LLMs to produce engaging and informative text. While I hold these skills, I remain eager to learn and contribute more to the field.

I believe that my humble yet committed approach, combined with my technical expertise, can add significant value to any collaborative project.
Expecting healthy work environment with challenging projects, and using cutting-edge technologies.
Position: Data Scientist
Category: Data Science
Experience: 2.5 years | English: fluent


I am an experienced Data Scientist with a strong background in Python, Machine Learning, Deep Learning, and NLP. In my previous projects, I have developed and supported various AI-based pipelines that demonstrate the capabilities of NLP-related technologies mostly, but not only. I also have experience in participating in pre-sales activities, estimating development efforts, and communicating with project stakeholders and business owners.

For example, I developed an AI-based pipeline showcasing the capabilities of NLP-related technologies. The pipeline included text statistics calculation, summarization, text classification, keyword extraction, sentiment analysis, named entity recognition, and spelling correction, using  PyTorch, Tensorflow, Scikit-Learn, NLTK, SpaCy, TextBlob, Flair, Flask, and Docker.

I also was involved in building an AI platform for building chatbots, which included the development of automatic training and inference pipelines and their integration with the frontend via API, using PyTorch, Tensorflow, RASA, NLTK, SpaCy, TextBlob, Flask, and Docker.

In addition to my experience in NLP, I have also worked on computer vision and data analysis projects. For instance, I developed and supported a CV pipeline for customer support services that included image quality check, object detection, emotion detection, face detection, and face verification, using OpenCV, YOLO, MobileNet, matplotlib, and integrated with AWS. I also created a pipeline for training models and inference for a price prediction project that utilized text data such as descriptions and locations and developed an API for running inference as a 3rd party micro-service, using Pandas, Scikit-Learn, Clustering, NLTK, SpaCy, Flask, and Docker.
While I am not currently actively seeking new job opportunities and quite happy with where I’m right now, I am always interested in exploring potential roles that allow me to apply my skills and expertise in NLP primarily. If you have an opening that aligns with my skills and interests, I would be happy to hear more about it. Please feel free to contact me at any time.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: upper

Organized and built a system for predicting the company's key indicators in Fora (Fozzy Group) from the ground up.

Creation of algorithmic trading strategies; selection of optimal model parameters using parallel computations; forecasting time series with ARIMA, seasonal models; supervised predictions with lm, gam, ranger, xgboost (R). Creation of automated analytical reports system for investors (each investor has his own report) using telegram bot (with MySQL + R + Python)
I am a professional data scientist with experience in such areas as banking industry (Raiffaisen Bank Aval - PI risks), retail (Deputy head of analytics department) and financial trading (algorithmic trading start-up).
I have an experience in machine learning and econometric modelling. I love to apply my skills to solve practical tasks. To maintain my analytical skills, I constantly take additional courses and watch videos on analytical topics.
I was noted for the ability to create analytical reports, finding relations in data and programming. Creative problem-solving - that's my thing!

Programming Languages: SQL, R (dplyr, tidyr, data.table, ggplots2, forecast), Python (pandas, numpy), Java 8
Currently I'm searching for a data scientist (machine learning engineer) position in a company, where I can try my skills next to a team that shares my views and passion for analytics.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Developed and implemented databases and data collection systems using MySQL for a plastic recycling company. Exploratory data analysis of the trends in visitors and residents of a client-estate body for maximum security and tracking. Identified and interpreted interesting patterns in the estate’s traffic using Power Bi for visualization. Strong technical skills in python, and SQL.
I  am a reliable candidate ready to take on challenges in the data science  field using problem-solving
and organizational skills to help team succeed. Also looking for an opportunity to boost my career
in the Data science field. I am familiar with the use of NumPy, Pandas, Seaborn and Matplotlib in Python. I am also familiar with creating databases using SQL, Power Bi , Tableau and Microsoft Excel.
My GitHub portfolio is available on request.
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: fluent

Working on a Phd program in Taras Shevchenko National University of Kyiv, Faculty of Computer Science and Cybernetics.
I am a research driven Data Scientist, with total over 7 years of experience in analytics (mostly in big Aerospace manufacturing firms in Canada and the US). 2 years out of 7 I worked specifically in Data Science and Machine Learning. 3 years out of 7 I worked with Python.

Key experience points:
- end to end ML models development,
- innovative thinking,
- mentorship,
- leadership.

Data Science and ML projects:
- human motions classifier,
- price recommendation system,
- text classifier (NLP),
- fraud detection,
- conversations clustering.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper

I have actively participated in hackathons by Hackaton Expert group, where my innovative approach and technical prowess have consistently led to success. My hackathon journey includes significant participations such as the ER IPT HACK, where I emerged as the winner by presenting project developed in last day of the event, and the CSC Hack, where I contributed with forward-thinking ideas and effective problem-solving by presenting two projects as a finalist playing in solo.

These hackathon experiences have not only validated my skills but also fueled my passion for technological innovation, offering hands-on experience in dealing with real-world challenges.

My enthusiasm for AI extends beyond competitions. As a Student Ambassador of AI House and a dedicated member of the Student Council of Kyiv Polytechnic University, I have been instrumental in organizing AI events across Ukraine. These initiatives aim to foster a thriving AI community, encourage collaboration, and stimulate intellectual growth.

In recognition of my active leadership and subject-matter expertise, I have also been called upon to contribute to science conferences. A notable example was my role in a conference focused on "Using Chat GPT in Coding." My insights, drawn from real-world experiences and academic rigor, have helped shed light on the applications and potential of AI-driven coding practices.

Furthermore, my proactive engagement in the AI landscape in Ukraine reflects my commitment to educational growth, community building, and technological advancement. I firmly believe in sharing knowledge, nurturing talents, and collaborating with peers to drive the future of AI in our region.
I am a seasoned data scientist with a specialized focus on Computer Vision, where my passion and expertise have been honed through participation in multiple AI-oriented projects. My experience encompasses the full cycle of development and research & development (R&D), allowing me to contribute both in theory and practical implementation.

My academic pursuits have been equally robust, evidenced by the authoring of multiple bachelor's papers on cutting-edge technologies and algorithms. These scholarly works have not only enhanced my understanding of the field but have laid the groundwork for innovative thinking and problem-solving.

In addition to my work and academic achievements, I have also proven my skills and creativity in competitive environments, having emerged as a winner in various hackathons. These experiences have sharpened my collaborative abilities and fueled my desire to innovate continually.

As I look to the future, my ambition is to actively participate in startups and R&D projects. I see immense potential in contributing my skills, insights, and pioneering spirit to the next wave of technological advancements, particularly in the realm of generative AI and innovative trading systems. My vision is aligned with creating value, pushing boundaries, and engaging in meaningful projects that can shape the future of technology.