Candidates 268
$2700 / mo
≈ $32400 / year net
Full Stack Python Engineer
Ukraine · 2 years of experience · Advanced/Fluent ·Published today
Ukraine · 2 years of experience · Advanced/Fluent ·Published today
I develop Django, Flask, and FastAPI applications using MySQL, SQLite, and PostgreSQL databases. I containerize applications using Docker, integrate messaging services with RabbitMQ, and manage the state with Redis. Additionally, I work with Hugging Face and AI technologies for web applications and Chrome extensions.
I started my career as an English teacher with the C1 level of knowledge, thus it is a piece of cake for me to create comprehensive guides, write documentation, and communicate within a multicultural team.
My Spanish language knowledge and soft skills help me to share knowledge, mentor, and bring new tools, such as Airtable for use in a team. I also wrote custom scripts to simplify the repetitive tasks for team members not familiar with code - for instance, reports gathering which previously took 3 hours per day, and email automation.
I have automated the email message sending and integrated a script with Google Sheets for automated reporting which took 3 hours per day before my improvement while mentoring a teammate from Argentina.
I have learned how to use Airtable API and created a guide for teammates along the way in just 3 days.
I have learned Python from scratch in 2 months along full-time job as a Test Engineer while being a top performer.
I have created and dockerized a Django, MySQL, and RabbitMQ application in 2 days without previous experience with RabbitMQ.
I have created a Django WebSocket React chat app with JWT tokens authentication in 4 days.
I have worked with AI for web development and Chrome extension.
Not interested in companies using employee monitoring software.
$600 / mo
≈ $7200 / year net
Machine Learning Engineer
Ukraine · Rivne · 1 year of experience · Intermediate ·Published yesterday
Ukraine · Rivne · 1 year of experience · Intermediate ·Published yesterday
1) Implemented various data structures using C++.
2) Implemented various cryptographic primitives and algorithms using C++ and Golang.
3) Developed desktop applications using Qt, QML, and C++.
4) Created and tested smart contracts in Solidity and JavaScript.
5) Conducted unit testing in C++, Golang, and Python.
6) Developed a decentralized application using Solidity, Vue, and Quasar.
7) Created interactive chats using client-server architecture with proxy servers based on C++ and JavaScript.
8) Modified Bitcoin Core source code as a fork in C++ to introduce innovative methods for ensuring private data anchoring to time based on ECDSA and Schnorr digital signatures.
9) Developed a decentralized voting system based on the Aleo blockchain.
10) Built applications using React, Python (FastAPI), and Docker.
11) Implemented various Computer Vision and Natural Language Processing tasks using classical and deep machine learning algorithms with Python, scikit-learn, and TensorFlow.
Current role.
I have four months of commercial development experience as an Intern C++ Developer at Apriorit and six months as an Intern Blockchain Developer at Distributed Lab. Currently, I am not employed commercially. Recently, I participated in a team-based charity project aimed at creating a comprehensive platform for animal shelters.
In the recent charity project, I was responsible for:
1) Front-End (React).
2) Back-End (Python and FastAPI).
3) DevOps (Docker, Nginx, and Bash).
4) Platform security (password hashing with SHA-256 and "salt", personal data encryption with AES, JWT for API protection, CORS, frontend redirection, etc.)
5) Hosting and domain setup (Namecheap, Heroku, and DigitalOcean).
6) Integration of AI into the application (dog and cat image recognition using a transformer neural network from Hugging Face).
I aspire to evolve as a Machine Learning Engineer.
2) Developed a custom smart contract for decentralized voting and deployed it on the Ethereum network.
3) Implemented an innovative method for ensuring private data anchoring to time in Bitcoin by embedding data into ECDSA and Schnorr digital signatures. The project was realized as a modified fork.
4) Developed a decentralized voting system based on zero-knowledge proofs and the Aleo blockchain. Utilized React, Python, FastAPI, Docker, and the Leo language for creating the Aleo program.
5) Effectively applied convolutional neural networks in natural language processing tasks.
For me, the principle of "company for people" is paramount, rather than "people for the company". I believe in fostering a friendly and open atmosphere within the company, where individuals feel comfortable approaching others for advice or assistance without hesitation. Collaboration and support are key to success, ensuring that no one feels isolated.
$500 / mo
≈ $6000 / year net
Full Stack Web Developer
Ukraine · 1 year of experience · Upper-Intermediate ·Published yesterday
Ukraine · 1 year of experience · Upper-Intermediate ·Published yesterday
$800 / mo
≈ $9600 / year net
Python Developer
Ukraine · 1 year of experience · Intermediate ·Published yesterday
Ukraine · 1 year of experience · Intermediate ·Published yesterday
- Web-Scraping, написання парсерів (Python/requests/BeautifulSoup/Selenium/Xpath/Regular Expressions);
- збір і обробка данних;
- OCR, розпізнавання тексту;
- автоматизація рутинних задач в Excel/Google Sheet.
- створив скрипт для перевірки переліку деталей та собівартості виробів (Excel VBA)
- автоматизував розрахунок калькуляцій часу (Python)
- написав макрос для пакетного створення dxf-розгорток з 3D-сборок з указанням кількості, матеріалу і товщини (Solidworks VBA)
Особисті якості:
- дисциплінованість, посидючість, уважність до дрібниць;
- здатність швидко навчатися, любов до освоєння нових технологій, бажання розвиватися та підвищувати свій кваліфікаційний рівень;
- здібність з інтересом виконувати як рутинні, так і креативні задачі;
- стресостійкість, комунікативність, неконфліктність;
- уміння працювати в режимі багатозадачності та робота на результат.
$800 / mo
≈ $9600 / year net
Data Scientist
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published 25 April
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published 25 April
$1500 / mo
≈ $18000 / year net
Data Scientist
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 25 April
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 25 April
SQL, R, MS Office, KNIME, Power BI, Python.
Data analyst at TK Laser:
As a skilled data analyst with experience in Google Analytics, Google Sheets, and Python coding, I offer a unique combination of technical and analytical expertise. I have a proven track record of using Google Analytics to extract insights and improve website performance. Additionally, I have experience using Google Sheets for data analysis and manipulation, as well as Python coding in Colaboratory to automate repetitive tasks and build data pipelines. I possess strong problem-solving and communication skills, and am dedicated to delivering high-quality results on time. I am confident that my technical abilities and analytical mindset make me a valuable asset to any team
Data analyst at ROZETKA:
The main tasks were importing, validating, cleaning, transforming, validating, modeling or interpreting data collections in relation to the company's business objectives. Used different algorithms and IT tools depending on the situation and current data. The main program was KNIME and Excel.
I have a master's degree in Economic Cybernetics. Also I have profile certificates on Coursera. Ready to apply the knowledge gained at the University in practice.
I am looking for office or remote work. These are mainly Data Science, Data Analytics, Business Analytics.
$3000 / mo
≈ $36000 / year net
Data Scientist
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 25 April · In passive search
Ukraine · Kyiv · 2 years of experience · Upper-Intermediate ·Published 25 April · In passive search
1. Automatization of scripts
1.1 Why?: To save time for other projects
1.2 Tools: Google_drive_Service
1.3 Result: save time from all day task to 40 min task
- Machine learning projects(clustering)
2.1 Why?: To resolve task: find patterns in array of texts(count 300k-2 billion)
2.2 Tools: NLTK, Word2Vec, sklearn
2.3 Result: makes report with patterns of text, and counts of this pattern examples
- Making module tools for work with warehouse.
3.1 Why?: to load so much data for long period of time, where disposable load doesn't work
3.2 Tools: date, datetime, timedelta, cx_Oracle
3.3 Result: script which loads so much data for long period of time
$700 / mo
≈ $8400 / year net
Data scientist
Ukraine · Kalush · 1 year of experience · Intermediate · 🪖 DFU combatant ·Published 25 April
Ukraine · Kalush · 1 year of experience · Intermediate · 🪖 DFU combatant ·Published 25 April
These projects involved the application of classifiers and regression models to predict various outcomes, showcasing my proficiency in both areas. The experience gained during these endeavors further solidified my skills in data analysis and predictive modeling.
Programming: Python, SQL
Machine Learning
Time series predictive modelling
Quantitative Analysis
$1000 / mo
≈ $12000 / year net
Data Scientist
Ukraine · 2 years of experience · Intermediate ·Published 25 April · In passive search
Ukraine · 2 years of experience · Intermediate ·Published 25 April · In passive search
A rating system for clustering plant species has been developed. The created system made it possible to develop a well-founded methodology for rapid assessment of the expansive potential of plant ecosystems.
The results were presented in the form of an interactive dashboard Power BI.
Automation of trading signals evaluation. Freelance. January 2023. Introduced a trend reversal signal "hanging man" and "hammer" as a formula for analysis. Created a program that tracks these signals in any time series of trading pairs. The ratio of true and false indicators of trend change for 5 currency pairs has been calculated. Pandas.
Analysis of anime descriptions. Freelance. December 2022. Parsed descriptions of anime, created Sqlite3 database. Used a frequency dictionary and neural networks to test the hypothesis that the anime rating depends on its description. Create a PowerBI dashboard to present results of parsing.
Estimation of the financial performance of a trader. Freelance. November 2022. Parsed two years trading data. Tested hypotheses about the most successful actions using regression analysis and confidence intervals. Pandas, Scikit-learn.
Kaggle competition Big Data Derby 2022. September 2022 - November 2022. Analyzed data to increase the chances of winning for jockeys during the races. Developed a Statistical Model to determine winning strategy. The result: plots with visual representation of the winner's patterns. Pandas.
Internship at the University of Artificial Intelligence. July 2021 — July 2022.
Improved NN credit score accuracy by 2.6% compared to the old SVM model.
Designed a model with better accuracy from Random Forest, KNN and a neural network (better by 6%) for the base of no-showing clients at the barbershop.
Diploma project. Collected a database of words with the correct pronunciation. Wrote functions for parsing, evaluation and visualization. Designed an autoencoder and classifier to evaluate the pronunciation of the sound [ai] of the English language.
$700 / mo
≈ $8400 / year net
Junior Data scientist
Azerbaijan · 1 year of experience · Intermediate ·Published 25 April
Azerbaijan · 1 year of experience · Intermediate ·Published 25 April
Biomedical engineer / Smarton LLC, Baku / AZ 09/22 - 09/23
Data scientist / Karabuk University Research Hospital , Karabuk / TR 03/22- 09/22