Data Scientist
Melbourne University
Total years of experience :16 years, 3 Months
Melbourne University, Research assistant - Data science
Lead developer of a Deep Learning framework in AI research on the assessment of biases presented in International Monetary Fund and other financial institutions’ reports and their impact on stock markets across the nations. The project heavily utilises NLP techniques/models along with data collection, data engineering and data analytics.
Monash University, Data scientist. Projects and my responsibilities:
United Nations Food safety: lead developer of Computer Vision Object Detection and Classification framework for street food safety evaluation.
Medicine: developing Computer Vision framework for the automatic classification, selection and tracking sperm cells for further extraction for In vitro fertilisation (IVF) purposes.
Macroeconomics: developed a Deep Learning framework with a web scraper and Natural language processing (NLP) pipeline with BERT based model fine tuning for the analysis of the federal reserve board, including monetary policy committee members' speeches, minutes, and press releases in order to investigate their impact on the US market and range of its indicators. Emergency services: government project for flood predictions to mitigate the consequences of the disaster. Developed Computer Vision framework to recognise/detect the area of the flooding using C-band synthetic aperture radar Data along with geospatial data as input.
Finances: developed Computer Vision framework for assessing investment attractiveness via deep analysis of satellite imagery of the populated areas in developing countries. Heavy utilisation of geospatial data.
Psychology: ML project on behavioural recognition of an individual in bargaining based on deep analysis of facial micro expressions, ECG and skin conductance data.
Energy production: data analysis of solar power plant output for further usage in model creation and forecasting.
Tutoring to master students a course “Statistical machine learning” (ETC3555)- teaching, consultation, assignments/exam marking.
Senior software developer/Project manager (JSC '1C-Rarus')
Participated in various ERP- implementation projects in petroleum industry, construction industry, ship building, food processing industry as a Project manager (at times also substituting other team members).
Responsibilities:
1) Developer- System architecture design, creating system specification (UML diagrams, reports), team meetings, brainstorms etc.
2) Sales- participating in meetings with the Key stakeholders (business owners, TOP managers), identification of the requirements of the product, presentations, stakeholder engagement.
3) Planning- development of project schedules, preparing and evaluation of budgets, preparing the estimated employees workload schedule.
4) Legal aspects- amendments to the agreements, approval of the agreements, preparing the project charters.
5) Controlling- participation in meetings, controlling project schedules, risks management, changes management, detection of and reaction to the unpredictable situations.
6) Team leadership- stuff recruitment, creating acceptable working environment, teaching new stuff members. Up to 25 people/team.
7) Programming.
8) Teaching - courses for clients (depending on the functionality of an implemented system), scheduling groups, tutoring groups.
Master by Research stream, the research topic: Autonomous unsupervised feature extraction using CNN and application of the extracted features in LSTM networks for the Time Series forecasting
