Remote work, Ukraine · $2500 · More than 10 years of experience · Advanced/Fluent
Kyiv · $800 · 1 year of experience · Upper Intermediate
1. Опыт работы аналитиком в банке 1 год, работа с ORACLE database, финансовая отчётность. Продвинутый уровень SQL, английский выше среднего, свободное чтение технической документации. 2. Курсы Infopulse по направлению data science. Язык R 3. Проекты, связанные с кластеризацией, нейронными сетями, регрессией. 4. Проекты по text mining (схожесть текстов, н-граммы, визуализация, сентиментальный анализ, LDA. Работа с shiny framework
Machine Learning, SQL, R, NLP, Data Science, English, Data Mining, Kaggle, MySQL, Oracle SQL, Microsoft Power BI, Linear Algebra, Probability Theory & Statistics, Time Series, Neural Networks, R Shiny, SPSS, Data Analisys, Data Visualisation, Financial Reporting, Jupyter Notebook
Готова к освоению навыков необходимых для достижения наилучшего результата для компании.
Kyiv · $1200 · 1 year of experience · Upper Intermediate
Bachelor's degree in of Probability Theory, Statistics and Actuarial Mathematics. In my previous jobs I had next tasks/responsibilities: Creating and deploying chatbots in Telegram, Facebook with implementing machine learning algorithms. Designing and implementing machine learning pipelines for raw data of different types to generate, resample and retrieve features. Building well-tuned RandomForest,CatBoost, XGBoost, RNN models for variety of tasks: text classification, recommender system, regression. Working with SQL database and deploying tools for data retrieval.
Python, Machine Learning, Data Science, numpy, pandas, scikit-learn, Deep Learning, NLP, PyTorch, R, Math, NumPy
I am looking for a long-term stable job with friendly, open-minded team. I'm ready for new challenges and interesting projects. I am very interested in NLP field, but open to any other work as well.
Remote work, Russia · $1800 · 2 years of experience · Intermediate
Data Scientist in IT department of biggest bank of Russia (from June 2018 to the present) R&D department Dialogue System Project: Construction of neural network algorithms for voice processing (speech-to-text) (using Tacotron, Waveglow) Intents extraction (user needs) and their classification (order a taxi, way to home, cooking) from the text Developing algorithms for NER (Named Entity Recognition: dates, addresses) using rule-based approach (Yarge parser) and NLP methods Classification of Wake words (determine what skill in the voice assistant user wants to "call") Pushing code with new assistant's skills to production. Developer of NLU, NLP and NLG parts of voice assistant. Other projects: Development of data processing models using machine learning algorithms Graph clustering based on clients' transaction- and geo-data Building recommender systems Deploying deep neural network architecture for face recognition application for internal use in company. Software engineering in Python (keras, NLTK, Gensim, numpy, pandas, sklearn, networkx, community, etc) and Python + Spark Follow the Agile paradigm at work Junior Data Analyst in the biggest Russian bank Client-oriented analytics Data mining and data visualization, preparation of dashboards Working with relational databases (SQL, Hive, Spark) Applying NLP methods for transaction analytics Quality Assurance Quality Control MSc in Big Data Analysis in Business, Economy, and Society. National Research University "Higher School of Economics". Saint Petersburg, Russia. 2016-2018 Topic of the course work: Search and extraction of critical moments in eSports. Thesis: Building an image processing system based on neural network algorithms University of Turin. Stochastics and Data Science. 2017-2018. Exchange student. BSc in Mathematics National Research University "Novosibirsk State University". Novosibirsk, Russia. 2012-2016 Thesis: Limit theorems for functionals of order statistics (area: mathematical statistics I participate in hackathons. Programming language: Python
Linux, Python, Machine Learning, SQL, Keras, R , scikit-learn, Docker, NLP
Winner in the competition Best in Profession 2018
I am constantly self-educated and interested in innovations in the field of machine learning and deep learning. I plan to move to Italy in September and looking for remote work.
Kyiv · $3500 · 4 years of experience · Upper Intermediate
• DWH/BI from scratch with Microsoft BI Suite; • development of advanced dashboards with custom extensions on QlikView 11/12; • ETL using Python, T-SQL, VBScript; • work experience with MySQL 5.6, MS SQL Server 12-17, Firebird 2.1; • C# 7.0 .Net 4.7; • Python 3 for automatization, web scraping, DB data verification, MS SSRS API deployment tool creation.
ETL, QlikView, T-SQL, SSIS, SSRS, Python, C#, MS SQL Server, Jira
Designed, developed, implemented, and supported QlikView dashboards. Integrated data sources and databases with QlikView, designed and developed data models and backend queries for presenting data. Experience in developing QlikView Extentions.
Remote work, Ukraine · $4500 · More than 10 years of experience · Advanced/Fluent
Kyiv · $2250 · 4 years of experience · Upper Intermediate
Hypermarket chain supply optimization (January 2018 - February 2019) Online store Recommender System (June 2016 - October 2017) Insurance company risk estimation (May 2015 - April 2016)
Python, C++, Pandas, NumPy, SciPy, Scikit-Learn, Keras, TensorFlow, LightGBM, NLTK, NLP, MySQL, Apache Spark, Django, Flask
- Online store improvement in buyer experience and selling. - Big saving in storage space and supply quality improvement for hypermarket chain. - Multiple successfully finished Machine Learning and Data Science competitions on Kaggle, DrivenData, KDnuggets. Always in top part of Leaderboard.
Search for interesting projects and great team for more career achievements in field.
Kiev · $450 · 1 year of experience · Upper Intermediate
Self-motivated, creative, have responsible attitude to the tasks and know how to manage the time. During my period of study in Italy I got an experience working as part of a team and individually, improved my soft and professional skills and broaden my mind. I have a great desire to grow professionally and get new knowledge. Erasmus + exchange in Italy: Taken courses: •Web engineering •Open data and web services •Data analytics and data driven decision During my mobility period, we have developed 3 projects with my team: In the first one, we developed a web application for creating and passing surveys In the second, we analyzed datasets and predicted the expected result based on building machine learning models And the third one was about creating web services that parsing open data resourses. Internship in FF-Group: •Implemented small features and modifications to the existing company's project •Developed coding modules in different languages such as Python/ Java •Wrote SQL queries and worked with data •Created API •Tested the developed modules and created accurate reports •Wrote technical documentation and user manuals
Java, OOP, C#, Git, Linux, Python, SQL, Data Structures, Machine Learning, JSP/Servlet, JDBC, Tomcat, Maven
Erasmus + exchange in Italy (Università degli Studi dell'Aquila) Student of the Kiev National University of Shevchenko (Faculty of Cybernetics, Computer science)
Kyiv · $3000 · 4 years of experience · Intermediate
Over 4 years experience in data science and machine learning using predictive modeling, data processing, and data mining algorithms to solve challenging business problems. Have a passion for data science, worked with a great number of popular technologies. Strong foundation in Machine Learning through the current job position as Lead Data Scientist. Determined to get the job done. RECENT EXPERIENCE Financial Advisor System is based on financial analysis for portfolio asset allocation and risk management. It includes core module processing Big Data and applying neural networks to it. System also includes back-end application, web application, admin panel, native mobile applications (iOS and Android). Technologies: Python, TensorFlow, PostgreSQL, Scikit, Apache Spark, Apache Cassandra. Land cover classification System is based on satellite optical and radar data. It includes core module processing Big Data and applying ensemble of neural networks to it. The system helped to estimate the area of illegal crops and deforestation. Technologies: Python, TensorFlow, Keras, PostgreSQL. Remote flood detection System is based on satellite radar data. It includes core module processing Big Data and applying ensemble of neural networks to it. The system counts the area of flooding and estimates the damage based on the map of land cover classification. Technologies: Python, TensorFlow, Keras, PostgreSQL.
TenorFlow, SciPy, Keras, Docker, Sklearn, computer vision, NLP, Digital Image Processing, Data Mining, Apache Spark, AWS, Parallelization and Concurrency, Data Engineering, Apache Hadoop
Kyiv · $800 · 2.5 years of experience · Intermediate
Опыт на позиции PM - 2 года. Опыт аналитиком - 1 год. Навыки написания SQL-запросов, процедур и построение отчетности. SQL; Tableau; MS Excel; Waterfall, Kanban, Scrum Jira; Git.
SQL, Git, Jira, MySQL, MS Excel, Kanban, Scrum, Data Analisys, Tableau
Работать с интересными задачами. Расти и развиваться в области "Дата анализа". Усовершенствовать свои технические навыки.