Львов · $3500 · 10 лет опыта · Upper Intermediate
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 :)
Киев · $1800 · 2 года опыта · Upper Intermediate
Biology, Git, Jira, OOP, Python, Scrum, data analysis, Design Patterns, Medicine, Unix, R (language)
I am a Research/Data Science Engineer with a strong background in genetics, biotechnology, and medical knowledge. Also, I have software development skills. I have good problem-solving, programming, analytical and personal skills. I am also able to solve scientific tasks and analyze data related to medicine and biology as I have a biological background and Bachelor Degree in Biotechnology and a Masters Degree in Computer Science. I have experience in creating scientific algorithms for detecting different diseases based on medical data from scratch. Technologies: Python, R data science packages for data analysis, Git, SQL, software development tools, different databases.
Participation in international scientific conferences and articles in Data Science
I am very interested in healthcare projects and projects related to biology, medicine, bioinformatics and natural sciences.
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.
Львов · $1000 · 1,5 года опыта · Intermediate
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.
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.
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
Киев · $1000 · 1 год опыта · Intermediate
Machine Learning, Oracle Database, Python, SPSS, R (language), Statistcs, Matlab
Python: Scikit-learn,Matplotlib, Pandas, Scikit-learn, Seaborn Machine Learning Data analysis Data mining Matlab R SPSS Databases: MySQL, Oracle database
Certificates: Обучение на размеченных данных - Coursera Basics of Software Testing - Prometheus MOOC Try Python, Flying Through Python - Code School Regular Expressions - Code School Введение в машинное обучение - Coursera Additional courses: Business English - Prometheus.org.ua Python - Codecademy The Data Scientist’s Toolbox - Coursera SQL: Analyzing Business Metrics - Codecademy
Киев · $1500 · 3 года опыта · Intermediate
SQL, Access, Excel, Tableau, Jira, iReport
В Access сделал приложение по трекингу дебеторской задолженности. В лог записвается оператор, сохраняется история обработок профилей, накапливается статистика. В iReport создавал отчеты, более 100. Запросы в SQL писались, формы содержали регулярные выражения, для приведения данных в удобном виде (сплит, округление, формулы и т.п.) Анализировал, находил аномалии, закономерности.
Одесса · $700 · 7 лет опыта · Intermediate
Electrical engineering, Electronics, numerical methods, AWS EC2, Discriminant analysis, Dispersion analysis, GraphLab, Moodle, Probability theory, Python, Regression analysis, C++, R lang
Computer Skills: OS: Windows, Linux Programming: C, Python (GraphLab, Pandas, Numpy .....), R Clouds: AWS EC2 RDBMS: MySQL VCS: GitHub LMS: Moodle Microcontrollers: Atmel, STM32
5 учебных пособий по прикладной математике Конференции, семинары, вебинары по всему спектру IT Сертификаты семинаров Microsoft, Luxoft, PM 2013-2017 гг. Онлайн-курсы Прометеус, Stepik
Профессиональный рост. Адекватный менеджмент. Дружелюбный, командный коллектив. Возможность научной работы и участия в конференциях.
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