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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

Machine Learning Engineer

Киев · $2500 · Меньше года опыта · Upper Intermediate

Agile, SDLC, Quality Assurance (QA), Automated Testing (QA), BDD, HTTP, JMeter, Kanban, Python, REST API, Selenium, SQL, CSS, Git, HTML, Jenkins, Linux, OOP/OOD, Redis, Deep Learning, Keras, Machine Learning, Tensorflow

Linux, CSS, HTML, SQL, Redis, Python, JMeter, Jenkins, Automated Testing, Machine Learning, Supervised Learning

Machine Learning by Stanford University on Coursera Deep Learning Specialization by DeepLearning.ai on Coursera (in progress)

Professional growth Challenging tasks Awesome team


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.


15 декабря 2018

Data Analyst / BI Analyst

Киев · $1000 · 2 года опыта · Upper Intermediate

Client service, Data analysing, data processing, Microsoft Office, Project Management, Quantitative research, BI system Sisense, SPSS, Jira, MySQL

Professional skills: Data analysing Data processing Report preparation and data visualization Market research and consumer insights Project management Client services and relation skills Tools: MySQL (queries) BI Sisense (creating reports, creating graphical part of analyzes, formulas) SPSS (syntax writing, data preparation, cleaning, analyzing) MS Office Jira

Professional growth, gaining new skills and knowledges along with the development old ones, non standard tasks, opportunity to work with data and analyzing, friendly team.


15 декабря 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


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.


14 декабря 2018

Data scientist, Machine Learning Engineer, Quantitative Researcher

Киев, удаленно · $3000 · 5 лет опыта · Advanced/Fluent

Python, AWS, Flask, PostgreSQL, SQL, Django

-Estimate the probability of a horse winning a race and use these probabilities to design betting strategies. Tools & Technologies: Python. -Design investment and risk management strategies and implement them in real time. Tools & Technologies: R, Python, and C++. -Develop a model that correctly classifies text from websites as an address or not, in multiple languages. Tools & Technologies: Python, keras, recurrent neural networks -Develop a model that detects customers with high probability to churn. Tools & Technologies: R, postgresql -Develop a predictive model for customer orders based on historical orders. Tools & Technologies: Python, postgresql -Classify website images as company logos or not. Tools & Technologies: Python, keras -Detect, classify and count products on fridge shelves. Tools & Technologies: Python, keras, Google object detection api -Model the time interval between two events. Tools & Technologies: R -Model patient reaction to medication. Tools & Technologies: R, mgcv -Programming languages: Python, R, C++ -Frameworks: Flask, django -Libraries: numpy, pandas, scikit-learn, xgboost, keras, many R packages -Technologies: SQL, Docker, AWS -Methods and Skills: Statistics and probability theory, regression and classification, unsupervised learning, deep learning for computer vision and NLP, time series, generalized linear (mixed effect) models, GAM models, survival analysis and more

Data scientist with over 5 years of experience and strong background in machine learning algorithms, mathematics, statistics and programming. I enjoy the process of searching for the signal in piles of data, refining it, understanding it and putting it to use.


6 декабря 2018

Data scientist & Machine learning engineer 

remote, Kyev, Dnepr · $4000 · Больше 10 лет опыта · Upper Intermediate

Hydrodynamics, Machine Learning, Math, NLP, pandas, Python, Tensorflow, xgboost, Linux, PyTorch, R (language), Statistic, Vowpal wabbit, OpenCV

over 9 project in Machine learning, 8 years experience, supervise and unsupervise. RecSystem , Video & Image Clasification, Prediction, Deep learning, NLP, Time series, Horse race prediction 8 years Python experience 5 years R experience

Factorisation machine model for dense 3 dimension data with AdaMax optimization. Classification with BigArtm topic model. Boosting for classification model with constraints. Classification video. Boosting for list ranking models. Sequential Pattern Mining Classification. Recomender System for click

Intresting tasks, new experience


14 декабря 2018

Data Scientist

Везде · $500 · Меньше года опыта · Intermediate

Python, xgboost, Automated Testing (QA), Git, Keras, LightGBM, Mathematical Analysis, Neural Networks, numpy, scikit-learn, SQLite, supervised learning, Unsupervised Learning

Scikit-learn, pandas, numpy, Keras

I'm professional with 12 years of experience in process control systems. Quickly write a stable code – my record is 2 weeks for software development and commissioning of facility. Facility has been working 24/7 for more than 7 years until now.

Looking for first job in Data Science (full or part time). Perfectly - remote with strong data science team. Ready to learn a lot and constantly improve myself skills.


14 декабря 2018

Data Analyst / Data Scientist

Удаленная работа, Украина · $2300 · 2 года опыта · Advanced/Fluent

R Shiny, R (language), Git, MacOS, Confluence, Jira, Python, SQL

R, Shiny, Python Working with R for 2 years. A lot of experience building R/Shiny apps of all kinds.

Certificates: Specialization "Data Analysis", Coursera Statistical Learning, Stanford Getting and Cleaning Data, Coursera Practical Machine Learning, Coursera Exploratory Data Analysis, Coursera Intermediate Python for Data Science, Datacamp

Not looking for a full-time job. Prefer small or part-time projects, open to new opportunities.


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