Data Scientist

Kyiv · $2000 · 5 years of experience · Upper Intermediate

Python, PL-SQL, SQL, R, R-Studio, Visual Basic for Applications, MATLAB, Delphi, PyCharm, SAS Enterprise Miner, SQL Navigator, SQL Developer, MS SQL Server, Greenplum, Drill, ClickHouse, Hive, Spark, Mongo, Elastic, JIRA, Confluence, MS Office (Word, Excel, Access, PowerPoint, Outlook), 1C, LaTeX I've worked on various classification and regression tasks, clustering (including graph clustering), some recommendation projects. Lot of A/B-tests data proceeding.

NoSQL, Python, SQL, Machine Learning, Data Science, scikit-learn, pandas, NumPy, Math, Jupyter Notebook, Matplotlib, NLP, Statistics

Data analysis and interesting tasks. Minimum of product code writing.


Data Scientist / Machine Learning Engineer 

Kyiv · $1500 · 1.5 years of experience · Pre-Intermediate

Work Experience: • deepspeech project • preparation and processing set of audio data • train and support of the model for STT • image classification application • service bypass google captcha • algorithms to solve SEO problems Skills and abilities: • Neural Network and deep learning(CNN, RNN, autoencoder) • Computer vision, classification, object recognition • Classic methods: Decision Trees, Logistic and linear regression, gradient boosting etc. • OOP, algorithms and data structures • Linear algebra, probability theory, discrete mathematics, statistics, integral and differential computation • Python • pytorch, tensorflow, numpy, skikit-learn, pandas • Linux • SQL, GIT • Ukrainian(native), Russian, English(Intermediate)

Python, Machine Learning, Deep Learning, Data Science, PyTorch, Computer Vision, Math, Tensorflow, Keras, Algorithms, Pandas, NumPy, skikit-learn, Linux, Linear Algebra

Work in a strong team, create advanced products.


Data Scientist

Kyiv · $3500 · 4 years of experience · Upper Intermediate

Experienced Software Developer. 4 years of Machine Learning(Python), DataScience and 11 years of Java. Took part in a variety of Data Science projects for e-commerce and advertising companies. My work covered all cycles of Prediction Modeling, starting from looking for Product Growth points, cleaning and preparing data, cross-validating and finally making production-ready models.

Machine Learning, Data Science, Product management

Ideally - startups or fast-growing companies. Ok - companies having enough data, who considering Data Science as a tool of product growth or automatization. No - for the rest, who think Data Science is all about magic, not about data and hard work.


Machine Learning Engineer + MS SQL Developer

Remote work · $4350 · More than 10 years of experience · Upper Intermediate

The last project: behave, Luxembourg, Grand Duchy of Luxembourg. I was responsible for developing of a sophisticated analytical system: Refinitiv’s financial information analysis for investment professionals. A database was created from the scratch. Extremely efficient stored procedures for statistical and analytical processing of huge amounts of financial information in the context of each day for decades were developed (hundreds of millions and billions of records in tables to proceed). Machine Learning were used for results forecasting (MS SQL R Services and Azure Machine Learning Studio). Approaches how to reduce the cost of using Azure Machine Learning Studio were found. Easy-to-use structured and well formatted analytical reports for clients directly in Excel format by means of MS SQL Server with emailing were created. The active development stage of the system is successfully completed.

Machine Learning, Analytical Skills, Data Analysis, Backend developer, DB tuning and optimization, MS SQL Server, MSSQL, MS SQL R Services, Dynamic SQL, T-SQL, ETL, SSIS, SSRS, Azure, MS Azure ML Studio, SQL Azure, Azure Data Factory, MS Access, Power Shell, C#, JIRA, GIT, Data Visualization, Ability to learn quickly

Ph.D., technical sciences, the topic of the thesis was pattern recognition and multi-class classification – classic machine learning challenges. For the last project, data processing with recursive call of three levels of nesting stored procedures and result of intermediate calculations at each step were developed. Recursion is a common practice for tables (CTE). But for stored procedures, I did not find anything similar on the internet forums. Machine Learning were used to build models for results forecasting. With correctly prepared data and "Two-Class Decision Jungle" model Accuracy = 0.865 was achieved.

I'm interested in getting a new related to information-analytic activities job. Development of sophisticated AI driven MS SQL based information-analytic systems. Development of new and improvement of existing MS SQL databases and analytic reports. At the moment I can be useful as Machine Learning Engineer, MS SQL Developer or Data Analyst. In the future, I’m going to grow to the level of Data Scientist. In order to achieve this goal, I am already learning the course “The Data Science Course 2020: Complete Data Science” by 365 Careers, that I bought on udemy.


Data analyst

Vіddalena robota, Odesa · $2300 · More than 10 years of experience · Upper Intermediate

I have 10+ years of experience with data collection, pre-processing, migration and analysis on projects for companies in range from Forbes Top-100 list to a small local businesses. Areas of expertise: Data engineering (collection, pre-processing, integration, storage), data management and governance (data standards definition and quality assurance), data analytics, data scraping, data visualization, requirements collection and analysis, project management, team management, mentoring Tech stack: Python, Pandas, NumPy, SciPy, scikit-learn, SQL, Selenium, ETL tools, pyplot, seaborn, Jupyter Notebook, Tableau, Power BI, SAP ERP, LSMW

ETL, Python, SQL, Data Analysis, Data Presentation, Technical requirement documents, Project Management, Tableau, Power BI, Jupyter Notebook, Pandas, scikit-learn, NumPy, scraping

Building of an effective teams from scratch. ~100% success rate of conversion and upload of data for multiple migration projects.


Junior Data science

Kyiv, Lviv, Ivano-Frankivsk, Khmelnytskiy · $600 · Intermediate

Data science courses on DevRepublik, doing all basics satasets on kaggle(titanic, iris, car prise, boston crymes, mnist, big mnist, clusterable data, movies metadata, brazilian coins data, heart desease data, avocado prices, nobel price winners, spotify top tracks)

Machine Learning, Python, Data Science, SQL, Git, Deep Learning, NumPy, pandas, Jupyter Notebook, Math, Pandas, Matplotlib, NLP, numpy, Tensorflow, Algorithms, Data Mining, PyTorch, Statisics, Big Data, Boosting algorithms, Сlustering, Neural Networks

Winning kaggle competition on devrepublik on predicting if user placed a deposit

I want to improve compony ernings by builing some models))


Data analyst

Remote work, Russia · $1000 · 1 year of experience · Intermediate

2015-2018 years - worked as System Adminitstrator, Senior System Administrator. Have good knowledges of unix, docker, git, networking. Since 2018 I combine system administration with data analys. For this year I`ve completed several projects in analysis of real estate market and made quite big project - researching of behiavor computer game clients. Now I`m writing on python, using pandas, matplotlib, scipy.

Python, Pandas, Linux, Jupyter Notebook, Matplotlib, PostgreSQL, Statistics, scikit-learn, SQL, NumPy, Machine Learning

I`d like to participate as a remote or freelance analyst in any interesting project.


Data Scientist

Uzhgorod · $3000 · More than 10 years of experience · Intermediate

• Work in a dev environment managing purpose-built, highly available, distributed, scalable cloud services; • Good problem-solving skills, with attention to detail and focus on quality; • Solid understanding of mathematical foundations behind Machine Learning; algorithms, and comfortable with discussing them in details; • Good understanding and background in probability theory, random process, statistics, and optimization techniques; • Solid knowledge of linear algebra; • Previous experience with either IR, NLP, CV, text mining, machine learning or big data mining is highly desirable; • Proven track record delivering enterprise-grade, scalable, secure & reliable software systems; • Good experience in developing highly scalable machine learning/deep learning-based applications and services; • 9 + years of experience in analysis, design, and development of client/server, web-based and n-tier application. Expert in developing windows applications, web applications, windows services, and web services; • Ability to work on data mining, data science projects with an application; engineering, quality engineers and product management.

.NET, C#, C++, DDD, F#, HTML, JavaScript, MongoDB, MySQL, NoSQL, OOP/OOD, Python, SQL, SQLite, T-SQL, TDD, WinForms, WPF, Jupyter lab, TensorFlow, PostgreSQL, Keras, Pytorch, Numpy, Pandas, Data Science in Python, OpenCV, TenforFlow, AI prototyping, Big Data, Bayesian inference, Data Science, Machine Learning, Math, statsmodels, Mathematical Analysis


Архитектор проекта, менеджер проекта внедрения

Kyiv · $3000 · More than 10 years of experience · Upper Intermediate

Менеджер проекта по новым облачным технологиям, миграции данных в облака. Работал разработчиком, инженером технической поддержки. Отличное знание английского языка. Хорошее знание немецкого и польского языка. Могу напрямую общаться с зарубежными заказчиками, быть менеджером проекта. Большой опыт работы более 20 лет. Коммуникабельный, ответственный. Контакты указаны в резюме. Доступен по мобильному телефону, Skype и Telegram.

DBA MS SQL, DBA Oracle, T-SQL, PL/SQL, Oracle, MySQL, SSIS, ETL, Unix, Database tuning and optimizing, MS SQL Server, SQL, PHP, DWH, Team Management, Project Management

Собственные разработки по скоростной загрузке данных в облака, перенос из Data Lake в базу данных MS SQL.

Хочу заниматься новыми облачными технологиями, они открывают отличные возможности для Интернет проектов.


Business Analyst, Project Manager, Data Science

Remote work, Ukraine · $2300 · 3 years of experience · Upper Intermediate

Work experience at the intersection of logistics, transport, infrastructure and information technology. Reliable, self-motivated, purposeful team player Skills in the organization of people, ideas, workflow, department of information technologies commands Coordinate the overall objectives of the project, the path to it, speed The emphasis on an integrated approach to solving problems Focus on results Ability to work under tight deadlines Critical thinking Emotional Intelligence Selling to customers that are ready for the product: - Consulting: offer retrospective feedback on customers with low readiness; advise on qualification criteria. Launching the customer with certain functionality on time: - Responsible for guiding customers in configuring to execute on their CS strategy, Consulting about how to resolve delays. Delivering valuable, usable features: - Consulting: offer feedback on prospects' reactions to product, on product value and usability. Resolving technical cases in a timely, effective way: - Informing about technical challenges that could impede implementation, - Consulting on how to resolve cases that we flag as important. Resolving technical bugs: - Informing about bugs that could impede implementation, - Informing about the status of resolution. Enabling the customer to adopt the product: - Presentations of new features for the customer, - Responsible for configuring features in a way that's useful for the customer. - Perform feature validation, acceptance testing: The analysis and evaluation of business processes, Work in multitasking decomposition of tasks Work with data sets with the change of prioritization, Search for patterns and trends

English, Project Management, Microsoft Office, Business Analysis, MacOS, Excel, Google tables, Tableau, Data Mining, Data Analisys

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