Data Scientist
My experience in data science consists of university projects, courses, predictive modelling in retail.

The topic of my masters degree project in Kyiv-Mohyla Business School [kmbs] was "Multibot system - the research of algorithmic synergy caused by cooperation of trading bots". My partner and me were building the alliance of models in Python.
The main purpose was to create the self-managed trading portfolio operated by 50 bots responsible for different assets.

I use Python and Data Science skills for predictive modelling in retail.
In particular, to create high precision Sales Forecasts: in section of shops and groups of goods sold.

I was using technologies for processing and preprocessing,
data analysis (Pandas, matplotlib, sympy, scipy, numpy), and parameter prediction using basic ML algorithms using scikit-learn
and TensorFlow frameworks.

Currently I work as a business analyst in one of Ukrainian retail companies and perform much more different tasks.

My will is to develop and grow in direction of DS, solve complex business cases and of course enjoy the process :)
- закінчив MBAF, kmbs.
- написав модель на Python на фінансову тему, управління капіталом та інвестиціями.
- написав ряд моделей на Python з акцентом на специфіку рітейл-бізнесу.
- закінчив MBAF, kmbs.
- написав модель на Python на фінансову тему, управління капіталом та інвестиціями.
- написав ряд моделей на Python з акцентом на специфіку рітейл-бізнесу.
My experience in data science consists of university projects, courses, predictive modelling in retail.

The topic of my masters degree project in Kyiv-Mohyla Business School [kmbs] was "Multibot system - the research of algorithmic synergy caused by cooperation of trading bots". My partner and me were building the alliance of models in Python.
The main purpose was to create the self-managed trading portfolio operated by 50 bots responsible for different assets.

I use Python and Data Science skills for predictive modelling in retail.
In particular, to create high precision Sales Forecasts: in section of shops and groups of goods sold.

I was using technologies for processing and preprocessing,
data analysis (Pandas, matplotlib, sympy, scipy, numpy), and parameter prediction using basic ML algorithms using scikit-learn
and TensorFlow frameworks.

Currently I work as a business analyst in one of Ukrainian retail companies and perform much more different tasks.

My will is to develop and grow in direction of DS, solve complex business cases and of course enjoy the process :)
