Odesa · $5000 · 8 years of experience · Upper Intermediate
• Java 8; • OOP, OOD, TDD, BDD; • Web Services (SOAP, REST) • Spring framework; • Hibernate framework; • JSP • SQL, DBMS (MySQL, Oracle DB); • Testing (jUnit, TestNg, Cucumber, Mockito); • XML, XSD, XPath, JSON; • Build tools (Ant, Maven); • Revision control systems (SVN, Perforce, Git); • Tomcat; • AWS stack;
AWS Certified Developer and AWS Certified Solution Architect
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, Docker, Linux
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
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 · $1000 · 1 year of experience · Advanced/Fluent
Experience: 1) Training, fine-tuning and deploying scoring and anti-fraud models for loan application scoring. Analyzing and presenting data to key stakeholders. (Python) 2) Developing scorecards for credit applications. Creating and maintaining working pipelines for model creation. Fetching, filtering and preprocessing data for further use in modelling. (R) 3) Participation in Ukrainian Data Science Club Course in competitive Data Science. Extensive 3 months of Kaggle competition preparation Looking forward to acquiring hands-on experience in Computer Vision / Natural Language Processing domains. * Python, R * GLM, SVM, Decision Trees, Boostings, Neural Nets * PyTorch, CNN, RNN * PlotLy, Seaborn * SQL/NoSQL (MySQL, Mongo DB, PostgreSQL) * Java, C++ * Linux, Git
Python, Data Science, Neural Networks, Boosting algorithms, Math, Matplotlib, Git, Machine Learning, English, Algorithms, Statistics, Pandas/Numpy/Scikit-learn, R, Deep Learning, Linear Algebra, SQL, Probability Theory, Excel, Linux
* 2nd place Kaggle In-Class Hackathon * Golden medal for academic excellence
* Desirable to be engaged in NLP/CV projects * Flexible working hours
Kyiv · $1000 · 1 year of experience · Upper Intermediate
I work in a product IT company as Python and Machine Learning Engineer. Main responsibilities: - Develop RESTful API and microservices using aiohttp and Flask frameworks - Research and develop state of the art techniques in the field of ML using numpy, pandas, matplotlib and TensorFlow - Prepare datasets for training ML models
Python, REST API, Microservices, Aiohttp, Machine Learning, NumPy, MySQL, ElasticSearch, OOP, Algorithms, Git, Jira, Scrum/Kanban methodology
I want to have developed new skills and abilities and to have made the most of my opportunities. I would like to add value to the team and the company.
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.
Lviv, Kyiv, Odesa · $900 · Less than a year of experience · Intermediate
I worked as an intern R&D engineer at SoftServe, at the student program - R&D Incubator. Where got a lot of hands-on experience in the field of machine learning and especially computer vision. I am well known about objects detection, object tracking, and especial face detection, as it was the main part of my previous project and my course work. Currently, I am working as a machine learning engineer at Global Logic. Moreover, I like to prove my skills in different competitions and hackathons. For example, my team and I took first place in Garage48 hackathon with project PropaGANda. In this start-up, we use Long-Short Term Memory Neural Network for sentiment analysis of Ukrainian text. The main idea was in detecting too emotional news because it is a good indicator of manipulating. Besides that, our team took 3rd place in Megogo Kaggle Challenge. In this competition, our task was to make movies recommendation algorithm per 48 hours. Furthermore, I fond of reading computer vision papers and use current state-of-art in my project. Also, I have one student paper which was written based on the Facial expression recognition work. In my applications, I usually use Numpy, pandas, OpenCV, and matplotlib for some preprocessing and visualization. PyTorch or Keras/Tensorflow for neural nets.
Python, C/C++, Linux, MySQL, Machine Learning, Jupyter Notebook, Data Science, Deep Learning, Computer Vision, Tensorflow
Deep Learning with PyTorch - Facebook Scholarship for Nanodegree Program by Udacity Introduction to Computer Vision - Udacity's course which was conducted by Aaron Bobick - dean of the School of Engineering and Applied Science at Washington University in St. Louis. Machine learning A-Z - Udemy's course Participation in the DataRoot University Introduction to machine learning with python a guide for data scientists - the book was written by Andreas C. Müller, Sarah Guido. All about ML and python tools like sklearn, pandas, numpy, matplotlib
I fond of interesting projects, where I could use state of the art deep learning algorithms. I am open for new suggestions and will be glad to solve your problem by using cutting edge methods of ML
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
Remote work, Ukraine · $3000 · 2.5 years of experience · Upper Intermediate
I am a Data Scientist, Research and Machine Learning Engineer. I have a strong background in genetics, biotechnology, and medical knowledge. 3,5 years of Python Development, more than 2,5 years in Data Science and Machine Learning. Good knowledge of data science best practices. I have experience in creating scientific algorithms for detecting different diseases based on medical data from scratch, solving scientific tasks and analyzing data related to medicine and biology Technologies: Python, R, DS and ML packages for data analysis, data mining and visualization, Core Pydata stack: numpy, scipy, pandas, scikit-learn, scipy; also experience with PyTorch, keras, tensorflow, medicaltorch, neural networks, OpenGL, Git as VCS, SQL, software development tools and frameworks, SQL databases.
Git, Machine Learning, OOP, Python, Biology, data analysis, Data Science, Medicine, R (language), Data Mining, numpy, scikit-learn, pandas, Math, Algorithms, PyTorch, Keras, TenforFlow, Statistics
- Participation in international scientific conferences and publishing articles in Data Science and Statistics in Medicine. - Masters Degree in Computer Science related to Biology and Medicine.
- Working time - US/Canada/Australia - very interested in healthcare projects and projects related to biology, medicine, bioinformatics, and natural sciences, but other fields are also good for me. - Looking for a job with a team of data science professionals to share knowledge. - Interested more in the Research part, rather than Deployment (no Data Engineering vacancies, please).
Lviv · $800 · 1 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, numpy, Pandas
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.