Candidates 11
$2700 / mo
≈ $32400 / year net
Software Engineer
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
Ukraine · 3 years of experience · Upper-Intermediate ·Published yesterday
1. eCommerce solution.
Implemented several features to allow customers use Point of sale credit (payment method) in online store, improved credit eligibility application journeys. Fixed bugs. Provided small enhancements. Implemented unit, integration, pact tests.
2. Digital hubs management system.
Migrated code for all endpoints related to hubs from .NET C# to Java. The main difficulty was that the code was written very poorly, because of this I was able to increase the ability to understand such very bad code.
3. Digital assets management system.
Implemented a feature to search for digital assets IDs based on provided .xls file with links to digital assets (Backend and UI) which made it easier and faster for users to search for required digital assets. Migrated SOAP endpoints to REST in aim to make the API of the system uniform and lightweight. Covered most of the code I added with unit and functional tests. Provided small improvements like disabling Postman in production.
Technologies: Java, Kotlin, JavaScript, Spring Framework, GCP, Kafka, Git, Docker, Maven, Gradle, SQL, JDBC, JOOQ, Mockito, REST API, Jira.
Current role: Java developer, an eCommerce platform researcher.
Want to develop comprehensively back-end skills from databases to cloud.
Participated in mentoring Java preproduction students.
Passed GCP PCD exam on the first try.
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · Kharkiv · 3 years of experience · Upper-Intermediate ·Published 15 April · In passive search
Ukraine · Kharkiv · 3 years of experience · Upper-Intermediate ·Published 15 April · In passive search
$2500 / mo
≈ $30000 / year net
Developer Python Parsing
Ukraine · 3 years of experience · Beginner/Elementary ·Published 14 April
Ukraine · 3 years of experience · Beginner/Elementary ·Published 14 April
mysql, postgres, mongodb, sqlite, sqlalchemy
Flask, Django, Django-Admin castom
TelegramBot api
XML, JSON
Django Rest Framework
Flask rest API
docker-compose
google sheet API
pandas
$2500 / mo
≈ $30000 / year net
Data Scientist
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 12 April · In passive search
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 12 April · In passive search
•Has been working with Pepsi (PBNA) during a considerable period of time. Developing multiple models across several categories and in 5 different divisions.
•Data analysis & pre-processing, creating required features for the modelling along with doing exploratory data research, creating a statistical model in python and fine tuning it.
•Contributed to deriving insights from the final result set and communicating the same internally and to client.
•Some Data Engineering in Google Cloud environment, in particular experience with BigQuery.
- An online course on Natural Language Processing with Classification and Vector Spaces by
DeepLearning.AI.
- An online course on Econometrics by Coursera.
Курс від Sigma:
An online course on Python programming. Intensive by Sigma Software University.
Результатом проходження курсу є:
A web application dedicated to collecting and analyzing the data retrieved from the Alpha Vantage resource with extensive graphical display functions (graphs, tables, etc.) powered by DASH Framework.
А також проходження курсу Data Science Fundamentals by DataRoot Labs.
$1200 / mo
≈ $14400 / year net
Machine Learning Engineer
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 11 April · In passive search
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 11 April · In passive search
Technologies used:
Python
Pytorch
TensorFlow
Google Colab
Amazon S3, EC2
LSTM
CNNs
CLIP
VQGAN
Dall-E mini
Diffusion models
Responsibilities:
Collection, cleaning, processing and analysis of new and existing data sources
Model architecture selection and model training
Work results presentation
Training project on .Net platform
Technologies used:
C# programming language,
ASP.NET Core,
LINQ to SQL,
MS SQL Server,
HTML,
CSS,
JavaScript.
Responsibilities:
Developing functionality,
Participating in code review.
Master thesis: Action recognition in sports videos
Technologies used:
Python programming language,
Tensorflow,
Numpy,
Recurrent neural networks,
Convolutional neural networks
Responsibilities:
Data processing (Data augmentation, Dealing with class imbalance)
Build and train models for action recognition in sports videos,
Assess quality of models
Graduate work: Time series forecasting with neural network and statistical methods
Technologies used:
Python programming language,
Tensorflow,
Pandas,
Numpy,
Matplotlib,
scikit-learn,
Responsibilities:
Building a model,
Data processing,
Model's quality estimation
$700 / mo
≈ $8400 / year net
Data analyst
Ukraine · 3 years of experience · Intermediate ·Published 8 April
Ukraine · 3 years of experience · Intermediate ·Published 8 April
(particularly in print design). In my work, I enjoy combining analytical skills and experience with
love for quality information visualization. I’m a team player and work well in a group, but also thrive
working remotely.
COMPUTER SKILLS:
Microsoft Excel (high level skills)
MySQL (studied the course, but no practical experience)
Tableau (studied the course, but no practical experience)
Adobe Photoshop
Adobe Illustrator
Adobe InDesign
CERTIFICATES :
«SOFTWARE TESTING» course by Sigma Software University
Certificate №sswu22072022-43
( 22.07.2022 )
$2100 / mo
≈ $25200 / year net
Data Scientist / Machine Learning Specialist
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
I've a good soft skills and extensive experience in communication with representatives of business, administrative institutions, science, as well as ordinary employees and top managers of companies working in various fields and areas.
Extensive experience in working with data and machine learning, as well as practical analysis of business processes and projects allow me the following:
• to design and implement data models in Python with Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, etc.
• to work effectively with machine learning models (data preprocessing, regression, classification, clustering, learning association rules, reinforcement learning, natural language processing, deep learning, dimensional reduction, model selection and upgrade, etc.)
• to find creative solutions to deep/machine learning problems
• to develop visions and concepts of technological solutions
• to develop effective technological approaches, models and methods
• to manage, optimize and evaluate business processes and projects
• to develop financial and economic models
The knowledge and experience gained over the years of work help me to freely navigate in various business systems and quickly find effective solutions to complex problems, as well as to propose, substantiate and develop the methods and technologies for their implementation.
The main goal that I set myself when solving a problem is to implement an integrated approach from concept development to a real product that “can be felt with my hands”.
With the ability and skills to achieve the goals on my own, I mostly consider myself as a team player
Data science and machine learning: Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, Flask, Flask extensions, Requests, BeautifulSoup / CNN, RNN, GAN, AIS, DarkNet, MIDAS, YOLO, UNET, (S)ARIMA, BERT, Transformers, LSTM
Business analysis
Both waterfall and Agile: SAFe, Scrum and Kanban
Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence
All around Understanding of SDLC, XML, SQL, BPMN, UML notation and CASE- tools, UX/UI design, API, BDD + Gherkin, Web
Skills of converting business visions to POCs' & MVPs' scopes
Able to work with large volumes of information
ANN, CNN, RNN,GAN, UNet, DarkNet, AIS, MIDAS, DarkNet, NLP, (S)ARIMA, OpenCV, BERT, Transformers, LSTM-RNN,,etc.
Collect, analyze, and visualize data
$4000 / mo
≈ $48000 / year net
Data Scientist/CV Engineer/ML Engineer
Ukraine · 4 years of experience · Upper-Intermediate ·Published 28 March · In passive search
Ukraine · 4 years of experience · Upper-Intermediate ·Published 28 March · In passive search
Financial reporting.
Responsibilities:
- Continuous interaction with the Quality Assurance, Business Analytics teams, and Product Management to design, build, and test systems.
- Working with multiple teams and clients through Jira.
- Development of financial software to facilitate treasury operations.
- Designing, planning, and overseeing major new enhancements to existing systems.
- Development enhancements, fixes, and tests.
- Designs and codes review.
- Analysis of defects and coordination of the development of fixes.
Managers approved the initiative to develop additional software to automate the workflow. At the moment I am engaged in the development of this software.
2. Data Scientist
The freelance project is oriented on US Health insurance.
Responsibilities:
- Analysis and visualization of dataset.
- Determination of an approach based on analysis results.
- Maintainance of NLP libraries and tools.
- Preprocessing of text data for NLP use.
- Development and evaluation of NLP systems for various applications.
- Improvement of NLP model performance as required.
- NLP research.
Working with numpy, pandas, matplotlib, seaborn, re, nltk, spacy, negspacy, medspacy, sklearn, top2vec, gensim, transformers.
3. Machine Learning Engineer, co-creator
I am the co-creator of this startup, working as a machine learning engineer. The project is to provide retail stores with a system for detecting shoplifters.
A group of enterprising students decided to organize a team to create something new and unique in the market. From the very beginning, I was involved in the development of the system from the machine learning side. I conducted an in-depth analysis of the task; found a suitable dataset, preprocessed it to a suitable form; found, built, trained, and tested the model, which showed a high result.
4. Junior Data Analyst
The project is a video streaming platform for VR.
Responsibilities:
1) Data processing:
- getting data from the database using SQL (PostgreSQL, MongoDB);
- data analysis, data converting into the format required for further work (Python).
2) Data visualization:
- creating scatter plots, bar charts, line charts, pie charts, maps, and tree maps (Tableau);
- creating any kind of tables (Tableau).
3) Searching and eliminating defects in the database.
4) Creating dashboards and reports in Tableau (actualization, optimization, upgrade).
5) Supplying up-to-date information on required issues.
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 29 February
Ukraine · Kharkiv · 2 years of experience · Upper-Intermediate ·Published 29 February
1.While working on a project for American clients, I developed a system for matching a user's action on the global network into separate user sessions. This solution was based on a set of heuristics, enhanced with machine learning techniques, including the use of deep learning (DL). As a result, we achieved a 20% improvement in the quality of session creation.
2) Data Scientist / ML Engineer for GetGrant | Remote, Lviv, Ukraine | 07/2022 - 01/2024
GetGrant - funding search service to businesses and researchers.
1. Developed from scratch a data collection system to provide service operations. Now our database contains about 4,000 active grants each month. I accomplished this using Python (Requests, Selenium, Playwright, bs4), then deployed the code on Google Cloud Platform and automated the system launches.
2. Enhanced the data collection system with a feature for filling gaps in collected data, significantly improving the quality of data and enabled the implementation of a grant search system with filters. For this system, I utilized a comprehensive stack of ML NLP technologies, ranging from creating if/else systems, Word2Vec, TD-IDF to models for classification, embedding generation, and questing answering, implemented using Transformer.
3. Improved the performance of our service's main search model, based on BERT technology, increasing the conversion rate to our business's additional services by 20%, thereby boosting overall profit.
4. Developed a system for enhancing/paraphrasing user search queries, improving user experience and boosting our key metrics. It is implemented based on Transformer and deployed as a web service on GCP using FastAPI.
5. Developed a system for assessing the quality of grant proposals based on a metric system I created, evaluated using GPT-4 and the OpenAI API.
6. Led a data labeling team of three people during the development of the system for filling data gaps. Gained proficiency in using Label Studio during this time.
3) DESY Winter School 2023 | Remote, Hamburg, Germany | 01/2023 - 03/2023
Study on the use of a Transformer neural network in the detection of tau leptons during a LHC reaction.
I gained a low-level understanding of the principles of the Transformer architecture (by creating a neural network from scratch using PyTorch), as well as working experience with remote servers using the terminal.
$4500 / mo
≈ $54000 / year net
Data Engineer
Ukraine · 4 years of experience · Intermediate ·Published 28 February · In passive search
Ukraine · 4 years of experience · Intermediate ·Published 28 February · In passive search
Python, Django, django-rest framework, PySpark, ETL, pandas, scikit-learn, Postgres, MySql
Machine learning algorithms(linear, logistic regression, decision trees, etc.)
Linux, bash, Docker, CI/CD, Jenkins
General responsibilities:
tech-group lead, code-review, knowledge management
- 1(current)
- 2