Remote work, Russia · $1500 · 3 years of experience · Intermediate
I've finished additional courses Machine Learning, in Python and Scala for Data Science. I have skills in building data-scientific models in different areas: data-mining, forecasting, natural language understanding, and others. Also, I have knowledge in Deep Learning and widely useable frameworks for neural networks like Keras, Tensorflow, Pytorch. I can implement different models using: - linear and logistic regression; - neural networks; - support vector machines; - k-means clustering; - anomaly detection; - collaborative filtering to build a recommender system for movies. I'm also familiar with such techs as Jira and Confluence. I'm looking for for a job in ML or Data Science/Data Engineering field.
Python, Machine Learning, Data Science, Jupyter Notebook, scikit-learn, Keras, Tensorflow, Pandas, NumPy, Excel, Tableau, Deep Learning, NLP, Unix, Linux, Git, Math, Algorithms, Confluence, Jira, Kaffka, Hive, SQL
I consider offers from only English speaking companies.
Kyiv · $3000 · 6 years of experience · Advanced/Fluent
Programming technologies: - Python Data Science frameworks and libraries (PyTorch, Tensorflow, Keras) - Some experience with Django and Flask - Strong experience with PHP (Magento, Laravel, Symfony) - Docker, AWS, CI/CD - MYSQL, mongoDb, redis, rabbitMQ - Algorithms complexity, vulnerabilities, SOLID, Design Patterns Classical Machine Learning: Regression (Linear, Logistic, Polynomial) Decision Trees, Random Forest K-nearest neighbors K-mean segmentation Naive Bayes Libraries: scikit-learn, numpy, pandas, matplotlib Computer Vision (CV): Object classification/detection/segmentation Image generation Libraries: OpenCV, Mask R-CNN Deep learning techniques: CNN (Alex-Net, ResNet, VGG, GAN, CGAN) Reinforcement Learning (RL): Q-learning Deep Q-network (DQN) Policy Gradient Actor-Critic Libraries: OpenAI Gym Natural Language Processing (NLP): Tokenization, Stemming and lemmatization Part of Speech (POS) Tagging, Named Entity Recognition (NER) Chatbots, text classification, sentiment analysis, spam Detection Word2Vec and Seq2Seq algorithms Libraries: Spacy, NLTK Deep learning approaches: LSTM, RNN Soft Skills: Leadership experience (I managed a team of 4 people for one year) Agile methodology (SCRAM, Kanban) Fluent English (live communication with team and clients, business correspondence with customers, customer service, business trip to the USA)
Python, PyTorch, Tensorflow, Keras, OpenCv, Scikit-learn, Docker, AWS, MySQL, MongoDB
Looking for team with whom I will grow as specialist.
Dnipro · $500 · Intermediate
Python, Machine Learning, Data Science, pandas, NumPy, scikit-learn, Jupyter Notebook, Matplotlib, numpy, Pandas/Numpy/Scikit-learn, Time Series, Pandas, Algorithms, Data Science in Python
1.Machine Learning course at IT school "Hillel" https://dnipro.ithillel.ua/, personal project on realty price prediction (EDA, geocoding, data preprocessing, feature engineering, feature selection, model tuning etc. using Python, Seaborn, Pandas, SciKit-learn liblaries) 2. Machine learning course at IC "Gewissta" https://www.facebook.com/groups/gewissta/, mainly credit scoring training projects 3. Machine Learning Course at ODS https://mlcourse.ai/, fall 2019, Dota 2 winner prediction competion https://www.kaggle.com/c/mlcourse-dota2-win-prediction/, my own decision got 12th on private leaderboard
Kyiv, Lviv · $800 · Less than a year of experience · Advanced/Fluent
Currently, I work as Risk Modeling and Data Analysis specialist at PwC SDC. Basically I work with data mining and time series forecasting. I have experience in modeling using ML algorithms and financial data analysis (stock analysis). I want to find a Data Science position (preferably in Lviv).
Python, Machine Learning, Data Science, Git, Math, pandas, NumPy, scikit-learn, Jupyter Notebook, English, Algorithms, Data Mining, знание основ статистики, computer vision, Statistics, SQL
There are a lot of things I am proud of, for example, being a volunteer in Lviv Data Science Summer school, participating in E-Governace Tallinn Tech University Summer School with Blockchain specialization and working in Big 4 company as a Data Analyst.
I am ready to work both on a small and big company because I like working with people and finding approaches to them. I am eager to work in company with good atmosphere, friendly people and challenging tasks. It would be great to apply my statistical knowledge to some real world problems. Also, I am ready to work remotely if necessary.
Kyiv · $500 · Pre-Intermediate
SQL, R, Phyton, HTML, Mathematical Statistics, Excel, Tableau Розробка iнформаційної технології підтримки прийняття рішень на базi Excel. Виконання практичних завдань (Python, SQL, R) при проходженнi онлайн-курсiв на Stepik, Prometheus
Python, SQL, R, Excel
Здобув кваліфікацію: ступінь вищої освіти "Магістр" спеціальність "Комп'ютерні науки та інформаційні технології" Сертифікати про пройденi онлайн-курси ITVDN: -«Transact SQL»; Stepic: -«Введение в базы данных»; -«Основы программирования на R»; -«Основы статистики»; -«Программирование на Python»; Prometheus: -«Аналіз даних та статистичне виведення на мові R» Cертифікат Analytics Academy (Google)
Очікую застосувати свої знання і навички в роботі з даними та набути нових. Отримати реальний досвід в Data Analysis/Data Science
Kharkiv · $300 · Intermediate
Python, Django, PostgreSQL, Flask, HTML, Bootstrap, MySQL, SQLAlchemy
I have experience with : Adobe Photoshop, Oracle VM VirtualBox, phpMyAdmin, pgAdmin4, TensorFlow, Tesseract-OCR.
Very interesting and heavy job. Not Sales Manager.
Kyiv, USA, Canada · $1300 · 1.5 years of experience · Upper Intermediate
Data Analyst/Scientist(July, 2019 - current) Neyra - Building dashboard for marketing analysis like GA - ML research - Building prediction model and market segmentation model Data preprocessing: feature vectorization and normalization https://neyra.ai/ Technologies involved: Python, Pandas, NumPy, scikit-learn, Matplotlib, Keras Junior Data Analyst (September, 2018 - July, 2019) Futurealms Backend support for online store Development of the recommender system (02.2019 - 07.2019) Technologies used: Python, Django, PostgreSQL, DjangoRestFramework, Pandas Education Bachelor in International economics Kiev Institute Of International Relations 2015 - 2019 Additional education - Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization (pending) - Machine Learning course by Stanford University (2019) - Neural Networks and Deep Learning course by deeplearning.ai (2019) - Algorithmic toolbox course by University of California San Diego & National Research University Higher School of Economics (2019) - Introduction To Data Science with Python course by University of Michigan (2019) Programming for Everybody Specialization by University of Michigan (2018)
Python, Machine Learning, Data Science, pandas, Deep Learning, scikit-learn, NumPy, Keras, Matplotlib, SQL , Recommender engines, PostgreSQL, Jira, Data Analisys, Git
Kyiv · $3500 · 3 years of experience · Intermediate
Software engineer with a good knowledge of server side development, distributed systems, and high-load services. Enjoy developing complex solutions for different business areas using cutting-edge technologies. Commercial experience includes developing a complex distributed system for IoT with processing a large amount of data and analytics and semi-automated system for scraping websites and processing scraped data. Took part in Ukrainian Data Science Club and gain experience in NLP methods and solving task of sentiment analysis. Also use in practice linear models (linear regression, logistic regression, SVM, NB), Decision Trees, Random Forest and Gradient Boosting and have a good understanding of bagging and boosting concepts. Have basic knowledge of common ML techniques: neural networks, dimensionality reduction and clustering algorithms.
Spring Core, Spring MVC, Spring Test, SQL, Unit Testing, WebServices, Algorithms, Cassandra, Git, Hibernate, Highload, Scrum, Spark, Python, Crawling, AWS, Microservices, Kafka, Java
Develop solution for scraping data from large amount of sites and integrate into microservices architecture. Responsibilities: - Designing and implementing a complex system for crawling a large amount of sites. - Designing and implementing data processing pipeline - Manage AWS infrastructure Used technologies: Python, Scrapy, Flask, AWS, PostgreSQL, Docker, Java, Spring, AWS Implement complex backend solutions for IoT in a team of developers for CyberVision clients. Responsibilities: - Implementing new features on the server side - Writing and improving spark streaming jobs for fast data processing - Configuring CI system and improving a build process Used technologies: Java, Spring, Hibernate, Spark, Cassandra, PostgreSQL, Kafka, Redis
Improving professional skills, friendly collective. Working on project with highload project.
Lviv · $5000 · 8 years of experience · Advanced/Fluent
Current role - Systems Architect at a big outsourcing company. I have created the concepts and now supervise the design of a portfolio of several ML-powered systems. * 3 years of software architecture experience * 8 years of software engineering experience * experience with AI and ML powered systems * experience in Telecom, Construction, Retail and Healthcare * experience with Python/R ecosystem and technical stacks * experience with distributed and large-scale systems
Artificial Intelligence, Deep Learning, Machine Learning, Artificial neural networks, system architecture, Software Architecture, Python, R and Shiny, NoSQL, InfluxDB, Graph Databases, Kafka, Big Data, Machine Learning Pipelines, Docker, Kubernetes, Kubeflow, Google Cloud Platform, SOLID, Microservices, C4, UML, arc42, Business Analysis, Systems Analysis, Concepts Creation , Systems Validation, Systems Verification, Systems Thinking, High Availability, Reactive Architectures
Kyiv · $650 · Less than a year of experience · Intermediate
- Graduated Python courses in 2019. Now I use it at my current place of work. - Over 10 years of experience in banking on risk-management and analytical positions. Now I'm working as Deputy Chief Risk Officer.
Python, SQL, Git, Analysis and research, Data Science
With a team of two people, we created a complete, sufficient for a small bank, risk management system. Which allowed the bank to survive during the merciless sweep of the banking system, which was conducted by the NBU in 2014-2015. All checks pass with good results.
- friendly, young and positive team - interesting projects - modern approaches to company management - an opportunity to realize myself, to be useful in something - adequate payment for work