lang-uk/recruitment-dataset-candidate-profiles-english huggingface dataset:
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: upper


My background is theoretical computer science. Since 2006 I have been involved in various scientific projects involving theoretical aspects of knowledge bases as well as study and application of complex algorithms. Since 2014 I have been working as a BI analyst in an EU funded project designing and implementing complex reports. In later years I have enhanced my skills in data architecture with SQL, Spark and DynamoDB. Since 2017 I have been working as a data scientist in various companies (for details you can see my CV). I am quite familiar with various ML libraries in python. And comfortable with standard libraries like pandas, scikit-learn, numpy, mathplotlib...
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: upper


My career in Data Science began in March 2022, with the development of my own startup.
Trade-BM.ai is a fintech startup that provides automated intraday trading service in financial markets using machine learning algorithms, statistical analysis and mathematical optimization methods.

My role in this business was mainly technically oriented, namely:
- research and design trading strategies
- analysis of financial data/metrics
- creating an environment for testing trading strategies
- development of a complete infrastructure for launching trading strategies in production.

Between the main project, I worked part-time in two companies.
The first was Meest International, as a Data Analyst.
I was asked to develop ETL pipelines for automatically updating reports from Excel tables and MS SQL server to PowerBI.
I successfully coped with this task and finished working in this company in 7 months.

The second company was one of the largest commodity exchange in Ukraine.
My role as a Business Intelligence Engineer was to digitally transform some business processes of this exchange.
All the processes in which I was involved are closed for disclosure.

As for programming language, I use Python.
Python helps me implement services that use intelligent algorithms.
Python also helps me to create fast and clear MVPs for customers/partners/employers.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: fluent


My current role is a Project Coordinator at translation company. I'm a part of financial team and our duties are track the projects we receive on a daily basis, calculate costs and distribute purchase orders.
One of my latest projects was the automation to of entries that we add to the databases. To implement this, I used Python (pandas, numpy and os libraries) to manipulate datasets and numbers, as well as Bs4 and Selenium for web scraping and parsing.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Working at HPA-High Performance analytics I was responsible for all parts of the project: development, research and presentation to the customer which boosted my understanding of all important processes big time.
My Data Science experience includes working for 1,5 year on my Masters project "An automatic forecast model for time series data in industry without human supervision. First steps to a robotic approach" and an industrial internship-like project with the HPA-High Performance Analytics company in Verona, Italy. I gained skills and expertise in the problems of time series forecasting for industry (predicting sales of products in the supermar
kets based on seasonal trends), data visualization and hypothesis testing
with elements of machine learning and statistical techniques, including linear
regression, Kernel Ridge regression, Gaussian Process regression, STL and
ARIMA decomposition methodologies. Also I am familiar with the problem
of anomaly detection in the context of alarms in a huge network and genetic
algorithms for logistics problems like train scheduling with constraints.
I would like to continue my progress as a Data Scientist(I am open to the topics I already worked on and also new ones) and bring my knowledge and enthusiasm to the team.
I am flexible with my expectations and can adjust to any situation. Working in the office is slightly preferable to have more opportunities to socialize.
Position: Data Scientist
Category: Data Science
Experience: 1.5 years | English: upper


My experience 1,5 year in Fractal Analytics with CPG client as Data Scientist​.

The goal of our projects is to make sales forecast with extracting drivers decomposition for client's goods basket.
I am participating in whole data science process: data extraction, analysis, preparation, modeling, forecasting.

I use python with all data science tools to it: pandas, numpy, scikit-learn, etc.

In future I would like to grow in Deep Learning.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


My experience in project development and operations has given me a strong foundation in problem-solving and teamwork. With expertise in all stages of the project development cycle, I can contribute to the success of projects from concept to implementation. 
With my proficiency in Python, SQL, and machine learning methods, I am able to contribute positively to the team, particularly when it comes to developing and enhancing machine learning models. Additionally, my knowledge of linear algebra, statistics, and probability theory ensures that I am well-prepared to handle complex projects.


I made a project, that training Neural network, that can receive black-and-white images and return colorize images. I used the following technologies: Python, NumPy, OpenCV, Tensorflow, Matplotlib and Git.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


My experience is the Data Science Bootcamp I have completed recently. In the bootcamp projects, I have used advanced methods of sklearn, matplotlib, numpy libraries. I have built regression, classification, clustering, pca analysis, deep learning models.
- Flexible time
- Part - time
Position: Data Scientist
Category: Data Engineer
Experience: 1 years | English: fluent


My latest was a cybersecurity project. My main role was about creating dataset, cleaning and preprocessing, creating deep neural networks according to the scientific article that was used as a reference, creating and changing their architecture, training and fine tuning them. Beside that I created the plan for the further development of the ai part of that project, considered pros and cons, as well as planned ensemble of the neural networks do meet demand of the customer.
Position: Data Scientist
Category: Python
Experience: 2.5 years | English: intermediate


My name is Ivan, and I am a professional scientist. Biophysics, biotech, computational genomics with academic and for-profit experience. I have a strong background in math, physics, statistics. Also, I used to successfully solve real-life, non-routine scientific tasks in computational genomics using python and Matlab. 

Now I am diving into data science, machine learning as an attempt to a variety of real-life situations. I can analyze data, verify the hypothesis, brainstorming complex tasks. I am willing to gain new knowledge and techniques fast and precisely. I like to become a valuable and profitable player in your team.  

I am interested in a job, remote only.  Thank you.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate


My path to IT started in the 10th grade. Where I studied Pascal. The result of my efforts was a prize at the Olympics. I was most pleased with the moment when I understood how to solve a difficult problem, so I constantly tried to take on more difficult problems. Later at university I studied HTML and CSS. But due to circumstances, I was forced to leave the university and take a break from IT. Since the beginning of the war, I have had time to return to IT, which has given me so much pleasure. I decided to go into data science. In less than 3 months I mastered Statistics, Linear Algebra, SQL Python, Pandas, Numpy, Seaborn, Matplotlib, Sklearn. And soon I got my first job. At RetroStyle Games, I gained experience in extracting large volumes of data, cleaning and analyzing them. And based on this data, propose solutions. Now I know for sure that I want to develop in Data Science, I enjoyed every day at work. And I plan to become a professional from whom they will take an example.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Recently I have proven my expertise in data science by winning 1st place in HP inventory optimization challenge in HackUPC hackathon in Barcelona that had >600 participants from >22 countries
My previous work experience is 1 year in a small team working on STT and TTS (preprocessing,training, building data collection service data storage on AWS S3 )

My current position is Data Scientist in real estate company in Rome, working on data mining (Selenium), building APIs (FastAPI), OCR. Mostly ETL and a bit of inner research (matching problem)

The projects that I finished in university: image search engine on COCO dataset (Google Training Camp), Portfolio optimization on S&P500 data using "ML for Asset Managers" book by M. López de Prado, Early Exit model on caltech101 (in progress using tensorflow, Marine Image Classification (Leonardo Training Camp) - 3rd place.
The most experience in Deep Learning I had with PyTorch

I would like to continue my path in Data Science or work with Deep Learning models in NLP or Sound
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

Achieved 3'td place in IASA DS Champ, a hackathon for Ukrainian students interested in Data Science, Machine, and Deep Learning. This result was achieved by demonstrating strong skills in teamwork, machine/deep learning, data analysis, model building, and feature engineering.
My projects:
1. Exploring the Limits of Transfer Learning with T5.
Evaluated the performance of the Text-To-Text Transfer Transformer(T5) model for such NLP tasks as text summarization and question-answering. The evaluation process involved fine-tuning the model specifically for each of those tasks.

2. Arrhythmia detection.
Obtained quite-good results for the classification task of heart contractions, with an aim to detect arrhythmias, by applying the DL model.

3. Movie recommendation system.
Successfully implemented an efficient movie recommendation system, which based on collaborative filtering and SVD, can recommend you a film.

4. How to become more efficient. 
The study of the relationship between students' efficiency and factors that can negatively affect it, among which are poor sleep quality, high stress, and depression levels. 

Furthermore, I have actively contributed to an open-source project by enhancing the functionality of the computer vision library, Kornia. My specific contribution involved implementing the Random Snow data augmentation method.
As a data scientist, I expect to work on various complex business problems that will require working with large volumes of data and developing different machine or deep learning models. I am looking for a position that will allow me to work with great people and to continuously improve myself, by learning something new and by and growing in my career.
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


My recent job involves a lot of Python development, as well as computer vision algorithm development and data analysis, both tabular and imagery. I am proficient in using such Python libraries as numpy, pandas, scikit-learn, etc., SQL queries (PostgreSQL). I am also specialized in working with geodata and special libraries, image processing and Python programming. Our development and product process also involves Docker, Jenkins, AWS service usages, which I have worked with a lot over the past 2 years.
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: intermediate


My technical skills include knowledge of python libraries for data science: numpy, scipy, matplotlib, pandas, scikit-learn, opencv etc;
Also I have big experience with implementing object detection, image classification projects, using deep learning frameworks and classic computer vision techniques.

A few of my projects you can see on my github page
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: upper


My work experience
-Regex parsing text files/google sheets parsing(Python, os, re, google sheets API
-Made Python programs from scratch for Windows and Mac(.exe/.app) for doctors to work with 
medical statistics(tkinter, Oracle VM VirtualBox, pyinstaller, py2app)
-Maintained the database(Git, GitLab, NoSQL
-Communicated with the multi-language team
-The team leader of the Bayesian networks team (10 people in the team) / mentor for two people
-Helped/checked doctors with medical statistics
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: intermediate

Winner of Olympiads in the field of mathematics and programming, participant in various competitions, including the Minor Academy of Sciences of Ukraine, and All-Ukrainian competitions

In her student years, she took part in all possible competitions and often won, including in programming and mathematics
National Technical University of Ukraine Kyiv Polytechnic Institute
Faculty of Informatics and Computer Science
Prize-winner of the All-Ukrainian Stage of the Small Academy of Sciences & regional mathematics Olympiad and participant of the All-Ukrainian
2 years of teaching mathematics, including higher 
In groups and individual classes
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: fluent

Semifinalist of Ukrainian startup competition
Winner of 1991 Hackathon, Resident of 1991 Open Data Incubator.
Research work was scored 25.94/30.0 by Zavtra.UA experts.

Successful internship in Big 4
A graduate of 5 PM, Entrepreneurship and Tech educational programs of lead Ukrainian and international companies.

Government Scholarship holder, Data Science Masters` program
Natural Language Processing
Social Network Analysis
Data Visualization
Cutting edge tech projects
Position: Data Scientist
Category: Data Science
Experience: 3 years | English: intermediate

I am a Data Scientist with Data Engineer skills from Belarus, currently based 
in Spain (Vigo).
I have more than 3 years of experience in commercial projects.   
Systems that I have programmed: Computer Vision, Telegram Bot, Scraping, 
Time Series Forecasting, Recommendation System, API Services, ETL Airflow, 
User Management Automatization Tools.
Domain expertise: e-commerce, trading, FMSG, industrial automation, iGaming.
NewAgeSol, Kyiv    |  iGaming, trading  |    Data Engineer
- full cycle from research to writing the service ALS / LightFM recommendation system
- manager automatization tool for database users Postgres/ClickHouse
- optimization and creation of Airflow Dags that solve ETL-tasks, data quality
- checks, data cleaning, as well as host maintenance and Airflow configuration
- optimization of the data storage system and reporting in Postgres, query optimization, setting database parameters, setting up logical replications and DMS
- tuning alert and monitoring system RDS and self-hosted databases
- creation of dashboards in the Metabase as analytical and search tools
- took part in writing Python services that read and process data from Kafka,
  process API requests, transport, process and verify data | Python, SQL, Bash,   
  Kafka, Postgres, ClickHouse, Redis, Elasticsearch, Airflow, Fastapi, Uvicorn, Faust, 
  Pandas, Numpy, SciPy,  Implicit, LightFM

Freelance    |  Industrial Automation  |  outsource
- build real-time registration system with auto detect QR-codes from video
  cameras and hand   detector for scanner. Results contains in db and display in  
  GUI | Python, OpenCV, Numpy, Pillow, Pyzbar, MySQL

Data Forest, Kyiv    |  Software Development  |    Data Scientist    |  house/office
- build real-time counting system of unique people with client on Jetson Nano for
  computer vision and server for db and GUI |  Python, OpenCV, FFmpeg, Yolo,    
  DeepSORT,   OpenDataCam, Mongo, PostgreSQL, Docker
- develop face recognition functional like part of PACS |  Python, OpenCV, face
  recognition
- predict   drug   sales   based   on   historical   data |  Python, Pandas, Scikit-learn,  SARIMA, Fbprophet, LSTM

Incoinwetrust, Almaty    |  Trading  |    Software Engineer    |  outsource
- take part of developing trading bot. Testing hypotheses for predicting bitcoin on
  historical data |  Python, Pandas, Matplotlib, Plotly, Bitmex, Binance api
- create a telegram bot for notification |  Python, Python-telegram-bot

Casemarket, Minsk    |  E-commerce  |    CEO, CTO    |  house/office
- administer the online and retail stores | Linux, MySQL
- interviews, team building
- financial and accounting reporting
- build system for auto categorization of goods based on names, searching photos,
  generate metatags | Python, Pandas, NLTK, MySQL
Position: Data Scientist
Category: Data Science
Experience: 1 years | English: fluent

Achieved F2 score of 0.68 in Airbus Ship Detection Competition
Winner of various CS and Math competitions (2016 - 2020)
Member of the national Ukrainian Team on RMM 2020 (2nd place)
TOEFL C1 Certificate
NewsNet 
- Wrote a program that generates news headlines
- Wrote and trained a Transformer Neural Network that generates new symbols based on the previous 8 symbols
- Trained the network on a dataset of news headlines


Handwriting recognition
- Wrote a program that transforms an image with text into a PDF document
- Wrote and trained a Convolutional Neural Network that recognizes handwritten English letters
- Wrote a module that detects letters on a photo and arranges them in a readable order


PacMan 
- Wrote a basic imitation of the classic PacMan game using C++ 
- Wrote an algorithm for random-level generating
- Using algorithms like BFS and A* wrote a basic AI for enemies
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent

Participant of the teem - National grant winner with ML model research of budget analysis
IELTS C1
Ph.D.
NLP:
- Q&A chatbot development
- fine-tuning of the NLP models;
- semantic search;

Uplift modeling:
- predicting the result of communication with customer;

Classification:
- Churn prediction;
- Time series classification;

Clusterization:
- Customer base clustering based on transaction data;
- Product2vec clustering; 

Regression:
- Demand forecast for goods;
- Delivery time prediction;
- Customer survival analysis;

Recommendation systems:
- Conditional effect treatment modeling (uplift);
- Products recommendation system;

Computer vision:
- price detection and recognition;
- Bar code detector;

MLOps:
- Terraform for IaC building;
- creating CI\CD pipelines for deployment into different environments;
Seeking a role to make a difference, where I can abide in my passion for the community by creating, evolving, maintaining, and ultimately revealing meaningful insights that support and validate the relevant data-driven change. To satisfy my curiosity and challenge myself by using my multi-disciplinary background to implement scalable ML models, statistical analysis, and beautiful visual assessments.
Position: Data Scientist
Category: Data Science
Experience: 7 years | English: intermediate

I have experience in developing services from business problem to production-ready solution.
Also have experience of successful work as a single DS.
- NLP tasks and researches,
- Forecasting in online advertising (RTB systems),
- User profiling (gender/age forcasting by user behaviour) ,
- Medical statistics (don't like it),
- Business metrics forecasting and monitoring systems,
- Recommender systems,
- Participated in infrastructure tasks (Gitlab-ci, Airflow, Kuber, Grafana)
I am looking for a strong team in which I could grow as a specialist.
User behaviour, time series and NLP tasks are a priority but any interesting project is welcome. Also I would like to work with transfer learning.
Position: Data Scientist
Category: Data Science
Experience: 5 years | English: fluent


NLP, text-mining, optimization problems, time-series forecasting, time-series classification
Position: Data Scientist
Category: Data Science
Experience: 2 years | English: fluent


Noble Scripts, Yerevan, Armenia - Data Scientist
Jan 2021 – ongoing
Main activities and responsibilities:
- Research existing ML/AI algorithms and best practices in the field 
- Read / interpret and implement scientific papers 
- Apply mathematical and statistical theories and techniques to solve problems 
- Build/implement predictive models and machine-learning / AI algorithms 
- Modify and combine different models through ensemble modeling 
- Process, clean, and store data 
- Perform preprocessing and analysis of structured and unstructured data 
- Identify data patterns and trends 
- Propose solutions and strategies to existing challenges 
- Present information using data visualization techniques and dashboards 
- Collaborate with the IT team, partners, and the project manager to meet project goals

Safe YOU Yerevan, Armenia - Contract, Data Scientist
Nov 2021 – Dec 2021
Main activities and responsibilities:
Main project: Data Analysis, Dashboard
Main activities and responsibilities:
- Retrieve data from databases
- Analysis, Visualizations
- Dashboard
Main tools: Python, SQL, DASH

I have studied Data Science for 4 years at the American University of Armenia, during which I had a lot of projects from different fields.
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper


No commercial experience. 
Some of my projects:
* Neural networks constructor using only numpy (keep on working)
    - improvement of Python, numpy and 
    general development skills
    - knowledge of machine learning theory and 
    mathematics behind ML
    - MLP and CNN architectures for regression and 
    classification are already implemented
    - currently working on LSTM architecture for 
    sequences of data (time series, text, video, etc)
    - Jupyter Notebook, matplotlib and pandas for testing

* Forecasting geomagnetic indices 
    - data preprocessing and visualization
    - statistical, correlation and regression analysis
    - building a regression model for forecasting and 
    evaluating it

* Basic kaggle competitions
Position: Data Scientist
Category: Data Science
Experience: 0 years | English: upper

I have completed several important courses on such topics as OOP, algorithms and data structures, different python modules etc. Besides, I have stong knowledge in different areas of mathematics, including linear algebra, calculus, statistics and numerical methods.
No previous commercial working experience. I have only participated in a few successfully graded University projects. The goal of our latest project, for instance, was to create a desktop application to visualize different surfaces, planes and curves in 3D space.
Position: Data Scientist
Category: Data Science
Experience: 0.5 years | English: upper


No relative full-time experience, but advanced theoretical knowledge, building models experience and experience with pet-projects