Candidates 8
$600 / mo
≈ $7200 / year net
Junior Data Analyst
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 16 April
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 16 April
$4500 / mo
≈ $54000 / year net
Data Scientist
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
Ukraine · Odesa · 8 years of experience · Advanced/Fluent ·Published 10 April
7 years of experience with Data Science / Machine Learning;
Commercial experience with: time series, tabular, automated trading systems, signal processing, clustering, NLP, big data, computer vision
Target locking and tracking with computer vision (opencv, numpy);
FPV target acquisition simulation using visual trainer game;
Sounds source localization using microphone array (Python, C++);
Loitering projectile telemetry processing (Python, SciPy).
$1000 / mo
≈ $12000 / year net
Computer Vision Engineer, AI Engineer, Data scientist
Ukraine · Odesa · 1.5 years of experience · Upper-Intermediate ·Published 10 April
Ukraine · Odesa · 1.5 years of experience · Upper-Intermediate ·Published 10 April
Intern in the development of neural networks University of Artificial Intelligence
February 2021 г. - February 2022 г.
Was one of the developers of neural network modules
demo.neural-university.ru
2nd place in the finals of the hackathon "Digital Breakthrough 2021"
December 2021
Created a model for the recognition and detection of leaks from oil pipelines
3rd place in the team in the hackathon Leaders of Digital Transformation 2021
October 2021 - November 2021
The task of detecting paths in an urban environment.
Created a segmentation model
17th in the individual competition "Digital Breakthrough Championship"
July 2021 - August 2021
Task: Recognition of aircraft on satellite images.
Used data processing, image augmentation, binary classification of images.
PHP Developer
January 2005 - July 2021
Mostly remote work for different companies creating web projects
Prizes at machine learning and computer vision hackathons
Interesting tasks that require artificial intelligence
$600 / mo
≈ $7200 / year net
Data Analyst, Data Scientist
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 9 April
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 9 April
Intern at National Bank of Ukraine(NBU) | September 2023 - December 2023. During this internship I used Python to automate data cleaning, data transformation of survey data of different banks.
Education:
Third-year student, pursuing International Economics degree in Odesa Mechnikov National University.
Skills:
-Strong grasp on Python;
-Strong grasp on SQL(data retrieval and manipulation);
-Understanding of GIT;
-Linux experience;
-Math skills(Calculus, Linear Algebra, Statistics, Probability Theory);
-Upper-Intermediate English;
-Independent, flexible, attentive to details, fast learner.
$2400 / mo
≈ $28800 / year net
Data Scientist
Ukraine · Odesa · 2.5 years of experience · Advanced/Fluent ·Published 7 April
Ukraine · Odesa · 2.5 years of experience · Advanced/Fluent ·Published 7 April
Overall: 5+ years of python experience with various sql-databases, mainly PostgreSQL. Major experience with linux+mongo, AWS S3.
I'm always looking forward to learn something new, especially in data-oriented fields.
Engineered robust data processing pipelines tailored to diverse model requirements, ensuring seamless integration and efficiency.
Successfully designed, developed, and deployed cutting-edge models for both topic generation and detection, sentiment prediction, text modelling etc. enhancing overall organizational capabilities. All accomplishments were specifically tailored to meet the unique needs of VOC (Voice of the Customer) structures.
Spearheaded the creation of an automated graph generator/builder, streamlining data visualization processes and enhancing the efficiency of information dissemination.
Pioneered the development of a semistochastic data predictor, employing advanced statistical methodologies to achieve more accurate and insightful predictions.
Consecutive top-5 placements at all-Ukrainian math olympics, masters diploma with honors in computer science degree.
$1200 / mo
≈ $14400 / year net
Technical Support Engineer
Ukraine · Odesa · 2 years of experience · Upper-Intermediate ·Published 28 March
Ukraine · Odesa · 2 years of experience · Upper-Intermediate ·Published 28 March
Namecheap (2 years)
- Assisted Customer Support Representatives and clients in English in tickets and chats in Kayako (similar to HelpDesk) with more than 4800 successfully resolved cases.
- Configured and troubleshooted DNS, email, SSH, FTP, SSL, iptables, CSF, and other services with a positive feedback rate above average in the company.
- Resolved hosting and website technical issues on shared, VPS, and dedicated servers with WHM and cPanel with CentOS.
- Worked with MariaDB and MySQL relational databases directly.
- Utilized simple ELK stack operations for effective troubleshooting.
- 2 times chosen as the leader for team projects during courses.
- I look forward to contributing my skills and expertise while continuously learning from talented colleagues.
- A supportive atmosphere that values creativity, embraces diversity, and fosters a sense of community is essential.
- I am excited about opportunities to make meaningful contributions, tackle challenges, and positively impact the organization's mission and vision.
$500 / mo
≈ $6000 / year net
Junior Data Scientist
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 2 March
Ukraine · Odesa · No experience · Upper-Intermediate ·Published 2 March
• “Spacer”
Replaces people on the video with images of space in real-time. For this project I had to implement and train U-Net model from scratch.
Tech stack: PyTorch, OpenCV, NumPy, Pandas.
• "Avtobazar web parser"
Gathers the data about cars that are being sold (price, location, color etc.) from popular Ukrainian car marketplace.
This project consisted of two stages:
1. Gathering the data with self-programmed web parser.
2. Cleaning the data to be suitable for analysis.
Tech stack: BeautifulSoup, Requests, Asyncio, Aiohttp, Pandas, NumPy, Googlesearch, Translate.
• “Fake News detector”
The project aimed to train LLM (RoBERTa) to recognize unreliable (fake) texts. My work consisted of selecting a model for classification, data cleaning, and fine-tuning the model (writing scripts for fitting, validation, training, visualization of results, etc.).
Tech stack: PyTorch, Transformers, Pandas, NumPy.
Have experience with:
- Python (NumPy, Scikit-learn, Pytorch, matplotlib, etc.).
- Handling relational database management systems, such as MySQL.
- Version control tools, such as Git.
- Graduation with honors from ML course, Hillel IT School.
- English language proficiency level: high B2 - C1.
- Solid theoretical understanding of ML algorithms.
- Good knowledge of calculus, linear algebra, probability theory, and statistics.
$5000 / mo
≈ $60000 / year net
Machine Learning Engineer
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 27 February
Ukraine · Odesa · 6 years of experience · Upper-Intermediate ·Published 27 February
The biggest part of my work was done in the field of CV. The performance and the size of DL models have always been the most important part.
Developed segmentation, classification, and object detection solutions for PDF Expert and ScannerPro, which run in production. One of the key ScannerPro algorithms was reinvented by my initiative. Also custom lightweight YOLO-like and UNet-like models were built from scratch using Keras. Another big task was to reinvent the pen-annotation tool algorithm for PDF Expert using computational geometry. Additionally, I conducted research in the field of NLP for Spark. Read DL course for Readdle employees.
Freelance project, December 2017 — February 2018
Implemented approach from “Attention is all you need” for machine translation using numpy and tensorflow, as a part of the project for translation web-service.
Autobrains.ai — Deep Learning Engineer, January 2022 — July 2023
Implemented from scratch SOTA lane detection algorithm(2105.13680) using PyTorch.
As a part of the object detection team, trained and evaluated models for different object detection tasks on a daily basis.
Implemented solution for sub-classification task on the intersection of classification, object detection, and transfer learning fields.
Work on an internal auto-labeling tool using big object detection networks, transfer learning and custom approaches for 3D configuration detection of vehicles. Worked with mmdetection.
I have BS and MS degrees in applied physics and math.
- Created a detection algorithm for the PDFExpert macOS app with 100% accuracy.
- Created a custom object detection solution that meets KPIs even with a very small dataset for an autonomous vehicle task.
- Implemented the "Attention Is All You Need" paper for a freelance project back in 2017.