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11 декабря 2018

Machine Learning engineer \ Data Scientist \ R&D Engineer 

Львов · $3500 · 10 лет опыта · Upper Intermediate

.NET, JavaScript, Data Science, Deep Learning, Machine Learning, Python

Experienced Full Stack Web Developer with a passion for Machine Learning and Data Science. Eager learner with analytical mindset and strong problem solving skills. Have some commercial ML\DS experience, also took part in challanges and open source projects. Courses: Machine Learning course by Stanford University Data Science Specialization by Johns Hopkins University DS tech stack: Python, Jupyter Notebook, Keras, PyTorch, LightGBM, XGBoost, numpy, pandas, sklearn Dev tech stack: .NET, C#, ASP.NET MVC, Fluent NHibernate, Entity Framework, JavaScript, JQuery, Knockout.js

Co-founder of successful startup company. We started working on our product as a team of three people 5 years ago. Later we've got funding and support from Silicon Oasis Founders and 500 Startups funds. Today we have a profitable company with 20 employees and hundreds of enterprise customers. I won third place in Open Source ML Challenge. More than 600 contributors from 68 countries around the world entered this challenge. $100,000 was awarded for top contributors.

Looking for projects with meaningful impact and challenging problems. Especially interested in Healthcare domain and Machine Learning technologies. The goal and tech stack of the project have great importance to me. That's why I am really looking forward to see this information in your very first message :)


9 декабря 2018

Senior Data Scientist

Львов · $4000 · 5 лет опыта · Intermediate

Linux, Python, R (language), NoSQL, SQL

Core Competencies: " Strategic Thinking: Identifying opportunities in large, rich data sets, creating and implementing data-driven strategies that fuel growth including revenue and profits. " Modeling: Design and implement statistical / predictive models and cutting-edge algorithms utilizing diverse sources of data to solve business problems (for example optimize for gross profit, predict demand and price elasticity...). " Analytics: Use statistical methods to identify trends and relationships between different pieces of data, draw appropriate conclusions and translate analytical findings into strategies that drive solving retail problems. " Drive Enhancements: Develop tools and reports that help users access and analyze data resulting in higher revenues and margins and a better customer experience. " Communications: Capable of turning dry analysis into an exciting story that influences the direction of the business. Skills and Tools: " Statistical Methods: regression models, hypothesis testing and confidence intervals, principal component analysis and dimensionality reduction. " Machine Learning Algorithms: classification, regression, clustering, tree based models, feature engineering, ... " Deep Learning Algorithms: ANN, CNN, RNN, … " Mathematics: theory of probability, statistic, econometrics, mathematical and complex analysis, … " Software and Programming Languages: Python (scikit-learn, numpy, scipy, pandas, gensim, keras, tensorflow, …), R, R Shiny. " Big Data Technologies: Spark, Hadoop, MapReduce, Azure, AWS. " Version control system: Git, SVN. " Database: SQL, NoSQL.

July 2017 - Now SoftServe Position: Data Analyst / Data Scientist " Creating innovative and efficient products that address and solve Client's business problems in Retail. " Working with alongside business and technical stakeholders to identify solution requirements, business goals, and expected outcome. " Appling advanced statistical, data mining and artificial intelligence techniques to design complex analytical solutions, solving difficult problems. " Delivering rapid prototypes and proof of concepts that demonstrate real value. Using Shiny R for building demo application and PoC. " Analyzing raw business data, drawing conclusions & developing recommendations. Manipulating, cleaning & processing large, complex datasets using Python, R, Spark,… " Building solutions for retail, for example price optimization, recommender systems and profiling customers. " Analyzing, finding anomalies and predicting time-series data. " Interpreting results of models and showing them using visualization techniques.

Objective: a position of data scientist or data analyst in your company. Providing data-driven, action-oriented solutions to challenging business problems.


6 декабря 2018

Data Scientist

Львов · $1000 · 1,5 года опыта · Intermediate

Python, MySQL

I have been working for more than a year in the IT company in Lviv. PHd in mathematics. Python, R, MySQL, Linux. Pandas, Numpy, Scipy, Scikit-learn, NLTK, Matplotlib, XGB, Keras, Gensim

I work around the year in the IT company. Launched 3 projects from the start. Two projects for classification of documentation and one in time series.

Interesting tasks.


9 декабря 2018

Senior Data scientist, R&D software engineer

Львов · $5500 · 5 лет опыта · Intermediate

Algorithms, DS , Math, AWS, Behavioral analysis, game analytics, Machine leaning, Python, Apache Spark, docker, Flask, Git, Jira, Kaffka, NLP, OrientDB, PostgreSQL, Ansible, Linux, Lua, Matlab, Project Management, R (language), MongoDB, SQL

I enable data-driven decision making by transforming the varied and vast into the meaningful and simple. I am passionate about data science. I operate using leading-edge technologies to unveil the full power of Big Data Analysis and Machine Learning in order to solve complex Data Science and Business Intelligence tasks across multiple domains and industry sectors. Deep background in mathematics, statistics symbiotically to a computer experience ('PhD in mathematical physics). Machine Learning experience: Time-Series, DSP, NLP, Anomaly detection, ASR, DL, RL... Programming skills: Python(pandas,numpy,scikit, spacy, nltk); Kaffka, Spark, MongoDB, OrientDB, Postgres; Lua, R..

Автор новых бакалаврских программ по Data Science в двух ВУЗах.

Would be nice to work in R&D data science project.


19 ноября 2018

machine learning developer, REMOTE ONLY 

Удаленная работа, Украина · $3500 · 9 лет опыта · Advanced/Fluent

Computational Fluid Dynamics, Computational Optimization, Machine Learning, Python, Scientific Computing, uncertainty quantification, Aerospace Engineering, Mathematics, Numerical Analysis, Topology Optimization, Matlab, Spark, C++

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(CSULA), MEng in aerospace engineering(University of Toronto)

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


15 ноября 2018

Junior Data Scientist

Хмельницький, Київ, Одеса, Львів. · $500 · 1,5 года опыта · Advanced/Fluent

Microsoft Office, Analysis and research, Data Mining, English, Project Management, R (language), Python, SQL, Japanese language

R, python Project Management, Analysis, Diagnostics of business needs, Data Mining: Business Analytica, Machine Learning, Research, New Business Development, Business Strategy, Statistics, Algorithms, Data visualization, Business development, Economics.

Professional development, courses 2018 Data Scientist with R track Datacamp Electronic certificates 2018 Data Scientist with R Track Marketing Analytics in R: Statistical Modeling Resume updated 1 July 2018 at 16:04 2017 Intro to Python for Data Science Course Візуалізація даних Машинне навчання Як створити стартап 2016 Basic Statistics Bitcoin 101 Data Privacy Fundamentals Data Science Foundations - Level 2 Data Science Hands-On with Open Source Tools Data Science Methodology Data Science for Business - Level 1 Data Science for Business - Level 2 Digital Analytics & Regression Introduction to Data Science Machine Learning with Python Predictive Modeling Fundamentals I R 101 Watson Analytics 101 Аналіз даних та статистичне виведення на мові R Основы статистики

Возможность удаленной работы. Data sciene проекты.


15 октября 2018

Data Scientist

$3500 · 3 года опыта · Advanced/Fluent

AWS, computer vision, Deep Learning, Machine Learning, Python, SQL, C#, ETL, google cloud, PyTorch, NoSQL, Scala, Spark, Statistics and Calculus

A passionate data scientist with over three years of valuable experience in the IT industry. Last two years working on cutting-edge DS projects. Built an extensive portfolio of enterprise, research, and community projects.

First of all, I have a decent portfolio of complete research, volunteering and definitely - enterprise projects. In the areas of investments, smart cities, and e-governance. Secondly, I'm an active member of the world Open Data Science Community. Thirdly, I've got a solid university training in Data Science and completed a Deep Learning Coursera Specialization along with FastAI courses to get into the subject even "deeper." The last but not least, I've participated in various international programs and challenges, where I lead the creation of a few social projects for Ukraine. Those challenges supplied me with understanding business needs, projects planning and effective communication with stakeholders.

Currently, I'm looking for challenging problems, solving which would require a combination of research and state of the art engineering. I would like mostly to work on short projects and Proofs of Concept on a freelance bases


26 ноября 2018

Data Scientist

Львов · $2400 · 2 года опыта · Advanced/Fluent

MySQL, SQL, C++, Python, R (language)

Python, R, SQL, C++, Google Analytics

Previously I have been working as data analyst in product company for a bit more than 1 year. Main tasks - A/B testing, ad hoc analysis,data consistency check, investigation of data issues. Recently I have working as C++ developer for one year.


28 октября 2018

Data Scientist

Удаленная работа, Украина · $500 · Upper Intermediate

Git, Python, HTML, HTML5, MySQL

R, Tableau, Python, Advance algorithms and data structures. I had some experience with Machine Learning, Data Mining, Bioinformatics during my studies. During my classes, I did projects in Kaggle, NLP-related projects (vord2vec), Bioinformatics project (gene analysis, finding patterns that can distinguish infected and non-infected cells)

Social Impact Data Hack 2017 (Tartu, Estonia) – special winners. (2017) Computer engineering Olympiad (Kremenchuk, Ukraine) – 19th (2016), 10th (2017). Computer systems conference “Decisions for smart-house” (Mykolaiv, Ukraine) – 2nd (2017). Teacher of Scratch and HTML for kids in Code Club Ukraine (2017)

Очікую круте середовище, supportive staff, місце де я зможу вивчити щось нове, повторити вивчене (і забуте також), здобути максимум практичних навичок та неперевершений досвід. Якщо пропозиція в ЄС, готовий працювати "заради досвіду" з підписаним ERASMUS traineeship контрактом. Не хочу робити все підряд. Сумно, коли у твоїй заявці пише Data Scientist, а тобі пропонують пиляти WordPress і щоб якось приліпити це до твоєї заявки, кидають пару аналітичних проектів в Excel.


3 декабря 2018

Data Scientist / Data Analyst

Удаленная работа, Россия · $500 · 2 года опыта · Intermediate

R (language), shiny, MySQL

As Freelanced Data Scientist on Upwork (2 years): R Script Development, Statistical analysis, MySQL, Shiny App Development. Previously I have been working as data analyst in product company for a bit more than 10 year. Main tasks - Analysis of markets, competitors, marketing activities (events, sales promotion etc.) Sales statistics; Web-analytics and it impact on sales. Participation in developing marketing strategies and opportunities on new markets (market size, key players, trends etc.). Responsible of communications with analytics agencies. Responsible for acquiring new customers from external sources. Responsible for conducting surveys of customers.

Developing dashboards (Shiny, flexdashboard); Preparing reports; Managing the data-based project

Professional growth Challenging tasks Awesome team


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