Candidates 4
$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
$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.
$600 / mo
≈ $7200 / year net
Data scientist
Ukraine · Kharkiv · 1 year of experience · Intermediate ·Published 28 February
Ukraine · Kharkiv · 1 year of experience · Intermediate ·Published 28 February
With a specialist's degree in Mathematics and Computer Sciences,
I have a solid foundation in the theoretical aspects of computer science, linear algebra, statistic including problem-solving, critical thinking, and algorithmic design. I possess strong communication skills, teamwork, which allow me to work well with others and effectively manage projects.
Well-organized working process is important for me.
I would like to have an opportunity for learning computer vision. Its the most desirable and main goal of my life!