Candidates 902
$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).
$5600 / mo
≈ $67200 / year net
ML Engineer / Computer Vision Engineer / Lead
Estonia · 6 years of experience · Advanced/Fluent ·Published today
Estonia · 6 years of experience · Advanced/Fluent ·Published today
I have over 6 years of experience developing solutions across various fields, from automotive to desktop applications. I prioritized establishing clear processes in my teams to streamline development and improve quality.
For the past two years, I've focused on Computer Vision and Deep Learning, working in an R&D department where I developed advanced computer vision systems for industrial automation and quality control.
- Implemented an automated multi-camera calibration system for object detection and tracking in real-time.
- An artistic AI video generation project I worked on as an Artificial Intelligence researcher was showcased at the Copernicus Center in Warsaw and received positive public appreciation.
- I played a key role in designing and implementing a fully-fledged integrated development environment for silicon chips, including the project's general structure and multiple subsystems like project migration, undo-redo, UI, etc.
- I served as a mentor for a trainee group, who have become mid-level developers by now.
- I improved CI pipeline to run 4x faster to enable faster iteration rate for the team.
- One of my personal projects successfully automated an entire human's job (to their satisfaction).
- C1 English (Cambridge exam)
- Master's degree
I am interested in a product company, R&D, or both.
$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"
$600 / mo
≈ $7200 / year net
Junior Data Scientist
Ukraine · Kharkiv · 6 months · Advanced/Fluent ·Published today
Ukraine · Kharkiv · 6 months · Advanced/Fluent ·Published today
Work experience
Outreach (Remotely)
Contract Data Annotator
(September 2022 - November 2022)
• Manually curated data through the review of audio datasets from unstructured sources by labelling them to define topics and speaker's reaction
ZEPS.Tech (Kharkiv, Ukraine)
Machine Learning Engineer
(July 2021 – March 2022)
• Took part in application for gesture control and drawing development (Pose estimation, Gesture recognition).
• Took part in drone with autonomous flight using tags development (ArUco & Apriltag markers detection and pose estimation).
• Developed models for Image Classification and Object Detection (Machine Learning, Transfer Learning, Object Detection, Image Classification).
$1500 / mo
≈ $18000 / year net
Data Scientist / Analyst
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
Ukraine · Lviv · 2 years of experience · Advanced/Fluent ·Published today · In passive search
- Performed clean-up of data from various sources.
- Conducted ETL processes, created and managed relational databases.
- Automated data visualization routines.
- Analyzed and reported insights using Tableau.
- Enrolled in MSc Data Science program at Ukrainian Catholic University.
$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.
$5500 / mo
≈ $66000 / year net
Data Scientist | Machine Learning Engineer
Armenia · 5 years of experience · Advanced/Fluent ·Published today
Armenia · 5 years of experience · Advanced/Fluent ·Published today
I have a portfolio of successful projects in Natural Language Processing, Computer Vision, Recommender Systems, and more. I have also experience in MLOps.
Little info about my projects:
- Entity recognition and relation extraction from legal PDF documents using multimodal models (LLMs + vision transformers)
- Detection of violations in housing descriptions using LLMs and chatGPT
- Person Detection and Tracking on a Video using (YOLO + Kalman Filter Tracker)
- Classification/Segmentation models on images
- Google search query classification
- Predictive modeling of consumer liking
- MLOps platform for model monitoring using Grafana and Prometheus
- Recommender system for suggesting coding lessons
$2000 / mo
≈ $24000 / year net
Data Scientist/ML Engineer/Data Analyst
Ukraine · Lviv · 1.5 years of experience · Upper-Intermediate ·Published today
Ukraine · Lviv · 1.5 years of experience · Upper-Intermediate ·Published today
Summary: Worked with generative AI. I managed a high-load vector database with a large number of files (~1 million), parsed documents and embedded them into vectors, which I later loaded into a vector database, tested the quality of model responses, analyzed and evaluated models for embedding documents.
Technologies:
LLM models(gpt4, llama-2,etc), Python, Langchain, Pinecone-client, Vector databases - Pinecone, BigQuery, Pandas, MySQL, Calculus.
Mental health illnesses
Summary: The analysis-research concerned mental illnesses by gender, ethnicity and age categories. I created statistics by categories of patients, looked for dependencies in categories regarding symptoms, as well as cyclical recurrence of certain symptoms, studied the treatment of patients with certain signs ,conducted a search for patterns depending on the use of a type of drug, formed business rules, especially regarding the definition of truly positive patients.
Technologies:
SQL, BigQuery, Google Cloud Storage, Google Sheets, Statistics
High cholesterol in young patients
Summary: Analysis of high cholesterol in children, at what age high cholesterol was detected and under what conditions, I defined a cohort of patients, created statistical metrics of patients dividing them by different categories and compared their performance in different defined periods.
Technologies:
SQL,BigQuery, Google Cloud Storage, Google Sheets, Statistics