Data scientist/machine learning endineer

10 та більше років
Харків
$2000
8 Лют 2023
  • Python
  • Agile
  • Building machine learning models
  • Flask
  • Deep Learning
  • Jira
  • NLP
  • FastAPI
  • Computer vision

I am an expert in data science, machine learning, and business analysis with a strong background in math, physics, and technologies
I have good soft skills and extensive experience in communication with representatives of business, administrative institutions, science and medicine
I’m not afraid to ask questions and to admit that I don’t know something, because I quickly learn and can process large amounts of information

Extensive experience in working with data and machine learning, as well as practical analysis of business processes and projects allow me the following:
• to design and implement data models in Python with Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, (S)ARIMA, OpenCV, Flask, etc.
• to work effectively with machine learning models (data preprocessing, regression, classification, clustering, learning association rules, reinforcement learning, natural language processing, deep learning, dimensional reduction, model selection and upgrade, time series processing, etc.)
• to find creative solutions to deep/machine learning problems
• to develop visions and concepts of technological solutions
• to develop effective technological approaches, models and methods
• to manage, optimize and evaluate business processes and projects
• to develop financial and economic models
The knowledge and experience gained over the years of work help me to freely navigate in various business systems and quickly find effective solutions to complex problems, as well as to propose, substantiate and develop the methods and technologies for their implementation.
The main goal that I set myself when solving a problem is to implement an integrated approach from concept development to a real product that “can be felt with my hands”.

GENERAL QUALIFICATIONS/SKILLS:

● Data science and machine learning
● Business analysis
● Both waterfall and Agile: SAFe, Scrum and Kanban
● Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence, Monday
● All around Understanding of SDLC, XML, SQL, BPMN, UML notation and CASE- tools, UX/UI design, API, BDD + Gherkin, Web
● Skills of converting business visions to POCs' & MVPs' scopes
● Able to work with large volumes of information
● Able to solving problems and finding optimal solutions