Candidates 307
$1200 / mo
≈ $14400 / year net
Data Scientist
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
On the IBM data science course worked on the rocket first stage landing prediction
Currently freelancing and searching for a full-time job
Gaining PHD
$2800 / mo
≈ $33600 / year net
Data Scientist (ML, Computer Vision)
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
- Led the team and development time series forecasting model.
- Part of designing a remote sensing segmentation convolutional neural network (U-Net) for crop monitoring,
resulting in improved accuracy and efficiency in identifying crop types and field boundaries.
- Collaborated with cross-functional teams to integrate geospatial data analytics into existing agricultural
workflows, resulting in streamlined processes and improved decision-making.
- Conducted data preprocessing, cleaning, and feature engineering on large geospatial datasets to prepare them for analysis and modeling. Presented findings and insights to stakeholders in clear and actionable formats.
$900 / mo
≈ $10800 / year net
mathematician, slot game designer, quantitative blockchain data analyst,AI, ML
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 4 years of experience · Upper-Intermediate ·Published today
Last my job was quantitative blockchain analyst.
I used different mathematical methods analyzing cryptocurrency price changes on a crypto exchange to predict this change and play statistical arbitrage. I used cointegration, time series analysis, GRUNCH, Kalman filter, clusterisation and any other statistics.I was tasked as a mathematician to analyze all the mathematical methods that are now relevant for the analysis of cryptocurrencies and come up with a trading strategy that can be used in the Crypto Bot that we write to play on the stock exchange.
Before last my job was developing slot games. I take videos of any popular slot game from youtube or play this game online on a casino site or on site wellknown slot game companies like EGT, Aristocrat, and so on, and create game like this. I use MATLAB for modeling and analyzing created games, calculation & learning different game's statistics, first of all, RTP parameter. RTP of slot games must be between 96-98%.
Also , as scientist, I look through different scientific articles about game industry, to be able to create good modern games.
I have strong math skills, good education, unfinished PhD. I live in Ukraine, I stay all-time at home & work online, cos I am very afraid of war & covide. I send You my CV in russian and English. If you are interested, please contact me on viber, telegram,or whatsapp.
My english is not so good, so i better understand written text, instead phone talk.
Thanks!
CV in english:
Anton Borisenko, 36 years old, lives in Kiev, not married.
Qualifications: programmer, mathematician, web master,Scientist, lecturer.
I am looking for a job as a programmer, mathematician, analyst (C++, matlab). Graduate from mathematics faculties of Kiev National University named by T.Shevchenko. Worked & studied in after graduate studying in the radio-physics department of Kiev National University. Have unfinished PhD on signal digital processing algorithms. If you have job, requested deep learning of such branches & ability of programming such difficult algorithms in C++, matlab, java, so it's job quite for me. It may be different signal filtrating, pattern recognition, different math. statistics,artificial intelligence, fuzzy logic, wavelet, AI, machine learning, data visualization &so on.
my IQ = 130
1994-2000: studying at Kiev national university named by T.Shevchenko, mathematics department.
2000-2002: studied after graduate studies at the the radio-physics department Kiev national university named by T.Shevchenko.
2000-2002: working at Kiev national university named by T.Shevchenko,development programme in artificial intelligence (neuron network, fuzzy logic, math. statistic) and mathematical modeling in biophysics in matlab &c++. also deliver lectures on math. statistics&probability.
2003-2004: delivered in VMUROL "Ukraine" univer lectures on "protection information & information product"(cryptography, computer security) and working with databases(MySQL, Ms Access).
2003 working Kiev national univer named by T.Shevchenko mechanics&mathematics department working out principles of new department "system analysis" .
2003-2005: master on renewal electronic. (can repair TVsets,Taperecorders,amplifiers )
2000-2009: working in stock exchange, admining & develop special database (MySQL, Ms Access)
2009-2015: web-master(html,css,php,java,cms joomla)
2009-2019: freelance
2019-2021: slot game mathematician, game analyst & designer
2021-2022: quantitative blockchain analyst.
$6000 / mo
≈ $72000 / year net
Deep Learning engineer, Data Scientist, Machine Learning Engineer
Ukraine · 6 years of experience · Upper-Intermediate ·Published today
Ukraine · 6 years of experience · Upper-Intermediate ·Published today
* Building, deploying, maintaining ML and DL models in production environment
* Hypothesis testing, reports creation, experimentation logging, ETL processes
* Image processing, Biometrics processing, Named Entity Recognition, Topic modelling
* Language modelling, Text classification, Conversational AI, * Research and Development
* ML for Financial Applications (Portfolio optimisation, Trend analysis, Sales forecasting)
* Anomaly Detection, Time series analysis, Models debugging and explainability
$500 / mo
≈ $6000 / year net
Junior Data Scientist
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · No experience · Upper-Intermediate ·Published today
Solved common problems of mathematical disciplines, particularly mathematical statistics and probability theory.
Studied the theory and applied problems of cluster/correlation /regression, and ANOVA analysis (SAS/Statistica).
Applied modern data analysis methods using Python (Pandas/NumPy/Scikit-learn).
$2000 / mo
≈ $24000 / year net
Python Developer
Ukraine · 4 years of experience · Upper-Intermediate ·Published today
Ukraine · 4 years of experience · Upper-Intermediate ·Published today
My responsibility was:
- Developing some parts of the API
- Developing ML model
- Digital signal processing
- Improvement of the Android app
Also, I worked on creating different data collections pipelines in various fields:
- Car Rental
- Hotel
- Financial
And development API for different services.
Also, work as a Data Science specialist:
- ML/DL
- Analytics
As a Data Science specialist, my responsibilities were:
- Collecting and preparing datasets
- Development Model architecture and train models
- Verifying models results
- Model deployment and Optimization
My Skills:
- Python
- FastAPI, Flask
- PostgreSQL
- MongoDB
- Docker, Git, Linux
- RabbitMQ
- ML/DS (NumPy, Pandas, sklearn, tensorflow, keras)
- Piplines
- Data Visualisation (Matplotlib, Seaborn)
- ONNX
Take 2-nd place in Hakaton in section of "Anomaly Forest Detection"
$6000 / mo
≈ $72000 / year net
Data Scientist/Engineer Team Lead, Data Freelancer
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published today · In passive search
Ukraine · More than 10 years of experience · Upper-Intermediate ·Published today · In passive search
Programming languages: R, Python, SQL;
Skills: geospatial analysis, prediction models, behaviour prediction, process mining, recommender systems, NLP, deep learning, web scraping;
Сloud computing: AWS, Google Cloud Platform;
Databases: PostgreSQL, MySQL, Mongo, Redis, DynamoDB, AWS Athena/PrestoDB, ElasticSearch, etc;
Frameworks: Tidyverse, Scrapy, Numpy, Pandas, Sklearn, Tensorflow, Keras, Pytorch, Airflow, etc;
Web: Flask, Django, CoffeeScript, Flexdashboard, Shiny;
Cluster computing: Apache Spark;
Geospatial: Postgis, QGis, R packages, geopandas;
Project management: Scrum, Kanban, LeanDS;
LLM: LangChain
Other: Docker, Git, Jira/Trello, Nuclino.
$8000 / mo
≈ $96000 / year net
Software Engineer / Machine Learning Engineer
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Kyiv · More than 10 years of experience · Advanced/Fluent ·Published today · In passive search
I have 9+ years of experience in IT in different roles: DevOps engineer (5 years), Python Back-end engineer (4 years), ML engineer (2+ years), Technical Lead (1 year). Such broad experience makes it possible for me to speak the same language with different engineers and understand them, which is very important while collaborating inside a team or a company. As an ML engineer, I'm able to not only train models in Jupyter notebook but also know how to convert business goals into technical tasks, design, and build the whole production system with ML models and surrounding infrastructure. Besides that, I have strong math and statistical background, and terms like "Central Limit Theorem", "p-value", "probability distribution" wouldn't scare me at all. I mean that I'm confident in doing complicated data analyses and sophisticated feature engineering.
I have experience in building two big software projects from scratch. One of them is the ML project, where I had a Tech Lead role (leading a team of 4 ML engineers). On that project, I designed the whole system (ML models, data pipelines, monitoring, analysis tools) and implemented it with the team from the first commit in git till the continuous deployments on production.
In my next journey, I was invited into a project in which research kind of work was already done and at that time we have to go into productions with a few hundred models. The main challenge was to organize previous research work in clean efficient production-ready code and set up engineering pipelines in a way, where we can simultaneously train dozens of models and receive feedback (performance metrics) as soon as possible. As a result, we decreased all models' training time from around 24 hours to 30 minutes.
The ideal management, for me, is clear, transparent, with common sense in the first place, without micro-management, time tracking, etc. I like when managers treat people as mature adult individuals and assess their work by the results.
Ideally, expect to have an opportunity with all above mentioned and where my broad experience is needed.
$4800 / mo
≈ $57600 / year net
Data Science
Ukraine · Kyiv · 5 years of experience · Intermediate ·Published today · In passive search
Ukraine · Kyiv · 5 years of experience · Intermediate ·Published today · In passive search
Full cycle of predictive model development: data preprocessing, feature selection, hyperparameter tuning and testing of non-linear and linear algorithms, ensuring seamless deployment and optimal performance.
Created and supporting product for online client checks according to financial monitoring recommendations that resulted in a 30% reduction in customer onboarding time (Azure)
Full circle of analytical reporting systems (ETL, Sql, Python, Bi, ets)
Actively engaged in business development and financial strategy discussions, providing valuable insights and strategic recommendations
Conceptualized, developed, and maintained online financial product (part with onboarding new client with analytic for every step)
Collaborating with partners to secure new data sources and write technical specifications.
Research, calculate business values and develop ML models for marketing, Collection, liveness detection, signature similarity ets
Team lead of small command
Kaggle experience (bronze medal with own solution)
$800 / mo
≈ $9600 / year net
Data Analytics , Data Science
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
Ukraine · Kyiv · 1 year of experience · Upper-Intermediate ·Published today
Python(але в цьому етапі я ще новачок).Первинний аналіз даних для зрозуміння їх природи,підготовку та чистку можна зробити через Excel,Google Sheets або Power Bi(Excel вище середнього, Power Bi рівень середній).Для обробки даних можна використовувати вище згадані інструменти або перейти в Python в залежності від поставленої задачі(рівень володіння Python вважаю високим , але давно не працював з ним поглиблено тому можливо зараз рівень середній- вище середнього). Для обробки та вилучення необхідних даних також використовую SQL(високий рівень).Для візуалізації отриманих даних використовую Python(matplotlib or seaborn), але зараз активно намагаюсь імпементувати для цього Power bi.Для створення звітності використовую Power Point , Google Docs або Power Bi. Зараз активно намагаюсь внедритись у сферу Machine Learning тому якщо стоятиме питання створення алгоритму для прогнозування то для цього я б використав Python(numpy, pandas, scikit-learn).
Можливо про щось не сказав)))