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20 апреля 2018

Data Scientist

Львов · $3000 · 2,5 года опыта · Upper Intermediate

Languages: Python, Java, Scala, SQL, bash VCS: Git (GitHub, Gerrit). Frameworks/libraries: Robot Framework, Hadoop, map&reduce, keras, scikit-learn, pandas, numpy CI: Jenkins Other: Vim, Jira, Agile software development. Math-related courses: Linear Algebra, Discrete Mathematics, Mathematical Analysis, Statistics, Machine Learning (currently finishing). Programming related courses: Advanced Programming (Java), Distributed Databases, Distributed Algorithms, Parallel Functional Programming (Scala) I can write a lot more here, but I think that's not so important.

Leading a team of 12 people Bachelor's Degree in Applied Mathematics Obtaining Master's Degree in Data Science

I want to work on complex tasks in a team of professionals who can keep an eye on me at the beginning and who are the guys with whom it's comfortable to drink beer after the work. Also would prefer comfortable office and workplace. I will be very happy if it would be possible to work remotely sometimes (not often). On the other hand, it will be awesome to have business trips to cities in developed countries sometimes. Wanna become a data scientist because it looks more interesting/challenging/promising if compare with a plain programmer.


20 мая 2018

Data scientist

Львов · $2600 · 3 года опыта · Upper Intermediate

Image classification tasks using CNN in keras Text classification/summarisation using RNN in keras Naive Bayes, SVM, linear/logistic regression in python using sklearn and numpy. Image processing using ImageMagic library Video processing using FFmpeg library Desktop application/Linux services/Mobile development using C++ and Qt CI Jenkins and TeamCity

Machine Learning by Stanford University on Coursera Deep Learning, a 5-course specialization by deeplearning.ai on Coursera

Interested only in ML projects


30 марта 2018

Data scientist

Львів · $3000 · 3 года опыта · Upper Intermediate

data science machine learning computer vision python(scikit, pandas, numpy) R C++

Machine​ ​ Learning​ ​ by​ ​ Stanford​ ​ University​ ​ on​ ​ Coursera​ ​ by​ ​ Andrew​ ​ Ng​ ​ with​ ​ the​ ​ highest​ ​ grade. Certificate​ ​ earned​ ​ on​ ​ December​ ​ 26,​ ​ 2016. Introduction​ ​ to​ ​ Data​ ​ Science​ ​ in​ ​ Python​ ​ by​ ​ Michigan​ ​ University​ ​ on​ ​ Coursera.​ ​ Certificate​ ​ earned​ ​ on October​ ​ 10,​ ​ 2017. Attended​ ​ big​ ​ conferences​ ​ and​ ​ meetups​ ​ about​ ​ Data​ ​ Science​ ​ and​ ​ related​ ​ fields: ● Data​ ​ Science​ ​ UA(Kyiv,​ ​ Nov​ ​ 2016,​ ​ May​ ​ 2017) ● AI&BigData​ ​ Club(Lviv,​ ​ Jan​ ​ 2017) ● Kyiv​ ​ Data​ ​ Spring(March​ ​ 2017) ●UCU​ ​ Data​ ​ Science​ ​ Summer​ ​ School(July​ ​ 2017,​ ​ finished​ ​ with​ ​ certificate) ● AI​ ​ Ukraine(Kharkiv,​ ​ Sep​ ​ 2017)


19 мая 2018

Data scientist

Киев · $650 · Меньше года опыта · Advanced/Fluent

Python, R, SQL, Machine Learning, Pandas, Numpy, Scikit-learn, Seaborn, Matplotlib

▪ Built models for fraudulent and chargeback transactions detection using machine learning techniques ▪ Predicted client`s business type based on the transaction information ▪ Automated of the company`s reporting system

Projects in the active development stage that will allow me to progress to a more senior role in data science.


14 мая 2018

Data Engineer

Kiev · $1500 · 1,5 года опыта · Intermediate

Accenture Latvia, AVS – M5 Command Center(ITA) Data engineer(06/2017 – 05/2018) ● Support the Operation area through analysis and reporting on the operational data of the networking equipment, the measurement of network performance (KPI) and the quality of the services provided by the IPTV product. ● Operate with critical identification objectives providing indications for continuous improvement of results. ● Support the customer by creating summary dashboards and system alarms derived from data analysis. ● Applications of the Splunk, Python, Shell, Postman products ● Universal Forwarder installation and configuration in Linux and Windows environments ● Indexer and Deployment Server installation ● Сonfiguration of new apps for monitoring data on machines ● Сonfiguration of monitoring rules for text and script files .sh, .py ● Integration of Postman, Python with the Splunk product for the monitoring of APIs exposed by the Accenture Video Solution product Accenture Latvia, SDWAN (US) Data engineer (04/2017 – 06/2017) ● Creating dataset mockups and visualizations of SDWAN work. ● Using Python and Pandas library (Python) for preparing data ● Tableau for analyzing and visualization of SDWAN work. Accenture Latvia, Intelligent Bench Analysis (LV) Data engineer (02/2017 – 04/2017) ● Creating dashboard with information about projects, where candidates auto match for every project by Skills, Skill level and etc. and for every employee matches information about projects where he can work with his skills. ● Developing application for auto updating Riga Project Dashboards in Splunk and exporting data from this dashboards for analyzing. Using Bash Scripts, Python for developing and Splunk for analyzing and visualisation data Accenture Latvia, Flights (LV) Data engineer (12/2016 – 02/2017) ● Create a service which can collect information about flights to different destinations and for different duration stay. ● Creating summary dashboard and system alarms derived from data analysis. ● Using Python for collect data from sites like Google flights. Flume for inserting data to Hadoop. Spark for transforming and data analysis. Hive for data analysis. Qlikview for visualization results of data analysis. Splunk for system monitoring and build alerts based on analyzed data


27 марта 2018

Data scientist

Киев · $1500 · 3 года опыта · Upper Intermediate

1 year experience - Head Analyst at eCommerce retail Lamoda.ua 1.5 year experience - Web Analyst/Product Manager at eCommerce agencies (Flocktory.com, Diginetica.com) 1 year experience - Business Analyst at Bitfury (Blockchain company) machine learning course : ODS.ai - "#mlcourse_open", Python

Магистр МФТИ (ГУ), Москва (факультет управления и прикладной математики) Всеукраинская олимпиада по информатике 10 и 11 класс, 2 диплом. (Pascal, C). Всеукраинская олимпиада по математике 9 класс, 3 диплом

В первую очередь хочу через год-два вырасти в Data Scientist, т.е. очень нуждаюсь в сильном и требовательном наставнике и большом количестве задач (и данных).


19 апреля 2018

Data scientist

Киев · $600 · 10 лет опыта · Intermediate

10+ years of experience in interpreting and analyzing of structured and unstructured data for driving business solutions. Knowledge in statistics, mathematics and analytics. Advanced MS Excel skills. Familiarity with Python machine learning and visualisation libraries (NumPy, Pandas, Scikit-learn, TFLearn, TensorFlow, Matplotlib, Seaborn, Jupyter). Experience in developing machine learning models and deep learning. Over 2 years of experience in programming. Strong analytical and problem solving skills.

DATA SCIENCE PROJECTS: •Predicting a pulsar stars. Developed model to predict the Pulsar Stars using machine learning algorithms for classification. Calculated feature importances and confusion matrix. Metric- roc_auc score. Area under the curve - 0.98. •Wine quality prediction. Developed model to predict the wine quality. Implemented methods such as KNN. The quality assessment was carried out by cross-validation in 5 blocks. Scaling of features were made. Selected the best parameters of algorithms. Accuracy – 98%. •Global terrorism (statistical analysis). Performed analysis and developed graphs for dataset, that contains datas about terrorist attacks since 1970. •Ships identification. Developed model for ships identification on satellite images. Implemented methods such as Logistic Regression, Random Forest, Gradient Boosting, KNN, SVM, NB, Decision Tree. The best algorithm- Gradient Boosting with accuracy (after selected the best parameters) 98%. The quality assessment was carried out by cross-validation in 10 blocks. •Neural network for recognition handwritten figures. Developed neural network (TensorFlow) for recognition handwritten figures. Accuracy- 88%. •Neural network for identification dogs vs cats. Developed neural network (TFLearn) for identification dogs and cats on images. Accuracy- 89%. •Sign language recognition. Developed model for sign language recognition. Implemented methods such as Logistic Regression, SVM, KNN, Random Forest, Decision Tree, Gradient Boosting. The best algorithm- Logistics Regression with accuracy (after selected the best parameters) 96%. • Neural network for sign language recognition. Developed neural network (TensorFlow) for sign language recognition. Accuracy- 96%.


26 марта 2018

Junior data scientist

Удаленная работа, Украина · $500 · Меньше года опыта · Upper Intermediate

R, Python (numpy, pandas, scikit-learn, nltk), MS Office, Ms SQL Server, Data Mining, basic NLP, Math, Statistics, Latex.

Experience: - March-May 2018: Junior Machine Learning Engineer at DeepML; - June-August 2017: Business Process Analyst at Fozzy Group; - February-March 2017: Researcher Analyst at “Avalon FA LTD”; - June-July 2016: practice in IT department of Alfa-Bank as part of summer practice at the university. Skills: - English - Upper-Intermediate. IELTS Academic: 6.5. - Currently, mainly work in Python and R Studio, have experience working with libraries for machine learning. - Advanced PC user, Mc Office: Word, Excel, PowerPoint, Outlook. - Strong mathematical base, at the institute studied: higher mathematics, statistics, probability theory, discrete math, game theory, etc. - Have several projects as coursework (the development of an automated information system - C #, ORACLE and ERWin, the basis of programming - Pascal, the application of algorithms - C ++) - within the bachelor's curriculum. - In the magistracy: projects on NLP (Python), Data Mining (R Studio), Advanced Algorithmics (Python). Education: - 2017-now: Faculty of Computer Science in University of Tartu; - 2013-2017: Institute for Applied System Analysis (IASA) in the National Technical University of Ukraine “Kyiv Polytechnic Institute”. Competitions: - 2017: Social Impact Data Hack 2017 (Tartu) – special winners. - 2017: Hack the CX (Tartu) – Hackathon by SaleMove company – in top-7 teams. - 2017: AI Spring Hackathon (Kyiv) – as a captain of the team, special winners. - 2015: Kyiv level of EBEC (European BEST Engineering Competition), category CaseStudy – in top 5 teams.

Looking for interesting challanges in Data Mining field, with Mashine Learning and/or NLP. Want to impove my analitical scills and learn new visualization tools. Don't want job which contain only Excel tasks. I know Excel on intermediate level, but not big fan of it.


28 апреля 2018

Data Scientist, Python/PHP Developer

Удаленная работа, Украина · $3100 · 10 лет опыта · Upper Intermediate

Опытный web разработчик, junior data scientist. Окончил специализацию "Машинное обучение и анализ данных" Сертификат: https://www.coursera.org/account/accomplishments/specialization/7YVTA6XT5Z9H На данный момент совершенствую навыки машинного обучения и прохожу курс по Big Data. - Разработка back-end платформ самых разнообразных проектов на PHP. В том числе highload. - Построение архитектуры REST API для мобильных приложений - Есть опыт масштабирования на собственных серверах - Оптимизация высоконагруженных проектов - Большой опыт работы с Symfony 2/3 и Codeigniter Linux, PHP, PHPUnit, Symfony, Codeigniter, MySQL, JavaScript, CSS, HTML, jQuery, TDD

Запустил и построил с командой несколько крупных highload проектов. Окончил специализацию "Машинное обучение и анализ данных" Сертификат: https://www.coursera.org/account/accomplishments/specialization/7YVTA6XT5Z9H

Неформальная обстановка. Дружелюбный коллектив. Хочу оказаться в команде профессионалов machine learning и поднять свой уровень в этой сфере.


21 марта 2018

machine learning developer, REMOTE ONLY

Удаленная работа, Украина · $3000 · 9 лет опыта · Advanced/Fluent

6 years: python(scikit learn,numpy, scipy, pandas), development of machine learning, statistical and mathematical applications, algorithms of numerical analysis, signal processing 5 years: usage of mathematics, machine learning, statistics for various development tasks 1 year: c++ BSc in physics and MSc in mathematics

social network analysis system to predict chosen parameters of network members, estimate the dynamics of information diffusion in a situation of limited knowledge of the structure of network. methods: log regression, NN, SVM, clustering algorithms, graph algos+custom solutions, Monte Carlo. sports prediction systems nonstandard recommender systems(ideas from math analysis). employment in Canada: signal processing+spectroscopy+machine learning cyber threat detection systems

REMOTE ONLY data analysis/machine learning, mathematical modeling, aerospace engineering


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