Candidates 2
$8000 / mo
≈ $96000 / year net
Chief (Lead/Senior) Data Scientist, Senior Project Manager, Senior Business Analyst, COO, CSO, CPO, CMO, CDO, CAO, R&D (AI + BI + Any (Not Only IT) Business + PhD)
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 29 April
Ukraine · More than 10 years of experience · Advanced/Fluent ·Published 29 April
C-level: Chief Operating Officer, Chief Financial Officer, Chief Strategy Officer, Chief Performance Officer.
S-level: Senior Project Manager, Senior Business Analyst, Senior (Lead) Data Scientist.
Worked with Team members from: Ukraine, Russia, USA, UK, Germany, Turkey, India, China, Belarussia.
Projects: Antonov, MoSi GT Engines, ERP (SAP ERP R/3, MS Axapta, MS Navision, QuickBooks EE, Sage Line 50, all 1C), BI (SAP BO, Dundas, PowerBI, BIStudio, IBM Cognos BI, Tableau, Qlick), many CRM Software, AI & Data Science (Business Statistics, DS & ML for Business (Management, Marketing, Sales, Distribution), Text Mining, NLP, Recommendations Systems, Fraud Detection, Clinical Trials and Diagnostics, Drugs Development, Games Analytics, Computer Vision, Deep Learning, Object Detection, Text Recognition from Images in CV, SparQL, Geolocations from main Geocoders, 3D Modelling, R, Python, SPSS, MiniTAB, SAS, JMP, OriginPro, Statsgraphics), Digital (On-line) Marketing, Web Development, Developers and Teams Performance Management and Code Metrics.
For serious companies and projects ready to use main 60 project management forms from PMI (PMBOK 6) in PDF or Word. Also ready to use dozens of BOKs (not only BABOK and PMBOK as any BA and PM). I have hundreds of books in English in Data Science, Project Management (including Agile (SCRUM - Kanban - Scrumban - SAFe - LSS)) and Business Analysis.
Education: Higher Technical and double Higher Economical.
Scientific Degree: Ph. D., twice Post-Graduate (Engineer & Economics).
Ready to work as: CFO, COO, CPO, CMO, SPM, SBA, SDS.
The Data Scientist's work is to analyse and to mining collected data and to develop the data models, the Data Engineer's work is to collect data from various sources for Data Scientist's analysis. Data collecting must not be confused with the data analysis and mining, how it is done in Ukraine. Data Scientist IS NOT! equal Data Engineer. Data Engineer works for Data Scientist.
For foreign companies and developers teams ready to establish your IT Development Department in Ukraine (Kharkov).
Repeatedly managed Data Science Teams Members with PhD.
Scientific interests are: management, modern inductive logic, causality, evidence, philosophy of science, control systems, system analysis.
$2100 / mo
≈ $25200 / year net
Data Scientist / Machine Learning Specialist
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
Ukraine · Kharkiv · More than 10 years of experience · Upper-Intermediate ·Published 2 April
I've a good soft skills and extensive experience in communication with representatives of business, administrative institutions, science, as well as ordinary employees and top managers of companies working in various fields and areas.
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, OpenCV, 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, 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”.
With the ability and skills to achieve the goals on my own, I mostly consider myself as a team player
Data science and machine learning: Keras, Tensorflow, Scikit-Learn, Pandas, Numpy, Matplotlib, Seaborn, PyCharm, PyTorch, OpenCV, Flask, Flask extensions, Requests, BeautifulSoup / CNN, RNN, GAN, AIS, DarkNet, MIDAS, YOLO, UNET, (S)ARIMA, BERT, Transformers, LSTM
Business analysis
Both waterfall and Agile: SAFe, Scrum and Kanban
Familiar with any Trackers and Management tools - MS Project, Spider, Merlin, Jira + Confluence
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
ANN, CNN, RNN,GAN, UNet, DarkNet, AIS, MIDAS, DarkNet, NLP, (S)ARIMA, OpenCV, BERT, Transformers, LSTM-RNN,,etc.
Collect, analyze, and visualize data