yesterday

Machine Learning Engineer

Kharkiv, Kyiv, Lviv, Dnipro · $600 · 1.5 years of experience · Upper Intermediate

1.5+ years commercial experience in web-development. Studied applied math at Karazin National University. I have completed a lot of courses at online educational platform coursera in deep learning, machine learning and python. Participate in Kaggle competitions.

Python, Machine Learning, Data Science, SQL, HTML/CSS, OOP, Docker, Deep Learning, Computer Vision, scikit-learn, Git, Jupyter Notebook, NumPy, pandas, Matplotlib, Pandas, Keras, TenforFlow, Convolutional Neural Networks, AI algorithms, MySQL, PyCharm, Neural Networks, Math, Statistics, NLP

Looking for a job in interesting projects. It would be great to have mentor.


6 April

Computer Vision Engineer

Kyiv, Lviv, Vinnitsia, Kharkiv, Odesa, Dnipro, EU · $500 · Intermediate

I haven`t commercial experience as a Data Scientist, but from university projects and self-education I can highlight the following.    First, the analysis of photos and videos using OpenCV. Began with research in the coursework, and after receiving the diploma (2019) - focused on practical usage. Originally I used C++, and later chose Python for myself and now use it. In addition to pure Computer Vision, I used ML / DL approaches on Keras and PyTorch (for more information and code welcome to my GitHub).    Construction of machine / deep learning models, also using Kaggle, but not as competition participant.    Creation of automation system for a real estate agency as a university project in the 2nd year (2016-2017). Using PHP, HTML, CSS, MySQL.        Also I have several months of experience using SQL (MSSQL, Oracle), FastReport, Pascal.

Python, Computer Vision, OpenCV, Image Processing, Machine Learning, Data Science, Deep Learning, Jupyter Notebook, PyTorch, Keras, Matplotlib, Math, Probability Theory, SQL

I am searching for Junior Data Science jobs. Ideally, I prefer to deal with Computer Vision tasks. Whereas I am a beginner, having a mentor or a person who can prompt will greatly improve my productivity. Also I do not want to associate my life only with analytics tasks


6 April

PPC специалист

Dnipro, Kyiv, Odesa, Zaporizhzhya, EU, USA, Canada · $2000 · 5 years of experience · Intermediate

Занимаюсь маркетингом 5 лет 2 года работы руководителем проекта, затем директором по маркетинга (разработка стратегии продвижения в разных каналах трафика, с поддержкой офлайн продаж) 3 года работы в агенстве контекстной рекламы.

PPC, Web Analytics, Lead generation, google adwords, Digital marketing, Marketing, Google Analytics, Content marketing, Facebook Ads, Google Ads, HTML, Google Tag Manager, CMS, Team management, AdWords, serpstat

GTM Сертификаты подтверждающие навыки Успешные кейсы Выводы сделаные из провальных кейсов

не яндекс директ


6 April

Junior Python Developer

Dnipro · $600 · Less than a year of experience · Pre-Intermediate

Лабораторные роботи, курсовые проекты C++, Python, PyQT, posgreSQL, PyTorch. Работа с git. Очень нравится программирование, и интересные задачи. Интересует и хочу развиваться в разработке python, django, data scientist Небольшой опыт: python(django), nodeJS(express)

Python, Git, MySQL, SQL, OOP, Statistics, PostgreSQL, Django

Интересные проекты и дружный коллектив. Возможность развиваться и набираться опыта, как разработчику, учиться у профессионалов.


31 March

Data Scientist / Machine Learning Engineer

Dnipro · $1000 · 1.5 years of experience · Intermediate

Я занимаюсь изучением данных, ищу в них закономерности, из которых можно извлечь полезные сведения. Для этих целей применяю в том числе средства математической статистики. В качестве основного инструмента использую язык R (в совокупности с пакетами для преобразования, анализа, визуализации, данных и пакетами для машинного обучения); в качестве вспомогательного — соответствующие решения под Python (прежде всего NumPy, Pandas, SciPy, Scikit-Learn, Seaborn). Участвовал в исследовательских проектах с научным уклоном. Обладаю углублёнными познаниями в области психологии. Имею опыт разработки на языках: С++, C#. Знаком с методами машинного обучения. Готовил модели под задачи предсказания, классификации, кластеризации и выявления аномалий. Приобрёл ценные знания и навыки в качестве руководителя команд исследователей и разработчиков. Сейчас определяю как основные направления для развития: анализ данных, машинное обучение. Также буду рад случаю применить и улучшить свои навыки руководителя.

Data Science, Data Analysis, Analysis and research, Behavioral analysis, Machine Learning, Math Statistics, Regression analysis, Boosting algorithms, Decision trees, Predictive Modeling, Anomaly detection, Classification, R, Tidyverse, ggplot2, R Shiny, Data Science in Python, NumPy, Pandas, SciPy, Scikit-Learn, Matplotlib, Seaborn, Jupyter Notebook, OOP, OpenCV, JIRA, Confluence, Git, Project Management

Чем благоприятнее условия, тем легче заниматься любимым делом, развиваться и преуспевать. Отдельно отмечу, что для меня важно правильно налаженное взаимодействие между участниками команды. Ещё я всегда должным образом ценю возможность трудиться вместе с приятными и увлечёнными своим делом людьми.


26 March

Data Scientist

Kyiv, Kharkiv, Lviv, Dnipro, Odesa, Vinnitsia · $1300 · 1.5 years of experience · Upper Intermediate

Небольшой опыт работы в Data Science, больше опыта в Analyics и много опыта в менеджементе. В данный момент ищу работу в где могу получить практику именно в Data Science. Есть несколько фриланс проектов - работал со кредитным анализом, маркетинговым, исследования рынка и его сегментов, предсказыванием погоды и так далее. Знаком с большинством алгоритмов, Python, SQL. Разбираюсь со Spark Сейчас предоставляю услуги консанлтига и ведение проектов в IT

Python, SQL, Data Science, Machine Learning

Django based web service to predict www.weather-scan.herokuapp.com About Weather Scan Service With machine learning algoritms weather scan is able to predict rain and other critical weather characteristics in 49 regions in Australia. It could be used for any other locations over the world. The weather prediction system includes: - ability to predict from xls files or from external API - external REST API for handling and obtaining results - user interface profile, user registration system - visualization of prediction results - versioning of ML models, prototyping of models - maintaining prediction logs - user security system Bank marketing campaign  kaggle. com/volodymyrgavrysh/bank-marketing-campaigns-dataset-analysis Heart Disease Data Exploration github .com/VolodymyrGavrysh/My_RoadMap_Data_Science/blob/master/data_analysis/Hear_Disease_Data_Exploration.ipynb Educational project s by Data Camp github. com/VolodymyrGavrysh/DataCamp_projects

Интересно получить опыт работы в компании которая применяет DS на практике


25 March

Looking for my first job at Data Science / Machine Learning.

Dnipro · $500 · 1 year of experience · Intermediate

Machine learning Computer Vision Deep Learning Cloud Computing Data Analysis Project Management

Project Management, Deep Learning, Machine Learning, Python, Data Science, Java Core, Tensorflow, SQL, Linux, OOP, scikit-learn, numpy, pandas, Keras

Более 20 успешно пройденных курсов на coursera.com по направлению Data Scientist / Machine Learning.

Моя первая коммерческая работа Data Scientist / Machine Learning .


25 March

Data Scientist / Machine Learning Engineer

Kyiv, Lviv, Kharkiv, Odesa, Vinnitsia, Dnipro · $1000 · 1.5 years of experience · Pre-Intermediate

Python, Machine Learning, Data Science, Deep Learning, NLP, time series prediction, Linear Algebra, Probability Theory & Statistics, Calculus, SQL, No- SQL, scikit-learn, Keras, TensorFlow, Git, Docker, Linux

- I have finished to the course Machine Learning by Andrew Ng - I have listened the course “CS224n: Natural Language Processing with Deep Learning”


20 March

Data Scientist

Dnipro, udalenno · $3000 · 4 years of experience · Upper Intermediate

Data Scientist with 4 years of practice in various DS fields: from FinTech to AdTech sphere. I've applied ML for marketing goals in case of selection correct auditory for advertise campaigns - mails, calls, special offers (SAS tool, model types - random forest, logistic regression), also optimized chat-bot answers by n-gram detection (set up auto responses for most frequent ones), used automated topic splitting for text (LDA algorithm). My experience includes data pipeline creation, integration and support. I took part in such tasks/projects which realized on R/Python: - automation of report generation (knitr, Rmarkdown); - generation of insights using math models for advertise campaigns (statistics, R, Python) - set up part of process for automated segments creation (R) - detection of devices which belong to one person. Applied data extraction and processing for different formats: csv, json, html, unstructured text Programming languages: R, Python, SQL Tech tools: Hadoop(data collection), Docker/kubernetes, Git, apache kafka Algorithms: linear/logistic regression, decision trees, random forest, xgboost, text mining, LDA Libraries: caret, gbm, pandas, data.table, tm, slam, sklearn, numpy, xgboost etc. Visualization tools: ggplot2, RMarkdown (for reports) Fundamental knowledge: mathematics, statistics Most amount of work for me is Classical DS, in case of Deep Learning needed - that's absolutely possible but requires more time.

R (language), Mathematics, Statistics, Git, Python, SQL, Hadoop, Machine Learning, pandas, numpy, Matplotlib, Docker, Linux, NLP, Data Mining, Jupyter Notebook, Excel, PostgreSQL, Algorithms, Data Visualisation

Preferences: - flexible work schedule (no matter remote or in office) - challenging tasks - experienced data science team in company - also part-time projects with hourly rate are possible


14 March

Data Scientist / Machine Learning Engineer 

Remote work, Ukraine · $1800 · 2 years of experience · Intermediate

- Calculating metrics for data anonymization and data masking. - Solving classification tasks. - Building of Bayesian networks for medical domain. * Strong theoretical background in probability theory and mathematical statistics, algebra, and calculus with a broad range of computer experience. Multivariate data analysis, predictive modeling. * Programming skills: Python/R (classification (Neural Networks, Naive Bayes, Random Forest, SVM, Decision Tree and etc.), clusterization, time series (SSA, STL, Neural Networks), NLP), Java SE, SQL. Other: PowerBI, Microsoft Analysis Service. English: Intermediate

OLAP, SQL, PowerBI, Python, R (language), Java SE, Tableau, Git, Machine Learning, scikit-learn, NumPy, pandas, Bayesian network, Bayesian inference, Probability Theory & Statistics, NLP

PhD physic-mathematical science.

Challenging projects. Professional and small team. Ability to work remotely.


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